鹿島 久嗣

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Name(Kanji/Kana/Abecedarium Latinum)
鹿島 久嗣/カシマ ヒサシ/Kashima, Hisashi
Primary Affiliation(Org1/Job title)
Graduate School of Informatics/Professor
Faculty
Org1 Job title
工学部
Concurrent Affiliation
Org1 Job title
Center for the Promotion of Interdisciplinary Education and Research (C-PiER)
Center for the Promotion of Interdisciplinary Education and Research (C-PiER)
Academic Degree
Field(Japanese) Field(English) University(Japanese) University(English) Method
修士(工学) 京都大学
博士(情報学) 京都大学
researchmap URL
https://researchmap.jp/Hisashi_Kashima
Published Papers
Author Author(Japanese) Author(English) Title Title(Japanese) Title(English) Bibliography Bibliography(Japanese) Bibliography(English) Publication date Refereed paper Language Publishing type Disclose
Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Re-evaluating Word Mover's Distance. Re-evaluating Word Mover's Distance. Re-evaluating Word Mover's Distance. CoRR, abs/2105.14403 CoRR, abs/2105.14403 CoRR, abs/2105.14403 2021 Research paper(scientific journal) Disclose to all
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka 0002, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima Maya Okawa, Tomoharu Iwata, Yusuke Tanaka 0002, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima Maya Okawa, Tomoharu Iwata, Yusuke Tanaka 0002, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. CoRR, abs/2105.11152 CoRR, abs/2105.11152 CoRR, abs/2105.11152 2021 Research paper(scientific journal) Disclose to all
Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada Computationally Efficient Wasserstein Loss for Structured Labels. Computationally Efficient Wasserstein Loss for Structured Labels. Computationally Efficient Wasserstein Loss for Structured Labels. CoRR, abs/2103.00899 CoRR, abs/2103.00899 CoRR, abs/2103.00899 2021 Research paper(scientific journal) Disclose to all
Akira Tanimoto, Tomoya Sakai 0001, Takashi Takenouchi, Hisashi Kashima Akira Tanimoto, Tomoya Sakai 0001, Takashi Takenouchi, Hisashi Kashima Akira Tanimoto, Tomoya Sakai 0001, Takashi Takenouchi, Hisashi Kashima Causal Combinatorial Factorization Machines for Set-Wise Recommendation. Causal Combinatorial Factorization Machines for Set-Wise Recommendation. Causal Combinatorial Factorization Machines for Set-Wise Recommendation. , 498-509 , 498-509 , 498-509 2021 Research paper(international conference proceedings) Disclose to all
Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada Computationally Efficient Wasserstein Loss for Structured Labels. Computationally Efficient Wasserstein Loss for Structured Labels. Computationally Efficient Wasserstein Loss for Structured Labels. , 1-7 , 1-7 , 1-7 2021 Research paper(international conference proceedings) Disclose to all
Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. , 1290-1298 , 1290-1298 , 1290-1298 2021 Research paper(international conference proceedings) Disclose to all
Akira Tanimoto, Tomoya Sakai 0001, Takashi Takenouchi, Hisashi Kashima Akira Tanimoto, Tomoya Sakai 0001, Takashi Takenouchi, Hisashi Kashima Akira Tanimoto, Tomoya Sakai 0001, Takashi Takenouchi, Hisashi Kashima Regret Minimization for Causal Inference on Large Treatment Space. Regret Minimization for Causal Inference on Large Treatment Space. Regret Minimization for Causal Inference on Large Treatment Space. , 946-954 , 946-954 , 946-954 2021 Research paper(international conference proceedings) Disclose to all
Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint. Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint. Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint. , 145-153 , 145-153 , 145-153 2021 Research paper(international conference proceedings) Disclose to all
Jiuding Duan, Hisashi Kashima Jiuding Duan, Hisashi Kashima Jiuding Duan, Hisashi Kashima Learning to Rank for Multi-Step Ahead Time-Series Forecasting. Learning to Rank for Multi-Step Ahead Time-Series Forecasting. Learning to Rank for Multi-Step Ahead Time-Series Forecasting. IEEE Access, 9, 49372-49386 IEEE Access, 9, 49372-49386 IEEE Access, 9, 49372-49386 2021 Research paper(scientific journal) Disclose to all
Eli Kaminuma, Yukino Baba, Masahiro Mochizuki, Hirotaka Matsumoto, Haruka Ozaki, Toshitsugu Okayama, Takuya Kato, Shinya Oki, Takatomo Fujisawa, Yasukazu Nakamura, Masanori Arita, Osamu Ogasawara, Hisashi Kashima, Toshihisa Takagi Eli Kaminuma, Yukino Baba, Masahiro Mochizuki, Hirotaka Matsumoto, Haruka Ozaki, Toshitsugu Okayama, Takuya Kato, Shinya Oki, Takatomo Fujisawa, Yasukazu Nakamura, Masanori Arita, Osamu Ogasawara, Hisashi Kashima, Toshihisa Takagi Eli Kaminuma, Yukino Baba, Masahiro Mochizuki, Hirotaka Matsumoto, Haruka Ozaki, Toshitsugu Okayama, Takuya Kato, Shinya Oki, Takatomo Fujisawa, Yasukazu Nakamura, Masanori Arita, Osamu Ogasawara, Hisashi Kashima, Toshihisa Takagi DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences. DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences. DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences. Genes & genetic systems, 95, 1, 43-50 Genes & genetic systems, 95, 1, 43-50 Genes & genetic systems, 95, 1, 43-50 2020/04/22 Refereed English Disclose to all
Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Poincare: Recommending Publication Venues via Treatment Effect Estimation. Poincare: Recommending Publication Venues via Treatment Effect Estimation. Poincare: Recommending Publication Venues via Treatment Effect Estimation. CoRR, abs/2010.09157 CoRR, abs/2010.09157 CoRR, abs/2010.09157 2020 Research paper(scientific journal) Disclose to all
Shonosuke Harada, Hisashi Kashima Shonosuke Harada, Hisashi Kashima Shonosuke Harada, Hisashi Kashima GraphITE: Estimating Individual Effects of Graph-structured Treatments. GraphITE: Estimating Individual Effects of Graph-structured Treatments. GraphITE: Estimating Individual Effects of Graph-structured Treatments. CoRR, abs/2009.14061 CoRR, abs/2009.14061 CoRR, abs/2009.14061 2020 Research paper(scientific journal) Disclose to all
Yang Liu, Hisashi Kashima Yang Liu, Hisashi Kashima Yang Liu, Hisashi Kashima Chemical Property Prediction Under Experimental Biases. Chemical Property Prediction Under Experimental Biases. Chemical Property Prediction Under Experimental Biases. CoRR, abs/2009.08687 CoRR, abs/2009.08687 CoRR, abs/2009.08687 2020 Research paper(scientific journal) Disclose to all
Yukino Baba, Jiyi Li, Hisashi Kashima Yukino Baba, Jiyi Li, Hisashi Kashima Yukino Baba, Jiyi Li, Hisashi Kashima CrowDEA: Multi-view Idea Prioritization with Crowds. CrowDEA: Multi-view Idea Prioritization with Crowds. CrowDEA: Multi-view Idea Prioritization with Crowds. CoRR, abs/2008.02354 CoRR, abs/2008.02354 CoRR, abs/2008.02354 2020 Research paper(scientific journal) Disclose to all
Akira Tanimoto, Tomoya Sakai 0001, Takashi Takenouchi, Hisashi Kashima Akira Tanimoto, Tomoya Sakai 0001, Takashi Takenouchi, Hisashi Kashima Akira Tanimoto, Tomoya Sakai 0001, Takashi Takenouchi, Hisashi Kashima Regret Minimization for Causal Inference on Large Treatment Space. Regret Minimization for Causal Inference on Large Treatment Space. Regret Minimization for Causal Inference on Large Treatment Space. CoRR, abs/2006.05616 CoRR, abs/2006.05616 CoRR, abs/2006.05616 2020 Research paper(scientific journal) Disclose to all
Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Fast Unbalanced Optimal Transport on Tree. Fast Unbalanced Optimal Transport on Tree. Fast Unbalanced Optimal Transport on Tree. CoRR, abs/2006.02703 CoRR, abs/2006.02703 CoRR, abs/2006.02703 2020 Research paper(scientific journal) Disclose to all
Shonosuke Harada, Hisashi Kashima Shonosuke Harada, Hisashi Kashima Shonosuke Harada, Hisashi Kashima Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation. Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation. Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation. CoRR, abs/2005.05099 CoRR, abs/2005.05099 CoRR, abs/2005.05099 2020 Research paper(scientific journal) Disclose to all
Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Random Features Strengthen Graph Neural Networks. Random Features Strengthen Graph Neural Networks. Random Features Strengthen Graph Neural Networks. CoRR, abs/2002.03155 CoRR, abs/2002.03155 CoRR, abs/2002.03155 2020 Research paper(scientific journal) Disclose to all
Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. CoRR, abs/2002.01615 CoRR, abs/2002.01615 CoRR, abs/2002.01615 2020 Research paper(scientific journal) Disclose to all
Shonosuke Harada, Hisashi Kashima Shonosuke Harada, Hisashi Kashima Shonosuke Harada, Hisashi Kashima Counterfactual Propagation for Semi-supervised Individual Treatment Effect Estimation. Counterfactual Propagation for Semi-supervised Individual Treatment Effect Estimation. Counterfactual Propagation for Semi-supervised Individual Treatment Effect Estimation. , 542-558 , 542-558 , 542-558 2020 Research paper(international conference proceedings) Disclose to all
Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Fast Unbalanced Optimal Transport on a Tree. Fast Unbalanced Optimal Transport on a Tree. Fast Unbalanced Optimal Transport on a Tree. 2020 Research paper(international conference proceedings) Disclose to all
Jiyi Li, Yasushi Kawase, Yukino Baba, Hisashi Kashima Jiyi Li, Yasushi Kawase, Yukino Baba, Hisashi Kashima Jiyi Li, Yasushi Kawase, Yukino Baba, Hisashi Kashima Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization. Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization. Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization. , 1534-1541 , 1534-1541 , 1534-1541 2020 Research paper(international conference proceedings) Disclose to all
Yan Gu, Jiuding Duan, Hisashi Kashima Yan Gu, Jiuding Duan, Hisashi Kashima Yan Gu, Jiuding Duan, Hisashi Kashima An Intransitivity Model for Matchup and Pairwise Comparison. An Intransitivity Model for Matchup and Pairwise Comparison. An Intransitivity Model for Matchup and Pairwise Comparison. , 692-698 , 692-698 , 692-698 2020 Research paper(international conference proceedings) Disclose to all
Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. , 4594-4603 , 4594-4603 , 4594-4603 2020 Research paper(international conference proceedings) Disclose to all
Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada Topological Bayesian Optimization with Persistence Diagrams. Topological Bayesian Optimization with Persistence Diagrams. Topological Bayesian Optimization with Persistence Diagrams. , 1483-1490 , 1483-1490 , 1483-1490 2020 Research paper(international conference proceedings) Disclose to all
Hitoshi Kusano, Yuji Horiguchi, Yukino Baba, Hisashi Kashima Hitoshi Kusano, Yuji Horiguchi, Yukino Baba, Hisashi Kashima Hitoshi Kusano, Yuji Horiguchi, Yukino Baba, Hisashi Kashima Stress Prediction from Head Motion. Stress Prediction from Head Motion. Stress Prediction from Head Motion. , 488-495 , 488-495 , 488-495 2020 Research paper(international conference proceedings) Disclose to all
Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. , 245-254 , 245-254 , 245-254 2020 Research paper(international conference proceedings) Disclose to all
Shun Ito, Yukino Baba, Tetsu Isomura, Hisashi Kashima Shun Ito, Yukino Baba, Tetsu Isomura, Hisashi Kashima Shun Ito, Yukino Baba, Tetsu Isomura, Hisashi Kashima Synthetic accessibility assessment using auxiliary responses. Synthetic accessibility assessment using auxiliary responses. Synthetic accessibility assessment using auxiliary responses. Expert Syst. Appl., 145, 113106-113106 Expert Syst. Appl., 145, 113106-113106 Expert Syst. Appl., 145, 113106-113106 2020 Research paper(scientific journal) Disclose to all
李, 吉屹, 馬場, 雪乃, 鹿島, 久嗣 李, 吉屹, 馬場, 雪乃, 鹿島, 久嗣 李, 吉屹, 馬場, 雪乃, 鹿島, 久嗣 超問題:専門知識を要するクラウドソーシングタスクの回答統合法 超問題:専門知識を要するクラウドソーシングタスクの回答統合法 超問題:専門知識を要するクラウドソーシングタスクの回答統合法 日本データベース学会和文論文誌, 17-J, 8 日本データベース学会和文論文誌, 17-J, 8 日本データベース学会和文論文誌, 17-J, 8 2019/03 Refereed Japanese Research paper(scientific journal) Disclose to all
Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Approximation Ratios of Graph Neural Networks for Combinatorial Problems. Approximation Ratios of Graph Neural Networks for Combinatorial Problems. Approximation Ratios of Graph Neural Networks for Combinatorial Problems. CoRR, abs/1905.10261 CoRR, abs/1905.10261 CoRR, abs/1905.10261 2019 Research paper(scientific journal) Disclose to all
Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada Topological Bayesian Optimization with Persistence Diagrams. Topological Bayesian Optimization with Persistence Diagrams. Topological Bayesian Optimization with Persistence Diagrams. CoRR, abs/1902.09722 CoRR, abs/1902.09722 CoRR, abs/1902.09722 2019 Research paper(scientific journal) Disclose to all
Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Learning to Find Hard Instances of Graph Problems. Learning to Find Hard Instances of Graph Problems. Learning to Find Hard Instances of Graph Problems. CoRR, abs/1902.09700 CoRR, abs/1902.09700 CoRR, abs/1902.09700 2019 Research paper(scientific journal) Disclose to all
Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. CoRR, abs/1902.01148 CoRR, abs/1902.01148 CoRR, abs/1902.01148 2019 Research paper(scientific journal) Disclose to all
Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Constant Time Graph Neural Networks. Constant Time Graph Neural Networks. Constant Time Graph Neural Networks. CoRR, abs/1901.07868 CoRR, abs/1901.07868 CoRR, abs/1901.07868 2019 Research paper(scientific journal) Disclose to all
Daiki Tanaka, Yukino Baba, Hisashi Kashima, Yuta Okubo Daiki Tanaka, Yukino Baba, Hisashi Kashima, Yuta Okubo Daiki Tanaka, Yukino Baba, Hisashi Kashima, Yuta Okubo Large-scale Driver Identification Using Automobile Driving Data. Large-scale Driver Identification Using Automobile Driving Data. Large-scale Driver Identification Using Automobile Driving Data. , 3441-3446 , 3441-3446 , 3441-3446 2019 Research paper(international conference proceedings) Disclose to all
Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif Theoretical evidence for adversarial robustness through randomization. Theoretical evidence for adversarial robustness through randomization. Theoretical evidence for adversarial robustness through randomization. , 11838-11848 , 11838-11848 , 11838-11848 2019 Research paper(international conference proceedings) Disclose to all
Yasutoshi Ida, Yasuhiro Fujiwara, Hisashi Kashima Yasutoshi Ida, Yasuhiro Fujiwara, Hisashi Kashima Yasutoshi Ida, Yasuhiro Fujiwara, Hisashi Kashima Fast Sparse Group Lasso. Fast Sparse Group Lasso. Fast Sparse Group Lasso. , 1700-1708 , 1700-1708 , 1700-1708 2019 Research paper(international conference proceedings) Disclose to all
Daiki Tanaka, Makoto Yamada, Hisashi Kashima, Takeshi Kishikawa, Tomoyuki Haga, Takamitsu Sasaki Daiki Tanaka, Makoto Yamada, Hisashi Kashima, Takeshi Kishikawa, Tomoyuki Haga, Takamitsu Sasaki Daiki Tanaka, Makoto Yamada, Hisashi Kashima, Takeshi Kishikawa, Tomoyuki Haga, Takamitsu Sasaki In-Vehicle Network Intrusion Detection and Explanation Using Density Ratio Estimation. In-Vehicle Network Intrusion Detection and Explanation Using Density Ratio Estimation. In-Vehicle Network Intrusion Detection and Explanation Using Density Ratio Estimation. , 2238-2243 , 2238-2243 , 2238-2243 2019 Research paper(international conference proceedings) Disclose to all
Shogo Hayashi, Akira Tanimoto, Hisashi Kashima Shogo Hayashi, Akira Tanimoto, Hisashi Kashima Shogo Hayashi, Akira Tanimoto, Hisashi Kashima Long-Term Prediction of Small Time-Series Data Using Generalized Distillation. Long-Term Prediction of Small Time-Series Data Using Generalized Distillation. Long-Term Prediction of Small Time-Series Data Using Generalized Distillation. , 1-8 , 1-8 , 1-8 2019 Research paper(international conference proceedings) Disclose to all
Kosuke Yoshimura, Tomoaki Iwase, Yukino Baba, Hisashi Kashima Kosuke Yoshimura, Tomoaki Iwase, Yukino Baba, Hisashi Kashima Kosuke Yoshimura, Tomoaki Iwase, Yukino Baba, Hisashi Kashima Interdependence Model for Multi-label Classification. Interdependence Model for Multi-label Classification. Interdependence Model for Multi-label Classification. , 55-68 , 55-68 , 55-68 2019 Research paper(international conference proceedings) Disclose to all
Takeru Sunahase, Yukino Baba, Hisashi Kashima Takeru Sunahase, Yukino Baba, Hisashi Kashima Takeru Sunahase, Yukino Baba, Hisashi Kashima Probabilistic Modeling of Peer Correction and Peer Assessment. Probabilistic Modeling of Peer Correction and Peer Assessment. Probabilistic Modeling of Peer Correction and Peer Assessment. 2019 Research paper(international conference proceedings) Disclose to all
Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima Active Change-Point Detection. Active Change-Point Detection. Active Change-Point Detection. , 1017-1032 , 1017-1032 , 1017-1032 2019 Research paper(international conference proceedings) Disclose to all
Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Learning to Sample Hard Instances for Graph Algorithms. Learning to Sample Hard Instances for Graph Algorithms. Learning to Sample Hard Instances for Graph Algorithms. , 503-518 , 503-518 , 503-518 2019 Research paper(international conference proceedings) Disclose to all
Jill-Jênn Vie, Hisashi Kashima Jill-Jênn Vie, Hisashi Kashima Jill-Jênn Vie, Hisashi Kashima Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. , 750-757 , 750-757 , 750-757 2019 Research paper(international conference proceedings) Disclose to all
Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Ryoma Sato, Makoto Yamada, Hisashi Kashima Approximation Ratios of Graph Neural Networks for Combinatorial Problems. Approximation Ratios of Graph Neural Networks for Combinatorial Problems. Approximation Ratios of Graph Neural Networks for Combinatorial Problems. , 4083-4092 , 4083-4092 , 4083-4092 2019 Refereed Research paper(international conference proceedings) Disclose to all
Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima Context-Regularized Neural Collaborative Filtering for Game App Recommendation. Context-Regularized Neural Collaborative Filtering for Game App Recommendation. Context-Regularized Neural Collaborative Filtering for Game App Recommendation. Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019., 16-20 Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019., 16-20 Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019., 16-20 2019 Refereed Research paper(international conference proceedings) Disclose to all
Yusuke Sakata, Yukino Baba, Hisashi Kashima Yusuke Sakata, Yukino Baba, Hisashi Kashima Yusuke Sakata, Yukino Baba, Hisashi Kashima Crownn: Human-in-the-loop Network with Crowd-generated Inputs. Crownn: Human-in-the-loop Network with Crowd-generated Inputs. Crownn: Human-in-the-loop Network with Crowd-generated Inputs. Proceedings of the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 7555-7559 Proceedings of the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 7555-7559 Proceedings of the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 7555-7559 2019 Refereed English Research paper(international conference proceedings) Disclose to all
馬場, 雪乃, 高瀬, 朝海, 新, 恭兵, 小山, 聡, 鹿島, 久嗣 馬場, 雪乃, 高瀬, 朝海, 新, 恭兵, 小山, 聡, 鹿島, 久嗣 馬場, 雪乃, 高瀬, 朝海, 新, 恭兵, 小山, 聡, 鹿島, 久嗣 教育用データ解析コンペティション基盤の設計と実践 教育用データ解析コンペティション基盤の設計と実践 教育用データ解析コンペティション基盤の設計と実践 情報処理学会デジタルプラクティス, 9, 4, 859-873 情報処理学会デジタルプラクティス, 9, 4, 859-873 情報処理学会デジタルプラクティス, 9, 4, 859-873 2018/10 Japanese Research paper(scientific journal) Disclose to all
Yukino Baba, Tetsu Isomura, Hisashi Kashima Yukino Baba, Tetsu Isomura, Hisashi Kashima Yukino Baba, Tetsu Isomura, Hisashi Kashima Wisdom of crowds for synthetic accessibility evaluation Wisdom of crowds for synthetic accessibility evaluation Wisdom of crowds for synthetic accessibility evaluation Journal of Molecular Graphics and Modelling, 80, 217-223 Journal of Molecular Graphics and Modelling, 80, 217-223 Journal of Molecular Graphics and Modelling, 80, 217-223 2018/03/01 Refereed English Research paper(scientific journal) Disclose to all
Seko Atsuto, Hayashi Hiroyuki, Kashima Hisashi, Tanaka Isao Seko Atsuto, Hayashi Hiroyuki, Kashima Hisashi, Tanaka Isao Seko Atsuto, Hayashi Hiroyuki, Kashima Hisashi, Tanaka Isao Matrix- and tensor-based recommender systems for the discovery of currently unknown inorganic compounds Matrix- and tensor-based recommender systems for the discovery of currently unknown inorganic compounds Matrix- and tensor-based recommender systems for the discovery of currently unknown inorganic compounds PHYSICAL REVIEW MATERIALS, 2, 1 PHYSICAL REVIEW MATERIALS, 2, 1 PHYSICAL REVIEW MATERIALS, 2, 1 2018/01/16 Refereed Disclose to all
Jill-Jênn Vie, Hisashi Kashima Jill-Jênn Vie, Hisashi Kashima Jill-Jênn Vie, Hisashi Kashima Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. CoRR, abs/1811.03388 CoRR, abs/1811.03388 CoRR, abs/1811.03388 2018 Research paper(scientific journal) Disclose to all
Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima BayesGrad: Explaining Predictions of Graph Convolutional Networks. BayesGrad: Explaining Predictions of Graph Convolutional Networks. BayesGrad: Explaining Predictions of Graph Convolutional Networks. CoRR, abs/1807.01985 CoRR, abs/1807.01985 CoRR, abs/1807.01985 2018 Research paper(scientific journal) Disclose to all
Jiyi Li, Yukino Baba, Hisashi Kashima Jiyi Li, Yukino Baba, Hisashi Kashima Jiyi Li, Yukino Baba, Hisashi Kashima Incorporating Worker Similarity for Label Aggregation in Crowdsourcing. Incorporating Worker Similarity for Label Aggregation in Crowdsourcing. Incorporating Worker Similarity for Label Aggregation in Crowdsourcing. , 596-606 , 596-606 , 596-606 2018 Research paper(international conference proceedings) Disclose to all
Ryoma Sato, Hisashi Kashima, Takehiro Yamamoto Ryoma Sato, Hisashi Kashima, Takehiro Yamamoto Ryoma Sato, Hisashi Kashima, Takehiro Yamamoto Short-Term Precipitation Prediction with Skip-Connected PredNet. Short-Term Precipitation Prediction with Skip-Connected PredNet. Short-Term Precipitation Prediction with Skip-Connected PredNet. , 373-382 , 373-382 , 373-382 2018 Research paper(international conference proceedings) Disclose to all
Jiyi Li, Yukino Baba, Hisashi Kashima Jiyi Li, Yukino Baba, Hisashi Kashima Jiyi Li, Yukino Baba, Hisashi Kashima Simultaneous Clustering and Ranking from Pairwise Comparisons. Simultaneous Clustering and Ranking from Pairwise Comparisons. Simultaneous Clustering and Ranking from Pairwise Comparisons. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden., 1554-1560 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden., 1554-1560 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden., 1554-1560 2018 Refereed Research paper(international conference proceedings) Disclose to all
秋田 大空, 馬場 雪乃, 鹿島 久嗣, 世古 敦人 秋田 大空, 馬場 雪乃, 鹿島 久嗣, 世古 敦人 結晶化合物の物性予測のための原子間距離情報に基づくカーネル設計 結晶化合物の物性予測のための原子間距離情報に基づくカーネル設計 JSAI大会論文集, 2017, 4J12in2-4J12in2 JSAI大会論文集, 2017, 4J12in2-4J12in2 , 2017, 4J12in2-4J12in2 2018/01 Japanese Research paper(scientific journal) Disclose to all
Takuya Kuwahara, Yukino Baba, Hisashi Kashima, Takeshi Kishikawa, Jun'ichi Tsurumi, Tomoyuki Haga, Yoshihiro Ujiie, Takamitsu Sasaki, Hideki Matsushima Takuya Kuwahara, Yukino Baba, Hisashi Kashima, Takeshi Kishikawa, Jun'ichi Tsurumi, Tomoyuki Haga, Yoshihiro Ujiie, Takamitsu Sasaki, Hideki Matsushima Takuya Kuwahara, Yukino Baba, Hisashi Kashima, Takeshi Kishikawa, Jun'ichi Tsurumi, Tomoyuki Haga, Yoshihiro Ujiie, Takamitsu Sasaki, Hideki Matsushima Payload-Based Statistical Intrusion Detection for In-Vehicle Networks. Payload-Based Statistical Intrusion Detection for In-Vehicle Networks. Payload-Based Statistical Intrusion Detection for In-Vehicle Networks. Proceedings of the Australasian Workshop on Machine Learning for Cyber-security (co-located with PAKDD 2018), 186-192 Proceedings of the Australasian Workshop on Machine Learning for Cyber-security (co-located with PAKDD 2018), 186-192 Proceedings of the Australasian Workshop on Machine Learning for Cyber-security (co-located with PAKDD 2018), 186-192 2018 Refereed English Research paper(international conference proceedings) Disclose to all
Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima BayesGrad: Explaining Predictions of Graph Convolutional Networks. BayesGrad: Explaining Predictions of Graph Convolutional Networks. BayesGrad: Explaining Predictions of Graph Convolutional Networks. Proceedings of the 25th International Conference on Neural Information Processing (ICONIP), 81-92 Proceedings of the 25th International Conference on Neural Information Processing (ICONIP), 81-92 Proceedings of the 25th International Conference on Neural Information Processing (ICONIP), 81-92 2018 Refereed English Research paper(international conference proceedings) Disclose to all
Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima On Reducing Dimensionality of Labeled Data Efficiently. On Reducing Dimensionality of Labeled Data Efficiently. On Reducing Dimensionality of Labeled Data Efficiently. Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III, 77-88 Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III, 77-88 Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III, 77-88 2018 Refereed Research paper(international conference proceedings) Disclose to all
Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018, 7887-7892 Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018, 7887-7892 Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018, 7887-7892 2018 Refereed Research paper(international conference proceedings) Disclose to all
Takuya Kuwahara, Yukino Baba, Hisashi Kashima, Takeshi Kishikawa, Jun'ichi Tsurumi, Tomoyuki Haga, Yoshihiro Ujiie, Takamitsu Sasaki, Hideki Matsushima Takuya Kuwahara, Yukino Baba, Hisashi Kashima, Takeshi Kishikawa, Jun'ichi Tsurumi, Tomoyuki Haga, Yoshihiro Ujiie, Takamitsu Sasaki, Hideki Matsushima Takuya Kuwahara, Yukino Baba, Hisashi Kashima, Takeshi Kishikawa, Jun'ichi Tsurumi, Tomoyuki Haga, Yoshihiro Ujiie, Takamitsu Sasaki, Hideki Matsushima Supervised and Unsupervised Intrusion Detection Based on CAN Message Frequencies for In-vehicle Network. Supervised and Unsupervised Intrusion Detection Based on CAN Message Frequencies for In-vehicle Network. Supervised and Unsupervised Intrusion Detection Based on CAN Message Frequencies for In-vehicle Network. J. Inf. Process., 26, 306-313 J. Inf. Process., 26, 306-313 J. Inf. Process., 26, 306-313 2018 Refereed English Research paper(scientific journal) Disclose to all
Junpei Naito, Yukino Baba, Hisashi Kashima, Takenori Takaki, Takuya Funo Junpei Naito, Yukino Baba, Hisashi Kashima, Takenori Takaki, Takuya Funo Junpei Naito, Yukino Baba, Hisashi Kashima, Takenori Takaki, Takuya Funo Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests. Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests. Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests. Proceedings of the 8th Symposium on Educational Advances in Artificial Intelligence (EAAI), 7934-7940 Proceedings of the 8th Symposium on Educational Advances in Artificial Intelligence (EAAI), 7934-7940 Proceedings of the 8th Symposium on Educational Advances in Artificial Intelligence (EAAI), 7934-7940 2018 Refereed English Research paper(international conference proceedings) Disclose to all
Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima Educational Competition Platform for Data Analysis: Lessons Learned and Future Challenges Educational Competition Platform for Data Analysis: Lessons Learned and Future Challenges Educational Competition Platform for Data Analysis: Lessons Learned and Future Challenges Proceedings of the 8th Symposium on Educational Advances in Artificial Intelligence (EAAI) Proceedings of the 8th Symposium on Educational Advances in Artificial Intelligence (EAAI) Proceedings of the 8th Symposium on Educational Advances in Artificial Intelligence (EAAI) 2018 Refereed English Research paper(international conference proceedings) Disclose to all
Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling. AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling. AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling. Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI),, 1619-1626 Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI),, 1619-1626 Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI),, 1619-1626 2018 Refereed English Research paper(international conference proceedings) Disclose to all
Kosuke Yoshimura, Yukino Baba, Hisashi Kashima Kosuke Yoshimura, Yukino Baba, Hisashi Kashima Kosuke Yoshimura, Yukino Baba, Hisashi Kashima Quality Control for Crowdsourced Multi-label Classification Using RAkEL. Quality Control for Crowdsourced Multi-label Classification Using RAkEL. Quality Control for Crowdsourced Multi-label Classification Using RAkEL. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10634, 64-73 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10634, 64-73 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10634, 64-73 2017 Refereed English Research paper(international conference proceedings) Disclose to all
Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. CoRR, abs/1709.01584 CoRR, abs/1709.01584 CoRR, abs/1709.01584 2017 Refereed Research paper(scientific journal) Disclose to all
Jiyi Li, Hisashi Kashima Jiyi Li, Hisashi Kashima Jiyi Li, Hisashi Kashima Iterative Reduction Worker Filtering for Crowdsourced Label Aggregation. Iterative Reduction Worker Filtering for Crowdsourced Label Aggregation. Iterative Reduction Worker Filtering for Crowdsourced Label Aggregation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10570, 46-54 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10570, 46-54 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10570, 46-54 2017 Refereed English Research paper(international conference proceedings) Disclose to all
Koh Takeuchi, Hisashi Kashima, Naonori Ueda Koh Takeuchi, Hisashi Kashima, Naonori Ueda Koh Takeuchi, Hisashi Kashima, Naonori Ueda Autoregressive Tensor Factorization for Spatio-Temporal Predictions. Autoregressive Tensor Factorization for Spatio-Temporal Predictions. Autoregressive Tensor Factorization for Spatio-Temporal Predictions. Proceedings - IEEE International Conference on Data Mining, ICDM, 2017-, 1105-1110 Proceedings - IEEE International Conference on Data Mining, ICDM, 2017-, 1105-1110 Proceedings - IEEE International Conference on Data Mining, ICDM, 2017-, 1105-1110 2017 Refereed English Research paper(international conference proceedings) Disclose to all
Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, 3, 21-26 Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, 3, 21-26 Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, 3, 21-26 2017 Refereed English Research paper(international conference proceedings) Disclose to all
Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines. Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines. Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines. Proceedings of the 29th Conference on Innovative Applications of Artificial Intelligence (IAAI), 4686-4693 Proceedings of the 29th Conference on Innovative Applications of Artificial Intelligence (IAAI), 4686-4693 Proceedings of the 29th Conference on Innovative Applications of Artificial Intelligence (IAAI), 4686-4693 2017 Refereed Research paper(international conference proceedings) Disclose to all
Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU. Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU. Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU. Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 1481-1487 Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 1481-1487 Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 1481-1487 2017 Refereed Research paper(international conference proceedings) Disclose to all
Takeru Sunahase, Yukino Baba, Hisashi Kashima Takeru Sunahase, Yukino Baba, Hisashi Kashima Takeru Sunahase, Yukino Baba, Hisashi Kashima Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process. Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process. Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process. Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 977-984 Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 977-984 Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 977-984 2017 Refereed Research paper(international conference proceedings) Disclose to all
Jiuding Duan, Jiyi Li, Yukino Baba, Hisashi Kashima Jiuding Duan, Jiyi Li, Yukino Baba, Hisashi Kashima Jiuding Duan, Jiyi Li, Yukino Baba, Hisashi Kashima A Generalized Model for Multidimensional Intransitivity. A Generalized Model for Multidimensional Intransitivity. A Generalized Model for Multidimensional Intransitivity. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10235, 840-852 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10235, 840-852 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10235, 840-852 2017 Refereed English Research paper(international conference proceedings) Disclose to all
Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies. Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies. Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10535, 238-250 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10535, 238-250 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10535, 238-250 2017 Refereed English Research paper(international conference proceedings) Disclose to all
Jiyi Li, Tomohiro Arai, Yukino Baba, Hisashi Kashima, Shotaro Miwa Jiyi Li, Tomohiro Arai, Yukino Baba, Hisashi Kashima, Shotaro Miwa Jiyi Li, Tomohiro Arai, Yukino Baba, Hisashi Kashima, Shotaro Miwa Distributed Multi-task Learning for Sensor Network. Distributed Multi-task Learning for Sensor Network. Distributed Multi-task Learning for Sensor Network. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10535, 657-672 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10535, 657-672 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10535, 657-672 2017 Refereed English Research paper(international conference proceedings) Disclose to all
Hirotaka Akita, Yukino Baba, Hisashi Kashima, Atsuto Seko Hirotaka Akita, Yukino Baba, Hisashi Kashima, Atsuto Seko Hirotaka Akita, Yukino Baba, Hisashi Kashima, Atsuto Seko Atomic Distance Kernel for Material Property Prediction. Atomic Distance Kernel for Material Property Prediction. Atomic Distance Kernel for Material Property Prediction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10634, 526-533 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10634, 526-533 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10634, 526-533 2017 Refereed English Research paper(international conference proceedings) Disclose to all
Jiyi Li, Yukino Baba, Hisashi Kashima Jiyi Li, Yukino Baba, Hisashi Kashima Jiyi Li, Yukino Baba, Hisashi Kashima Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing. Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing. Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing. International Conference on Information and Knowledge Management, Proceedings, 131841, 1069-1078 International Conference on Information and Knowledge Management, Proceedings, 131841, 1069-1078 International Conference on Information and Knowledge Management, Proceedings, 131841, 1069-1078 2017 Refereed English Research paper(international conference proceedings) Disclose to all
Koh Takeuchi, Hisashi Kashima, Naonori Ueda Koh Takeuchi, Hisashi Kashima, Naonori Ueda Koh Takeuchi, Hisashi Kashima, Naonori Ueda Koh Takeuchi, Hisashi Kashima, Naonori Ueda Koh Takeuchi, Hisashi Kashima, Naonori Ueda Koh Takeuchi, Hisashi Kashima, Naonori Ueda Proceedings of the 2017 IEEE International Conference on Data Mining (ICDM) Proceedings of the 2017 IEEE International Conference on Data Mining (ICDM) Proceedings of the 2017 IEEE International Conference on Data Mining (ICDM) 2017 Refereed English Research paper(international conference proceedings) Disclose to all
Hisashi Kashima 則 のぞみ, 鹿島 久嗣, 山下 和人, 猪飼 宏, 今中 雄一 Hisashi Kashima Multi-Task Learning for Disease-Specific Risk Modeling of ICU Patients マルチタスク学習による集中治療室入室患者のリスクモデル構築 Multi-Task Learning for Disease-Specific Risk Modeling of ICU Patients IEICE Transactions, J100-D, 2, 194-204 電子情報通信学会論文誌和文, J100-D, 2, 194-204 IEICE Transactions, J100-D, 2, 194-204 2017 Refereed Japanese Research paper(scientific journal) Disclose to all
Sho Yokoi, Hiroshi Kajino, Hisashi Kashima Sho Yokoi, Hiroshi Kajino, Hisashi Kashima Sho Yokoi, Hiroshi Kajino, Hisashi Kashima Link Prediction in Sparse Networks by Incidence Matrix Factorization. Link Prediction in Sparse Networks by Incidence Matrix Factorization. Link Prediction in Sparse Networks by Incidence Matrix Factorization. J. Inf. Process., 25, 477-485 J. Inf. Process., 25, 477-485 J. Inf. Process., 25, 477-485 2017 Refereed English Research paper(scientific journal) Disclose to all
Naoki Otani, Yukino Baba, Hisashi Kashima Naoki Otani, Yukino Baba, Hisashi Kashima Naoki Otani, Yukino Baba, Hisashi Kashima Quality control of crowdsourced classification using hierarchical class structures Quality control of crowdsourced classification using hierarchical class structures Quality control of crowdsourced classification using hierarchical class structures EXPERT SYSTEMS WITH APPLICATIONS, 58, 155-163 EXPERT SYSTEMS WITH APPLICATIONS, 58, 155-163 EXPERT SYSTEMS WITH APPLICATIONS, 58, 155-163 2016/10 Refereed English Research paper(scientific journal) Disclose to all
Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima Quality control for crowdsourced enumeration Quality control for crowdsourced enumeration Quality control for crowdsourced enumeration Transactions of the Japanese Society for Artificial Intelligence, 31, 2, 64-73 Transactions of the Japanese Society for Artificial Intelligence, 31, 2, 64-73 Transactions of the Japanese Society for Artificial Intelligence, 31, 2, 64-73 2016/02/18 Refereed Japanese Research paper(scientific journal) Disclose to all
Kaito Fujii, Hisashi Kashima Kaito Fujii, Hisashi Kashima Kaito Fujii, Hisashi Kashima Budgeted stream-based active learning via adaptive submodular maximization. Budgeted stream-based active learning via adaptive submodular maximization. Budgeted stream-based active learning via adaptive submodular maximization. , 514-522 , 514-522 , 514-522 2016 Research paper(international conference proceedings) Disclose to all
Ryusuke Takahama, Toshihiro Kamishima, Hisashi Kashima Ryusuke Takahama, Toshihiro Kamishima, Hisashi Kashima Ryusuke Takahama, Toshihiro Kamishima, Hisashi Kashima Progressive Comparison for Ranking Estimation. Progressive Comparison for Ranking Estimation. Progressive Comparison for Ranking Estimation. , 3882-3888 , 3882-3888 , 3882-3888 2016 Research paper(international conference proceedings) Disclose to all
Yukino Baba, Kei Kinoshita, Hisashi Kashima Yukino Baba, Kei Kinoshita, Hisashi Kashima Yukino Baba, Kei Kinoshita, Hisashi Kashima Participation recommendation system for crowdsourcing contests. Participation recommendation system for crowdsourcing contests. Participation recommendation system for crowdsourcing contests. Expert Syst. Appl., 58, 174-183 Expert Syst. Appl., 58, 174-183 Expert Syst. Appl., 58, 174-183 2016 Refereed English Research paper(scientific journal) Disclose to all
Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable. Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable. Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable. Int. J. Data Sci. Anal., 2, 1-2, 45-60 Int. J. Data Sci. Anal., 2, 1-2, 45-60 Int. J. Data Sci. Anal., 2, 1-2, 45-60 2016 Refereed Research paper(scientific journal) Disclose to all
Patrick Jörger, Yukino Baba, Hisashi Kashima Patrick Jörger, Yukino Baba, Hisashi Kashima Patrick Jörger, Yukino Baba, Hisashi Kashima Learning to Enumerate. Learning to Enumerate. Learning to Enumerate. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2016, PT I, 9886, 453-460 ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2016, PT I, 9886, 453-460 ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2016, PT I, 9886, 453-460 2016 Refereed English Research paper(international conference proceedings) Disclose to all
Sho Yokoi, Hiroshi Kajino, Hisashi Kashima Sho Yokoi, Hiroshi Kajino, Hisashi Kashima Sho Yokoi, Hiroshi Kajino, Hisashi Kashima Link Prediction by Incidence Matrix Factorization. Link Prediction by Incidence Matrix Factorization. Link Prediction by Incidence Matrix Factorization. ECAI 2016: 22ND EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, 285, 1730-1731 ECAI 2016: 22ND EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, 285, 1730-1731 ECAI 2016: 22ND EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, 285, 1730-1731 2016 Refereed English Research paper(international conference proceedings) Disclose to all
Naoki Otani, Yukino Baba, Hisashi Kashima Naoki Otani, Yukino Baba, Hisashi Kashima Naoki Otani, Yukino Baba, Hisashi Kashima Quality control of crowdsourced classification using hierarchical class structures. Quality control of crowdsourced classification using hierarchical class structures. Quality control of crowdsourced classification using hierarchical class structures. Expert Syst. Appl., 58, 155-163 Expert Syst. Appl., 58, 155-163 Expert Syst. Appl., 58, 155-163 2016 Refereed English Research paper(scientific journal) Disclose to all
Kai Morino, Yoshito Hirata, Ryota Tomioka, Hisashi Kashima, Kenji Yamanishi, Norihiro Hayashi, Shin Egawa, Kazuyuki Aihara Kai Morino, Yoshito Hirata, Ryota Tomioka, Hisashi Kashima, Kenji Yamanishi, Norihiro Hayashi, Shin Egawa, Kazuyuki Aihara Kai Morino, Yoshito Hirata, Ryota Tomioka, Hisashi Kashima, Kenji Yamanishi, Norihiro Hayashi, Shin Egawa, Kazuyuki Aihara Predicting disease progression from short biomarker series using expert advice algorithm Predicting disease progression from short biomarker series using expert advice algorithm Predicting disease progression from short biomarker series using expert advice algorithm SCIENTIFIC REPORTS, 5, 8953 SCIENTIFIC REPORTS, 5, 8953 SCIENTIFIC REPORTS, 5, 8953 2015/05 Refereed English Research paper(scientific journal) Disclose to all
Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Yukino Baba, Hisashi Kashima, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Yukino Baba, Hisashi Kashima, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Yukino Baba, Hisashi Kashima, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima Health checkup and telemedical intervention program for preventive medicine in developing countries: verification study. Health checkup and telemedical intervention program for preventive medicine in developing countries: verification study. Health checkup and telemedical intervention program for preventive medicine in developing countries: verification study. Journal of medical Internet research, 17, 1, e2 Journal of medical Internet research, 17, 1, e2 Journal of medical Internet research, 17, 1, e2 2015/01/28 Refereed English Research paper(scientific journal) Disclose to all
Nozomi Nori, Danushka Bollegala, Hisashi Kashima 則 のぞみ, ボレガラ ダヌシカ, 鹿島 久嗣 Nozomi Nori, Danushka Bollegala, Hisashi Kashima Simultaneous higher-order relation prediction via collective incidence matrix embedding 接続行列埋め込みに基づく複数種類の多項関係の同時予測 Simultaneous higher-order relation prediction via collective incidence matrix embedding Transactions of the Japanese Society for Artificial Intelligence, 30, 2, 459-465 人工知能学会論文誌, 30, 2, 459-465 Transactions of the Japanese Society for Artificial Intelligence, 30, 2, 459-465 2015/01/22 Refereed Japanese Research paper(scientific journal) Disclose to all
Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem. Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem. Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem. CoRR, abs/1506.02550 CoRR, abs/1506.02550 CoRR, abs/1506.02550 2015 Research paper(scientific journal) Disclose to all
Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Hiroshi Ikai, Yuichi Imanaka Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Hiroshi Ikai, Yuichi Imanaka Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Hiroshi Ikai, Yuichi Imanaka Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care. Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care. Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015-, 855-864 Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015-, 855-864 Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015-, 855-864 2015 Refereed English Research paper(international conference proceedings) Disclose to all
Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem. Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem. Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem. , 1141-1154 , 1141-1154 , 1141-1154 2015 Refereed Research paper(international conference proceedings) Disclose to all
Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima Quality Control for Crowdsourced POI Collection. Quality Control for Crowdsourced POI Collection. Quality Control for Crowdsourced POI Collection. Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 255-267 Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 255-267 Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 255-267 2015 Refereed English Research paper(international conference proceedings) Disclose to all
Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam Maruf, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam Maruf, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam Maruf, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 1681-1690 Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 1681-1690 Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 1681-1690 2015 Refereed English Research paper(international conference proceedings) Disclose to all
Naoki Otani, Yukino Baba, Hisashi Kashima Naoki Otani, Yukino Baba, Hisashi Kashima Naoki Otani, Yukino Baba, Hisashi Kashima Quality Control for Crowdsourced Hierarchical Classification. Quality Control for Crowdsourced Hierarchical Classification. Quality Control for Crowdsourced Hierarchical Classification. Proceedings of the 2015 IEEE International Conference on Data Mining (ICDM), 937-942 Proceedings of the 2015 IEEE International Conference on Data Mining (ICDM), 937-942 Proceedings of the 2015 IEEE International Conference on Data Mining (ICDM), 937-942 2015 Refereed English Research paper(international conference proceedings) Disclose to all
Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima From one star to three stars: Upgrading legacy open data using crowdsourcing. From one star to three stars: Upgrading legacy open data using crowdsourcing. From one star to three stars: Upgrading legacy open data using crowdsourcing. 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015, Campus des Cordeliers, Paris, France, October 19-21, 2015, 1-9 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015, Campus des Cordeliers, Paris, France, October 19-21, 2015, 1-9 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015, Campus des Cordeliers, Paris, France, October 19-21, 2015, 1-9 2015 Refereed Research paper(international conference proceedings) Disclose to all
Jiuding Duan, Atsuto Seko, Hisashi Kashima Jiuding Duan, Atsuto Seko, Hisashi Kashima Jiuding Duan, Atsuto Seko, Hisashi Kashima Quantum Energy Prediction Using Graph Kernel. Quantum Energy Prediction Using Graph Kernel. Quantum Energy Prediction Using Graph Kernel. 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 1651-1656 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 1651-1656 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 1651-1656 2015 Refereed English Research paper(international conference proceedings) Disclose to all
Toshihiro Watanabe, Hisashi Kashima Toshihiro Watanabe, Hisashi Kashima Toshihiro Watanabe, Hisashi Kashima A Label Completion Approach to Crowd Approximation. A Label Completion Approach to Crowd Approximation. A Label Completion Approach to Crowd Approximation. , 377-385 , 377-385 , 377-385 2014 Research paper(international conference proceedings) Disclose to all
Yukino Baba, Nozomi Nori, Shigeru Saito, Hisashi Kashima Yukino Baba, Nozomi Nori, Shigeru Saito, Hisashi Kashima Yukino Baba, Nozomi Nori, Shigeru Saito, Hisashi Kashima Crowdsourced Data Analytics: A Case Study of a Predictive Modeling Competition. Crowdsourced Data Analytics: A Case Study of a Predictive Modeling Competition. Crowdsourced Data Analytics: A Case Study of a Predictive Modeling Competition. 2014 Research paper(international conference proceedings) Disclose to all
Nozomi Nori, Danushka Bollegala, Hisashi Kashima 則 のぞみ, ボレガラ ダヌシカ, 鹿島 久嗣 Nozomi Nori, Danushka Bollegala, Hisashi Kashima A dimension reduction approach to multinomial relation prediction 次元削減による多項関係予測 A dimension reduction approach to multinomial relation prediction Transactions of the Japanese Society for Artificial Intelligence, 29, 1, 168-176 人工知能学会論文誌, 29, 1, 168-176 Transactions of the Japanese Society for Artificial Intelligence, 29, 1, 168-176 2014 Refereed Japanese Research paper(scientific journal) Disclose to all
Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima 梶村 俊介, 馬場 雪乃, 梶野 洸, 鹿島 久嗣 Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima Quality Control for Crowdsourced Enumeration Tasks. 列挙型クラウドソーシングタスクのための品質管理法 Quality Control for Crowdsourced Enumeration Tasks. Transactions of the Japanese Society for Artificial Intelligence, 31, 2 人工知能学会論文誌, 31, 2 Transactions of the Japanese Society for Artificial Intelligence, 31, 2 2014 Refereed Japanese Research paper(international conference proceedings) Disclose to all
Issei Sato, Hisashi Kashima, Hiroshi Nakagawa Issei Sato, Hisashi Kashima, Hiroshi Nakagawa Issei Sato, Hisashi Kashima, Hiroshi Nakagawa Latent Confusion Analysis by Normalized Gamma Construction. Latent Confusion Analysis by Normalized Gamma Construction. Latent Confusion Analysis by Normalized Gamma Construction. In Proceedings of the 31st International Conference on Machine Learning (ICML 2014), 1116-1124 In Proceedings of the 31st International Conference on Machine Learning (ICML 2014), 1116-1124 In Proceedings of the 31st International Conference on Machine Learning (ICML 2014), 1116-1124 2014 Refereed English Research paper(international conference proceedings) Disclose to all
岩瀬 智亮, 世古 敦人, 鹿島 久嗣 岩瀬 智亮, 世古 敦人, 鹿島 久嗣 マルチタスク学習を用いた複数物性値の同時予測 (情報論的学習理論と機械学習) マルチタスク学習を用いた複数物性値の同時予測 (情報論的学習理論と機械学習) 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 113, 476, 9-13 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 113, 476, 9-13 , 113, 476, 9-13 2014/01 Japanese Research paper(scientific journal) Disclose to all
Yukino Baba, Nozomi Nori, Shigeru Saito, Hisashi Kashima Yukino Baba, Nozomi Nori, Shigeru Saito, Hisashi Kashima Yukino Baba, Nozomi Nori, Shigeru Saito, Hisashi Kashima Crowdsourced data analytics: A case study of a predictive modeling competition. Crowdsourced data analytics: A case study of a predictive modeling competition. Crowdsourced data analytics: A case study of a predictive modeling competition. Proceedings of the 2014 International Conference on Data Science and Advanced Analytics (DSAA), 284-289 Proceedings of the 2014 International Conference on Data Science and Advanced Analytics (DSAA), 284-289 Proceedings of the 2014 International Conference on Data Science and Advanced Analytics (DSAA), 284-289 2014 Refereed English Research paper(international conference proceedings) Disclose to all
Hiroshi Kajino, Yukino Baba, Hisashi Kashima Hiroshi Kajino, Yukino Baba, Hisashi Kashima Hiroshi Kajino, Yukino Baba, Hisashi Kashima Instance-Privacy Preserving Crowdsourcing. Instance-Privacy Preserving Crowdsourcing. Instance-Privacy Preserving Crowdsourcing. Proceedings of the 2nd AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 96-103 Proceedings of the 2nd AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 96-103 Proceedings of the 2nd AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 96-103 2014 Refereed English Research paper(international conference proceedings) Disclose to all
鹿島, 久嗣, 馬場, 雪乃 鹿島, 久嗣, 馬場, 雪乃 鹿島, 久嗣, 馬場, 雪乃 ヒューマンコンピュテーション概説 ヒューマンコンピュテーション概説 ヒューマンコンピュテーション概説 人工知能, 29, 1, 4-11 人工知能, 29, 1, 4-11 人工知能, 29, 1, 4-11 2014/01 Japanese Research paper(other academic) Disclose to all
Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima Crowdordering. Crowdordering. Crowdordering. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8444, 2, 336-347 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8444, 2, 336-347 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8444, 2, 336-347 2014 Refereed English Research paper(international conference proceedings) Disclose to all
Jingjing Wang, Satoshi Oyama, Masahito Kurihara, Hisashi Kashima Jingjing Wang, Satoshi Oyama, Masahito Kurihara, Hisashi Kashima Jingjing Wang, Satoshi Oyama, Masahito Kurihara, Hisashi Kashima Learning an accurate entity resolution model from crowdsourced labels. Learning an accurate entity resolution model from crowdsourced labels. Learning an accurate entity resolution model from crowdsourced labels. Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014, 103-8 Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014, 103-8 Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014, 103-8 2014 Refereed English Research paper(international conference proceedings) Disclose to all
Yukino Baba, Hisashi Kashima, Kei Kinoshita, Goushi Yamaguchi, Yosuke Akiyoshi Yukino Baba, Hisashi Kashima, Kei Kinoshita, Goushi Yamaguchi, Yosuke Akiyoshi Yukino Baba, Hisashi Kashima, Kei Kinoshita, Goushi Yamaguchi, Yosuke Akiyoshi Leveraging non-expert crowdsourcing workers for improper task detection in crowdsourcing marketplaces. Leveraging non-expert crowdsourcing workers for improper task detection in crowdsourcing marketplaces. Leveraging non-expert crowdsourcing workers for improper task detection in crowdsourcing marketplaces. Expert Syst. Appl., 41, 6, 2678-2687 Expert Syst. Appl., 41, 6, 2678-2687 Expert Syst. Appl., 41, 6, 2678-2687 2014 Refereed English Research paper(scientific journal) Disclose to all
Hiroshi Kajino, Hiromi Arai, Hisashi Kashima Hiroshi Kajino, Hiromi Arai, Hisashi Kashima Hiroshi Kajino, Hiromi Arai, Hisashi Kashima Preserving worker privacy in crowdsourcing. Preserving worker privacy in crowdsourcing. Preserving worker privacy in crowdsourcing. Data Min. Knowl. Discov., 28, 5-6, 1314-1335 Data Min. Knowl. Discov., 28, 5-6, 1314-1335 Data Min. Knowl. Discov., 28, 5-6, 1314-1335 2014 Refereed English Research paper(scientific journal) Disclose to all
Yoshifumi Aimoto, Hisashi Kashima Yoshifumi Aimoto, Hisashi Kashima Yoshifumi Aimoto, Hisashi Kashima Matrix Factorization With Aggregated Observations. Matrix Factorization With Aggregated Observations. Matrix Factorization With Aggregated Observations. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7819, 2, 521-532 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7819, 2, 521-532 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7819, 2, 521-532 2013 Refereed English Research paper(international conference proceedings) Disclose to all
Yukino Baba, Hisashi Kashima Yukino Baba, Hisashi Kashima Yukino Baba, Hisashi Kashima Statistical quality estimation for general crowdsourcing tasks. Statistical quality estimation for general crowdsourcing tasks. Statistical quality estimation for general crowdsourcing tasks. The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013, 554-562 The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013, 554-562 The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013, 554-562 2013 Refereed Research paper(international conference proceedings) Disclose to all
Satoshi Oyama, Yukino Baba, Yuko Sakurai, Hisashi Kashima Satoshi Oyama, Yukino Baba, Yuko Sakurai, Hisashi Kashima Satoshi Oyama, Yukino Baba, Yuko Sakurai, Hisashi Kashima Accurate Integration of Crowdsourced Labels Using Workers' Self-reported Confidence Scores. Accurate Integration of Crowdsourced Labels Using Workers' Self-reported Confidence Scores. Accurate Integration of Crowdsourced Labels Using Workers' Self-reported Confidence Scores. IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013, 2554-2560 IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013, 2554-2560 IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013, 2554-2560 2013 Refereed Research paper(international conference proceedings) Disclose to all
Yukino Baba, Hisashi Kashima, Kei Kinoshita, Goushi Yamaguchi, Yosuke Akiyoshi Yukino Baba, Hisashi Kashima, Kei Kinoshita, Goushi Yamaguchi, Yosuke Akiyoshi Yukino Baba, Hisashi Kashima, Kei Kinoshita, Goushi Yamaguchi, Yosuke Akiyoshi Leveraging Crowdsourcing to Detect Improper Tasks in Crowdsourcing Marketplaces. Leveraging Crowdsourcing to Detect Improper Tasks in Crowdsourcing Marketplaces. Leveraging Crowdsourcing to Detect Improper Tasks in Crowdsourcing Marketplaces. Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, IAAI 2013, July 14-18, 2013, Bellevue, Washington, USA. Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, IAAI 2013, July 14-18, 2013, Bellevue, Washington, USA. Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, IAAI 2013, July 14-18, 2013, Bellevue, Washington, USA. 2013 Refereed Research paper(international conference proceedings) Disclose to all
Satoshi Oyama, Yukino Baba, Yuko Sakurai, Hisashi Kashima Satoshi Oyama, Yukino Baba, Yuko Sakurai, Hisashi Kashima Satoshi Oyama, Yukino Baba, Yuko Sakurai, Hisashi Kashima EM-Based Inference of True Labels Using Confidence Judgments. EM-Based Inference of True Labels Using Confidence Judgments. EM-Based Inference of True Labels Using Confidence Judgments. Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, An Adjunct to the Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, November 7-9, 2013, Palm Springs, CA, USA Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, An Adjunct to the Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, November 7-9, 2013, Palm Springs, CA, USA Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, An Adjunct to the Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, November 7-9, 2013, Palm Springs, CA, USA 2013 Refereed Research paper(international conference proceedings) Disclose to all
Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima Crowdsourcing Quality Control for Item Ordering Tasks. Crowdsourcing Quality Control for Item Ordering Tasks. Crowdsourcing Quality Control for Item Ordering Tasks. Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, An Adjunct to the Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, November 7-9, 2013, Palm Springs, CA, USA Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, An Adjunct to the Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, November 7-9, 2013, Palm Springs, CA, USA Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, An Adjunct to the Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, November 7-9, 2013, Palm Springs, CA, USA 2013 Refereed Research paper(international conference proceedings) Disclose to all
Yukino Baba, Hisashi Kashima Yukino Baba, Hisashi Kashima Yukino Baba, Hisashi Kashima Statistical Quality Estimation for General Crowdsourcing Tasks. Statistical Quality Estimation for General Crowdsourcing Tasks. Statistical Quality Estimation for General Crowdsourcing Tasks. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 128815, 554-562 Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 128815, 554-562 Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 128815, 554-562 2013 Refereed English Research paper(international conference proceedings) Disclose to all
Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima Clustering Crowds. Clustering Crowds. Clustering Crowds. Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14-18, 2013, Bellevue, Washington, USA. Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14-18, 2013, Bellevue, Washington, USA. Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14-18, 2013, Bellevue, Washington, USA. 2013 Refereed Research paper(international conference proceedings) Disclose to all
Xu Sun 0001, Hisashi Kashima, Naonori Ueda Xu Sun 0001, Hisashi Kashima, Naonori Ueda Xu Sun 0001, Hisashi Kashima, Naonori Ueda Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning. Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning. Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning. IEEE Trans. Knowl. Data Eng., 25, 11, 2551-2563 IEEE Trans. Knowl. Data Eng., 25, 11, 2551-2563 IEEE Trans. Knowl. Data Eng., 25, 11, 2551-2563 2013 Refereed English Research paper(scientific journal) Disclose to all
Hiroto Saigo, Hisashi Kashima, Koji Tsuda Hiroto Saigo, Hisashi Kashima, Koji Tsuda Hiroto Saigo, Hisashi Kashima, Koji Tsuda Fast Iterative Mining Using Sparsity-Inducing Loss Functions. Fast Iterative Mining Using Sparsity-Inducing Loss Functions. Fast Iterative Mining Using Sparsity-Inducing Loss Functions. IEICE Trans. Inf. Syst., 96-D, 8, 1766-1773 IEICE Trans. Inf. Syst., 96-D, 8, 1766-1773 IEICE Trans. Inf. Syst., 96-D, 8, 1766-1773 2013 Refereed English Research paper(scientific journal) Disclose to all
Daisuke Kimura, Hisashi Kashima Daisuke Kimura, Hisashi Kashima Daisuke Kimura, Hisashi Kashima Fast Computation of Subpath Kernel for Trees Fast Computation of Subpath Kernel for Trees Fast Computation of Subpath Kernel for Trees CoRR, abs/1206.4642 CoRR, abs/1206.4642 CoRR, abs/1206.4642 2012 Research paper(scientific journal) Disclose to all
Pattern Recognition in Bioinformatics - 7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012. Proceedings Pattern Recognition in Bioinformatics - 7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012. Proceedings Pattern Recognition in Bioinformatics - 7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012. Proceedings , 7632 , 7632 , 7632 2012 Research paper(international conference proceedings) Disclose to all
Daisuke Kimura, Hisashi Kashima Daisuke Kimura, Hisashi Kashima Daisuke Kimura, Hisashi Kashima Fast Computation of Subpath Kernel for Trees. Fast Computation of Subpath Kernel for Trees. Fast Computation of Subpath Kernel for Trees. 2012 Research paper(international conference proceedings) Disclose to all
Michael E. Houle, Hisashi Kashima, Michael Nett Michael E. Houle, Hisashi Kashima, Michael Nett Michael E. Houle, Hisashi Kashima, Michael Nett Fast Similarity Computation in Factorized Tensors. Fast Similarity Computation in Factorized Tensors. Fast Similarity Computation in Factorized Tensors. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7404, 226-239 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7404, 226-239 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7404, 226-239 2012 Refereed English Research paper(international conference proceedings) Disclose to all
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka Parametric Return Density Estimation for Reinforcement Learning Parametric Return Density Estimation for Reinforcement Learning Parametric Return Density Estimation for Reinforcement Learning CoRR, abs/1203.3497 CoRR, abs/1203.3497 CoRR, abs/1203.3497 2012 Refereed Research paper(scientific journal) Disclose to all
Hiroshi Kajino, Hisashi Kashima 梶野 洸, 鹿島 久嗣 Hiroshi Kajino, Hisashi Kashima Convex formulations of learning from crowds クラウドソーシングを用いた教師付き学習の凸最適化による定式化 Convex formulations of learning from crowds Transactions of the Japanese Society for Artificial Intelligence, 27, 3, 133-142 人工知能学会論文誌, 27, 3, 133-142 Transactions of the Japanese Society for Artificial Intelligence, 27, 3, 133-142 2012 Japanese Research paper(scientific journal) Disclose to all
Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima 林 浩平, 竹之内 高志, 冨岡 亮太, 鹿島 久嗣 Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima Self-measuring similarity for multi-task Gaussian process 自己計測類似度を用いたマルチタスクガウス過程 Self-measuring similarity for multi-task Gaussian process Transactions of the Japanese Society for Artificial Intelligence, 27, 3, 103-110 人工知能学会論文誌, 27, 3, 103-110 Transactions of the Japanese Society for Artificial Intelligence, 27, 3, 103-110 2012 Japanese Research paper(scientific journal) Disclose to all
Hiroshi Kajino, Yuta Tsuboi, Issei Sato, Hisashi Kashima 梶野 洸, 坪井 祐太, 佐藤 一誠, 鹿島 久嗣 Hiroshi Kajino, Yuta Tsuboi, Issei Sato, Hisashi Kashima Learning from Crowds and Experts. エキスパートによる訓練データとクラウドソーシングで作成した訓練データからの教師付き学習 Learning from Crowds and Experts. Transactions of the Japanese Society for Artificial Intelligence, 28, 3, 243-248 人工知能学会論文誌, 28, 3, 243-248 Transactions of the Japanese Society for Artificial Intelligence, 28, 3, 243-248 2012 Refereed Japanese Research paper(international conference proceedings) Disclose to all
Shohei Hido, Hisashi Kashima Shohei Hido, Hisashi Kashima Shohei Hido, Hisashi Kashima Hash-based structural similarity for semi-supervised Learning on attribute graphs. Hash-based structural similarity for semi-supervised Learning on attribute graphs. Hash-based structural similarity for semi-supervised Learning on attribute graphs. 2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 3009-3012 2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 3009-3012 2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 3009-3012 2012 Refereed English Research paper(international conference proceedings) Disclose to all
Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima Self-measuring Similarity for Multi-task Gaussian Process. Self-measuring Similarity for Multi-task Gaussian Process. Self-measuring Similarity for Multi-task Gaussian Process. Unsupervised and Transfer Learning - Workshop held at ICML 2011, Bellevue, Washington, USA, July 2, 2011, 145-154 Unsupervised and Transfer Learning - Workshop held at ICML 2011, Bellevue, Washington, USA, July 2, 2011, 145-154 Unsupervised and Transfer Learning - Workshop held at ICML 2011, Bellevue, Washington, USA, July 2, 2011, 145-154 2012 Refereed Research paper(international conference proceedings) Disclose to all
Michael E. Houle, Hisashi Kashima, Michael Nett Michael E. Houle, Hisashi Kashima, Michael Nett Michael E. Houle, Hisashi Kashima, Michael Nett Generalized Expansion Dimension. Generalized Expansion Dimension. Generalized Expansion Dimension. 12TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2012), 587-594 12TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2012), 587-594 12TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2012), 587-594 2012 Refereed English Research paper(international conference proceedings) Disclose to all
Nozomi Nori, Danushka Bollegala, Hisashi Kashima Nozomi Nori, Danushka Bollegala, Hisashi Kashima Nozomi Nori, Danushka Bollegala, Hisashi Kashima Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach. Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach. Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada. 2012 Refereed Research paper(international conference proceedings) Disclose to all
Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima A Convex Formulation for Learning from Crowds. A Convex Formulation for Learning from Crowds. A Convex Formulation for Learning from Crowds. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada. 2012 Refereed Research paper(international conference proceedings) Disclose to all
Satoshi Oyama, Kohei Hayashi, Hisashi Kashima Satoshi Oyama, Kohei Hayashi, Hisashi Kashima Satoshi Oyama, Kohei Hayashi, Hisashi Kashima Link Prediction Across Time via Cross-Temporal Locality Preserving Projections. Link Prediction Across Time via Cross-Temporal Locality Preserving Projections. Link Prediction Across Time via Cross-Temporal Locality Preserving Projections. IEICE Trans. Inf. Syst., 95-D, 11, 2664-2673 IEICE Trans. Inf. Syst., 95-D, 11, 2664-2673 IEICE Trans. Inf. Syst., 95-D, 11, 2664-2673 2012 Refereed English Research paper(scientific journal) Disclose to all
Junichiro Mori, Yuya Kajikawa, Hisashi Kashima, Ichiro Sakata Junichiro Mori, Yuya Kajikawa, Hisashi Kashima, Ichiro Sakata Junichiro Mori, Yuya Kajikawa, Hisashi Kashima, Ichiro Sakata Machine learning approach for finding business partners and building reciprocal relationships. Machine learning approach for finding business partners and building reciprocal relationships. Machine learning approach for finding business partners and building reciprocal relationships. Expert Syst. Appl., 39, 12, 10402-10407 Expert Syst. Appl., 39, 12, 10402-10407 Expert Syst. Appl., 39, 12, 10402-10407 2012 Refereed English Research paper(scientific journal) Disclose to all
Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima Tensor factorization using auxiliary information. Tensor factorization using auxiliary information. Tensor factorization using auxiliary information. Data Min. Knowl. Discov., 25, 2, 298-324 Data Min. Knowl. Discov., 25, 2, 298-324 Data Min. Knowl. Discov., 25, 2, 298-324 2012 Refereed English Research paper(scientific journal) Disclose to all
Xu Sun 0001, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li 0001 Xu Sun 0001, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li 0001 Xu Sun 0001, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li 0001 A New Multi-task Learning Method for Personalized Activity Recognition. A New Multi-task Learning Method for Personalized Activity Recognition. A New Multi-task Learning Method for Personalized Activity Recognition. Proceedings - IEEE International Conference on Data Mining, ICDM, 1218-1223 Proceedings - IEEE International Conference on Data Mining, ICDM, 1218-1223 Proceedings - IEEE International Conference on Data Mining, ICDM, 1218-1223 2011 Refereed English Research paper(international conference proceedings) Disclose to all
Junichiro Mori, Yuya Kajikawa, Hisashi Kashima Junichiro Mori, Yuya Kajikawa, Hisashi Kashima Junichiro Mori, Yuya Kajikawa, Hisashi Kashima Finding business partners and building reciprocal relationships - A machine learning approach Finding business partners and building reciprocal relationships - A machine learning approach Finding business partners and building reciprocal relationships - A machine learning approach Proceedings of the 1st International Technology Management Conference, ITMC 2011, 1069-1073 Proceedings of the 1st International Technology Management Conference, ITMC 2011, 1069-1073 Proceedings of the 1st International Technology Management Conference, ITMC 2011, 1069-1073 2011 Refereed English Research paper(international conference proceedings) Disclose to all
Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya, Hisashi Kashima 木村 大翼, 久保山 哲二, 渋谷 哲朗, 鹿島 久嗣 Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya, Hisashi Kashima A subpath kernel for rooted unordered trees 部分パスに基づいた木カーネル A subpath kernel for rooted unordered trees Transactions of the Japanese Society for Artificial Intelligence, 26, 3, 473-482 人工知能学会論文誌, 26, 3, 473-482 Transactions of the Japanese Society for Artificial Intelligence, 26, 3, 473-482 2011 Japanese Research paper(scientific journal) Disclose to all
Xu Sun 0001, Hisashi Kashima, Ryota Tomioka, Naonori Ueda Xu Sun 0001, Hisashi Kashima, Ryota Tomioka, Naonori Ueda Xu Sun 0001, Hisashi Kashima, Ryota Tomioka, Naonori Ueda Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training. Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training. Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II, 6635, 222-233 ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II, 6635, 222-233 ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II, 6635, 222-233 2011 Refereed English Research paper(international conference proceedings) Disclose to all
Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima Tensor Factorization Using Auxiliary Information. Tensor Factorization Using Auxiliary Information. Tensor Factorization Using Auxiliary Information. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II, 6912, 501-516 MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II, 6912, 501-516 MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II, 6912, 501-516 2011 Refereed English Research paper(international conference proceedings) Disclose to all
Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima Statistical Performance of Convex Tensor Decomposition. Statistical Performance of Convex Tensor Decomposition. Statistical Performance of Convex Tensor Decomposition. Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain., 972-980 Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain., 972-980 Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain., 972-980 2011 Refereed Research paper(international conference proceedings) Disclose to all
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki Fast Newton-CG Method for Batch Learning of Conditional Random Fields. Fast Newton-CG Method for Batch Learning of Conditional Random Fields. Fast Newton-CG Method for Batch Learning of Conditional Random Fields. , 489-494 , 489-494 , 489-494 2011 Refereed Research paper(international conference proceedings) Disclose to all
Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya, Hisashi Kashima Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya, Hisashi Kashima Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya, Hisashi Kashima A Subpath Kernel for Rooted Unordered Trees. A Subpath Kernel for Rooted Unordered Trees. A Subpath Kernel for Rooted Unordered Trees. Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I, 62-74 Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I, 62-74 Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I, 62-74 2011 Refereed Research paper(international conference proceedings) Disclose to all
Satoshi Oyama, Kohei Hayashi, Hisashi Kashima Satoshi Oyama, Kohei Hayashi, Hisashi Kashima Satoshi Oyama, Kohei Hayashi, Hisashi Kashima Cross-Temporal Link Prediction. Cross-Temporal Link Prediction. Cross-Temporal Link Prediction. 11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011, 1188-1193 11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011, 1188-1193 11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011, 1188-1193 2011 Refereed Research paper(international conference proceedings) Disclose to all
Reiji Teramoto, Hisashi Kashima Reiji Teramoto, Hisashi Kashima Reiji Teramoto, Hisashi Kashima Prediction of protein-ligand binding affinities using multiple instance learning Prediction of protein-ligand binding affinities using multiple instance learning Prediction of protein-ligand binding affinities using multiple instance learning JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 29, 3, 492-497 JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 29, 3, 492-497 JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 29, 3, 492-497 2010/11 Refereed English Research paper(scientific journal) Disclose to all
Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Mortmura Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Mortmura Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Mortmura Least absolute policy iteration - A robust approach to value function approximation Least absolute policy iteration - A robust approach to value function approximation Least absolute policy iteration - A robust approach to value function approximation IEICE Transactions on Information and Systems, E93-D, 9, 2555-2565 IEICE Transactions on Information and Systems, E93-D, 9, 2555-2565 IEICE Transactions on Information and Systems, E93-D, 9, 2555-2565 2010/09 Refereed Research paper(scientific journal) Disclose to all
Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda Simultaneous Prediction of Biological Networks of Multiple Species from Genome-wide Data and Evolutionary Information: A Semi-supervised Approach Simultaneous Prediction of Biological Networks of Multiple Species from Genome-wide Data and Evolutionary Information: A Semi-supervised Approach Simultaneous Prediction of Biological Networks of Multiple Species from Genome-wide Data and Evolutionary Information: A Semi-supervised Approach IEEE Transactions on Knowledge and Data Enginieering, 22, 7, 957-968 IEEE Transactions on Knowledge and Data Enginieering, 22, 7, 957-968 IEEE Transactions on Knowledge and Data Enginieering, 22, 7, 957-968 2010/07 Refereed Disclose to all
MATSUZAWA Hirofumi, HIDO Shohei, IDE Tsuyoshi, KASHIMA Hisashi 松澤 裕史, 比戸 将平, 井手 剛, 鹿島 久嗣 MATSUZAWA Hirofumi, HIDO Shohei, IDE Tsuyoshi, KASHIMA Hisashi Unsupervised Change Analysis Using Supervised Learning 教師付き学習を用いた教師なし変化解析手法(知識獲得,機械学習,<特集>情報爆発論文) Unsupervised Change Analysis Using Supervised Learning The IEICE transactions on information and systems (Japanese edetion), 93, 6, 816-825 電子情報通信学会論文誌. D, 情報・システム, 93, 6, 816-825 The IEICE transactions on information and systems (Japanese edetion), 93, 6, 816-825 2010/06/01 Japanese Disclose to all
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka Parametric Return Density Estimation for Reinforcement Learning. Parametric Return Density Estimation for Reinforcement Learning. Parametric Return Density Estimation for Reinforcement Learning. , 368-375 , 368-375 , 368-375 2010 Research paper(international conference proceedings) Disclose to all
Hisashi Kashima, Hiroto Saigo, Masahiro Hattori, Koji Tsuda Hisashi Kashima, Hiroto Saigo, Masahiro Hattori, Koji Tsuda Hisashi Kashima, Hiroto Saigo, Masahiro Hattori, Koji Tsuda Graph kernels for chemoinformatics Graph kernels for chemoinformatics Graph kernels for chemoinformatics Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques, 1-15 Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques, 1-15 Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques, 1-15 2010 Refereed English Disclose to all
Yoshihiro Yamanishi, Hisashi Kashima Yoshihiro Yamanishi, Hisashi Kashima Yoshihiro Yamanishi, Hisashi Kashima Prediction of compound-protein interactions with machine learning methods Prediction of compound-protein interactions with machine learning methods Prediction of compound-protein interactions with machine learning methods Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques, 304-317 Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques, 304-317 Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques, 304-317 2010 Refereed English Disclose to all
J. Mori, Y. Kajikawa, I. Sakata, H. Kashima J. Mori, Y. Kajikawa, I. Sakata, H. Kashima J. Mori, Y. Kajikawa, I. Sakata, H. Kashima Predicting customer-supplier relationships using network-based features Predicting customer-supplier relationships using network-based features Predicting customer-supplier relationships using network-based features IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management, 1916-1920 IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management, 1916-1920 IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management, 1916-1920 2010 Refereed English Research paper(international conference proceedings) Disclose to all
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka Nonparametric Return Distribution Approximation for Reinforcement Learning. Nonparametric Return Distribution Approximation for Reinforcement Learning. Nonparametric Return Distribution Approximation for Reinforcement Learning. ICML 2010 - Proceedings, 27th International Conference on Machine Learning, 799-806 ICML 2010 - Proceedings, 27th International Conference on Machine Learning, 799-806 ICML 2010 - Proceedings, 27th International Conference on Machine Learning, 799-806 2010 Refereed Research paper(international conference proceedings) Disclose to all
Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Hisashi Kashima Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Hisashi Kashima Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Hisashi Kashima A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices. A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices. A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices. ICML 2010 - Proceedings, 27th International Conference on Machine Learning, 1087-1094 ICML 2010 - Proceedings, 27th International Conference on Machine Learning, 1087-1094 ICML 2010 - Proceedings, 27th International Conference on Machine Learning, 1087-1094 2010 Refereed Research paper(international conference proceedings) Disclose to all
Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph. Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph. Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II, PROCEEDINGS, 6119, 147-159 ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II, PROCEEDINGS, 6119, 147-159 ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II, PROCEEDINGS, 6119, 147-159 2010 Refereed English Research paper(international conference proceedings) Disclose to all
Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation. Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation. Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation. IEICE Trans. Inf. Syst., 93-D, 9, 2555-2565 IEICE Trans. Inf. Syst., 93-D, 9, 2555-2565 IEICE Trans. Inf. Syst., 93-D, 9, 2555-2565 2010 Refereed English Research paper(scientific journal) Disclose to all
Tsuyoshi Kato, Kinya Okada, Hisashi Kashima, Masashi Sugiyama Tsuyoshi Kato, Kinya Okada, Hisashi Kashima, Masashi Sugiyama Tsuyoshi Kato, Kinya Okada, Hisashi Kashima, Masashi Sugiyama A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference. A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference. A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference. Int. J. Knowl. Discov. Bioinform., 1, 1, 66-80 Int. J. Knowl. Discov. Bioinform., 1, 1, 66-80 Int. J. Knowl. Discov. Bioinform., 1, 1, 66-80 2010 Refereed Research paper(scientific journal) Disclose to all
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai Conic Programming for Multitask Learning. Conic Programming for Multitask Learning. Conic Programming for Multitask Learning. IEEE Trans. Knowl. Data Eng., 22, 7, 957-968 IEEE Trans. Knowl. Data Eng., 22, 7, 957-968 IEEE Trans. Knowl. Data Eng., 22, 7, 957-968 2010 Refereed English Research paper(scientific journal) Disclose to all
Rudy Raymond, Hisashi Kashima Rudy Raymond, Hisashi Kashima Rudy Raymond, Hisashi Kashima Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs. Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs. Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT III, 6323, 131-147 MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT III, 6323, 131-147 MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT III, 6323, 131-147 2010 Refereed English Research paper(international conference proceedings) Disclose to all
Xu Sun 0001, Hisashi Kashima, Takuya Matsuzaki, Naonori Ueda Xu Sun 0001, Hisashi Kashima, Takuya Matsuzaki, Naonori Ueda Xu Sun 0001, Hisashi Kashima, Takuya Matsuzaki, Naonori Ueda Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method. Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method. Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method. Proc. 10th International Conference on Data Mining, 1067-1072 Proc. 10th International Conference on Data Mining, 1067-1072 Proc. 10th International Conference on Data Mining, 1067-1072 2010 Refereed English Research paper(international conference proceedings) Disclose to all
Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel. Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel. Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel. IEICE Trans. Inf. Syst., 93-D, 10, 2672-2679 IEICE Trans. Inf. Syst., 93-D, 10, 2672-2679 IEICE Trans. Inf. Syst., 93-D, 10, 2672-2679 2010 Refereed English Research paper(scientific journal) Disclose to all
Hiroto Saigo, Masahiro Hattori, Hisashi Kashima, Koji Tsuda Hiroto Saigo, Masahiro Hattori, Hisashi Kashima, Koji Tsuda Hiroto Saigo, Masahiro Hattori, Hisashi Kashima, Koji Tsuda Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism. Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism. Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism. BMC Bioinform., 11, S-1, 31-31 BMC Bioinform., 11, S-1, 31-31 BMC Bioinform., 11, S-1, 31-31 2010 Refereed English Research paper(scientific journal) Disclose to all
Yosuke Ozawa, Rintaro Saito, Shigeo Fujimori, Hisashi Kashima, Masamichi Ishizaka, Hiroshi Yanagawa, Etsuko Miyamoto-Sato, Masaru Tomita Yosuke Ozawa, Rintaro Saito, Shigeo Fujimori, Hisashi Kashima, Masamichi Ishizaka, Hiroshi Yanagawa, Etsuko Miyamoto-Sato, Masaru Tomita Yosuke Ozawa, Rintaro Saito, Shigeo Fujimori, Hisashi Kashima, Masamichi Ishizaka, Hiroshi Yanagawa, Etsuko Miyamoto-Sato, Masaru Tomita Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions. Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions. Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions. BMC Bioinform., 11, 350-350 BMC Bioinform., 11, 350-350 BMC Bioinform., 11, 350-350 2010 Refereed English Research paper(scientific journal) Disclose to all
坪井祐太, 森信介, 鹿島久嗣, 小田裕樹, 松本裕治 坪井祐太, 森信介, 鹿島久嗣, 小田裕樹, 松本裕治 日本語単語分割の分野適応のための部分的アノテーションを用いた条件付き確率場の学習 日本語単語分割の分野適応のための部分的アノテーションを用いた条件付き確率場の学習 情報処理学会論文誌ジャーナル(CD-ROM), 50, 6, 1622-1635 情報処理学会論文誌ジャーナル(CD-ROM), 50, 6, 1622-1635 , 50, 6, 1622-1635 2009/06/15 Japanese Disclose to all
Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese Side Effect Prediction Using Cooperative Pathways. Side Effect Prediction Using Cooperative Pathways. Side Effect Prediction Using Cooperative Pathways. 2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009, 142-147 2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009, 142-147 2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009, 142-147 2009 Refereed English Research paper(international conference proceedings) Disclose to all
Shohei Hido, Hisashi Kashima Shohei Hido, Hisashi Kashima Shohei Hido, Hisashi Kashima A Linear-Time Graph Kernel. A Linear-Time Graph Kernel. A Linear-Time Graph Kernel. 2009 9TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, 179-188 2009 9TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, 179-188 2009 9TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, 179-188 2009 Refereed English Research paper(international conference proceedings) Disclose to all
Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura Least absolute policy iteration for robust value function approximation. Least absolute policy iteration for robust value function approximation. Least absolute policy iteration for robust value function approximation. ICRA: 2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-7, 2904-2909 ICRA: 2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-7, 2904-2909 ICRA: 2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-7, 2904-2909 2009 Refereed English Research paper(international conference proceedings) Disclose to all
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama Robust Label Propagation on Multiple Networks. Robust Label Propagation on Multiple Networks. Robust Label Propagation on Multiple Networks. IEEE Trans. Neural Networks, 20, 1, 35-44 IEEE Trans. Neural Networks, 20, 1, 35-44 IEEE Trans. Neural Networks, 20, 1, 35-44 2009 Refereed English Research paper(scientific journal) Disclose to all
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. J. Inf. Process., 17, 138-155 J. Inf. Process., 17, 138-155 J. Inf. Process., 17, 138-155 2009 Refereed Research paper(scientific journal) Disclose to all
Yuta Tsuboi, Shinsuke Mori, Hisashi Kashima, Hiroki Oda, Yuji Matsumoto 坪井 祐太, 森 信介, 鹿島 久嗣, 小田 裕樹, 松本 裕治 Yuta Tsuboi, Shinsuke Mori, Hisashi Kashima, Hiroki Oda, Yuji Matsumoto Training Conditional Random Fields Using Partial Annotations for Domain Adaptation of Japanese Word Segmentation 日本語単語分割の分野適応のための部分的アノテーションを用いた条件付確率場の学習 Training Conditional Random Fields Using Partial Annotations for Domain Adaptation of Japanese Word Segmentation IPSJ Journal, 50, 6, 1234-1247 情報処理学会論文誌, 50, 6, 1234-1247 IPSJ Journal, 50, 6, 1234-1247 2009 Refereed Disclose to all
Shohei Hido, Hisashi Kashima, Yutaka Takahashi 0001 Shohei Hido, Hisashi Kashima, Yutaka Takahashi 0001 Shohei Hido, Hisashi Kashima, Yutaka Takahashi 0001 Roughly balanced bagging for imbalanced data. Roughly balanced bagging for imbalanced data. Roughly balanced bagging for imbalanced data. Stat. Anal. Data Min., 2, 5-6, 412-426 Stat. Anal. Data Min., 2, 5-6, 412-426 Stat. Anal. Data Min., 2, 5-6, 412-426 2009 Refereed English Research paper(scientific journal) Disclose to all
Hisashi Kashima, Tsuyoshi Idé, Tsuyoshi Kato, Masashi Sugiyama Hisashi Kashima, Tsuyoshi Idé, Tsuyoshi Kato, Masashi Sugiyama Hisashi Kashima, Tsuyoshi Idé, Tsuyoshi Kato, Masashi Sugiyama Recent Advances and Trends in Large-Scale Kernel Methods. Recent Advances and Trends in Large-Scale Kernel Methods. Recent Advances and Trends in Large-Scale Kernel Methods. IEICE Trans. Inf. Syst., 92-D, 7, 1338-1353 IEICE Trans. Inf. Syst., 92-D, 7, 1338-1353 IEICE Trans. Inf. Syst., 92-D, 7, 1338-1353 2009 Refereed Research paper(scientific journal) Disclose to all
Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. Proceedings of the SIAM International Conference on Data Mining, SDM 2009, April 30 - May 2, 2009, Sparks, Nevada, USA, 1100-1111 Proceedings of the SIAM International Conference on Data Mining, SDM 2009, April 30 - May 2, 2009, Sparks, Nevada, USA, 1100-1111 Proceedings of the SIAM International Conference on Data Mining, SDM 2009, April 30 - May 2, 2009, Sparks, Nevada, USA, 1100-1111 2009 Refereed Research paper(international conference proceedings) Disclose to all
Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 5476, 1030-1037 ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 5476, 1030-1037 ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 5476, 1030-1037 2009 Refereed English Research paper(international conference proceedings) Disclose to all
Hisashi Kashima, Yoshihiro Yamanishi, Tsuyoshi Kato, Masashi Sugiyama, Koji Tsuda Hisashi Kashima, Yoshihiro Yamanishi, Tsuyoshi Kato, Masashi Sugiyama, Koji Tsuda Hisashi Kashima, Yoshihiro Yamanishi, Tsuyoshi Kato, Masashi Sugiyama, Koji Tsuda Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach. Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach. Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach. Bioinform., 25, 22, 2962-2968 Bioinform., 25, 22, 2962-2968 Bioinform., 25, 22, 2962-2968 2009 Refereed English Research paper(scientific journal) Disclose to all
Masashi Sugiyama, Taiji Suzuki, Shinichi Nakajima, Hisashi Kashima, Paul von Buenau, Motoaki Kawanabe Masashi Sugiyama, Taiji Suzuki, Shinichi Nakajima, Hisashi Kashima, Paul von Buenau, Motoaki Kawanabe Masashi Sugiyama, Taiji Suzuki, Shinichi Nakajima, Hisashi Kashima, Paul von Buenau, Motoaki Kawanabe Direct importance estimation for covariate shift adaptation Direct importance estimation for covariate shift adaptation Direct importance estimation for covariate shift adaptation ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 60, 4, 699-746 ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 60, 4, 699-746 ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 60, 4, 699-746 2008/12 Refereed English Research paper(scientific journal) Disclose to all
Shohei Hido, Hisashi Kashima Shohei Hido, Hisashi Kashima Shohei Hido, Hisashi Kashima Roughly Balanced Bagging for Imbalanced Data. Roughly Balanced Bagging for Imbalanced Data. Roughly Balanced Bagging for Imbalanced Data. , 143-152 , 143-152 , 143-152 2008 Research paper(international conference proceedings) Disclose to all
Yuta Tsuboi, Hisashi Kashima, Shinsuke Mori, Hiroki Oda, Yuji Matsumoto 0001 Yuta Tsuboi, Hisashi Kashima, Shinsuke Mori, Hiroki Oda, Yuji Matsumoto 0001 Yuta Tsuboi, Hisashi Kashima, Shinsuke Mori, Hiroki Oda, Yuji Matsumoto 0001 Training Conditional Random Fields Using Incomplete Annotations. Training Conditional Random Fields Using Incomplete Annotations. Training Conditional Random Fields Using Incomplete Annotations. , 897-904 , 897-904 , 897-904 2008 Research paper(international conference proceedings) Disclose to all
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130, 2, 443-454 Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130, 2, 443-454 Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130, 2, 443-454 2008 Refereed Research paper(international conference proceedings) Disclose to all
Hisashi Kashima, Jianying Hu, Bonnie K. Ray, Moninder Singh Hisashi Kashima, Jianying Hu, Bonnie K. Ray, Moninder Singh Hisashi Kashima, Jianying Hu, Bonnie K. Ray, Moninder Singh K-means clustering of proportional data using L1 distance. K-means clustering of proportional data using L1 distance. K-means clustering of proportional data using L1 distance. 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 1-4 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 1-4 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 1-4 2008 Refereed English Research paper(international conference proceedings) Disclose to all
Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa Unsupervised Change Analysis Using Supervised Learning. Unsupervised Change Analysis Using Supervised Learning. Unsupervised Change Analysis Using Supervised Learning. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 5012, 148-159 ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 5012, 148-159 ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 5012, 148-159 2008 Refereed English Research paper(international conference proceedings) Disclose to all
Hisashi Kashima, Kazutaka Yamasaki, Akihiro Inokuchi, Hiroto Saigo Hisashi Kashima, Kazutaka Yamasaki, Akihiro Inokuchi, Hiroto Saigo Hisashi Kashima, Kazutaka Yamasaki, Akihiro Inokuchi, Hiroto Saigo Regression with interval output values. Regression with interval output values. Regression with interval output values. 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 1-4 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 1-4 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 1-4 2008 Refereed English Research paper(international conference proceedings) Disclose to all
Yuta Tsuboi, Hisashi Kashima Yuta Tsuboi, Hisashi Kashima Yuta Tsuboi, Hisashi Kashima A new objective function for sequence labeling. A new objective function for sequence labeling. A new objective function for sequence labeling. 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 1-4 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 1-4 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 1-4 2008 Refereed English Research paper(international conference proceedings) Disclose to all
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama Integration of Multiple Networks for Robust Label Propagation. Integration of Multiple Networks for Robust Label Propagation. Integration of Multiple Networks for Robust Label Propagation. Proceedings of the SIAM International Conference on Data Mining, SDM 2008, April 24-26, 2008, Atlanta, Georgia, USA, 716-726 Proceedings of the SIAM International Conference on Data Mining, SDM 2008, April 24-26, 2008, Atlanta, Georgia, USA, 716-726 Proceedings of the SIAM International Conference on Data Mining, SDM 2008, April 24-26, 2008, Atlanta, Georgia, USA, 716-726 2008 Refereed Research paper(international conference proceedings) Disclose to all
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori Inlier-Based Outlier Detection via Direct Density Ratio Estimation. Inlier-Based Outlier Detection via Direct Density Ratio Estimation. Inlier-Based Outlier Detection via Direct Density Ratio Estimation. ICDM 2008: EIGHTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, 223-232 ICDM 2008: EIGHTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, 223-232 ICDM 2008: EIGHTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, 223-232 2008 Refereed English Research paper(international conference proceedings) Disclose to all
坪井祐太, 坪井祐太, 鹿島久嗣, 森信介, 小田裕樹, 松本裕治 坪井祐太, 坪井祐太, 鹿島久嗣, 森信介, 小田裕樹, 松本裕治 部分的かつ曖昧なラベル付き構造データからのマルコフ条件付確率場の学習 部分的かつ曖昧なラベル付き構造データからのマルコフ条件付確率場の学習 情報処理学会研究報告, 2007, 113(NL-182), 67-74 情報処理学会研究報告, 2007, 113(NL-182), 67-74 , 2007, 113(NL-182), 67-74 2007/11/19 Japanese Disclose to all
Tetsuji Kuboyama, Kouichi Hirata, Hisashi Kashima, Kiyoko F. Aoki-Kinoshita, Hiroshi Yasuda Tetsuji Kuboyama, Kouichi Hirata, Hisashi Kashima, Kiyoko F. Aoki-Kinoshita, Hiroshi Yasuda Tetsuji Kuboyama, Kouichi Hirata, Hisashi Kashima, Kiyoko F. Aoki-Kinoshita, Hiroshi Yasuda A spectrum tree kernel A spectrum tree kernel A spectrum tree kernel Transactions of the Japanese Society for Artificial Intelligence, 22, 2, 140-147 Transactions of the Japanese Society for Artificial Intelligence, 22, 2, 140-147 Transactions of the Japanese Society for Artificial Intelligence, 22, 2, 140-147 2007 Refereed English Research paper(scientific journal) Disclose to all
Hisashi Kashima Hisashi Kashima Hisashi Kashima Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk. Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk. Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk. IEICE Trans. Inf. Syst., 90-D, 12, 2043-2052 IEICE Trans. Inf. Syst., 90-D, 12, 2043-2052 IEICE Trans. Inf. Syst., 90-D, 12, 2043-2052 2007 Refereed English Research paper(scientific journal) Disclose to all
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul von Bünau, Motoaki Kawanabe Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul von Bünau, Motoaki Kawanabe Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul von Bünau, Motoaki Kawanabe Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation. Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation. Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation. Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 1433-1440 Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 1433-1440 Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 1433-1440 2007 Refereed Research paper(international conference proceedings) Disclose to all
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai Multi-Task Learning via Conic Programming. Multi-Task Learning via Conic Programming. Multi-Task Learning via Conic Programming. Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 737-744 Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 737-744 Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 737-744 2007 Refereed Research paper(international conference proceedings) Disclose to all
Hisashi Kashima, Hiroshi Sakamoto, Teruo Koyanagi Hisashi Kashima, Hiroshi Sakamoto, Teruo Koyanagi Hisashi Kashima, Hiroshi Sakamoto, Teruo Koyanagi Design and analysis of convolution kernels for tree-structured data Design and analysis of convolution kernels for tree-structured data Design and analysis of convolution kernels for tree-structured data Transactions of the Japanese Society for Artificial Intelligence, 21, 1, 113-121 Transactions of the Japanese Society for Artificial Intelligence, 21, 1, 113-121 Transactions of the Japanese Society for Artificial Intelligence, 21, 1, 113-121 2006 Refereed Japanese Research paper(scientific journal) Disclose to all
Hisashi Kashima Hisashi Kashima Hisashi Kashima Risk-Sensitive Learning via Expected Shortfall Minimization. Risk-Sensitive Learning via Expected Shortfall Minimization. Risk-Sensitive Learning via Expected Shortfall Minimization. PROCEEDINGS OF THE SIXTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING, 529-533 PROCEEDINGS OF THE SIXTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING, 529-533 PROCEEDINGS OF THE SIXTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING, 529-533 2006 Refereed English Research paper(international conference proceedings) Disclose to all
Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Ide, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, Takeshi Fukuda 鹿島 久嗣, 津村 直史, 井手 剛, 野ヶ山 尊秀, 平出 涼, 江藤 博明, 福田 剛志 Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Ide, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, Takeshi Fukuda Network-Based Problem Detection for Distributed Systems ネットワークデータを用いた分散システムにおける異常検出 Network-Based Problem Detection for Distributed Systems IEICE Transaction, J89-D, 2, 183-198 電子情報通信学会論文誌, J89-D, 2, 183-198 IEICE Transaction, J89-D, 2, 183-198 2006 Refereed Disclose to all
Hisashi Kashima, Naoki Abe 鹿島 久嗣, 安倍直樹 Hisashi Kashima, Naoki Abe A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. ネットワーク構造の確率的な時変モデルに基づく教師ありリンク予測 A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. Transactions of the Japanese Society for Artificial Intelligence, 22, 2, 340-349 人工知能学会論文誌, 22, 2, 340-349 Transactions of the Japanese Society for Artificial Intelligence, 22, 2, 340-349 2006 Refereed Japanese Research paper(international conference proceedings) Disclose to all
Kuboyama T, Hirata K, Aoki-Kinoshita KF, Kashima H, Yasuda H Kuboyama T, Hirata K, Aoki-Kinoshita KF, Kashima H, Yasuda H Kuboyama T, Hirata K, Aoki-Kinoshita KF, Kashima H, Yasuda H A gram distribution kernel applied to glycan classification and motif extraction. A gram distribution kernel applied to glycan classification and motif extraction. A gram distribution kernel applied to glycan classification and motif extraction. Genome informatics. International Conference on Genome Informatics, 17, 2, 25-34 Genome informatics. International Conference on Genome Informatics, 17, 2, 25-34 Genome informatics. International Conference on Genome Informatics, 17, 2, 25-34 2006 Refereed Disclose to all
Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Idé, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, Takeshi Fukuda Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Idé, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, Takeshi Fukuda Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Idé, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, Takeshi Fukuda Network-Based Problem Detection for Distributed Systems. Network-Based Problem Detection for Distributed Systems. Network-Based Problem Detection for Distributed Systems. Proceedings - International Conference on Data Engineering, 978-989 Proceedings - International Conference on Data Engineering, 978-989 Proceedings - International Conference on Data Engineering, 978-989 2005 Refereed English Research paper(international conference proceedings) Disclose to all
Tsuyoshi Idé, Hisashi Kashima Tsuyoshi Idé, Hisashi Kashima Tsuyoshi Idé, Hisashi Kashima Eigenspace-based anomaly detection in computer systems. Eigenspace-based anomaly detection in computer systems. Eigenspace-based anomaly detection in computer systems. , 440-449 , 440-449 , 440-449 2004 Research paper(international conference proceedings) Disclose to all
Hisashi Kashima, Yuta Tsuboi Hisashi Kashima, Yuta Tsuboi Hisashi Kashima, Yuta Tsuboi Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs. Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs. Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs. 2004 Research paper(international conference proceedings) Disclose to all
Tsuyoshi Idé, Hisashi Kashima Tsuyoshi Idé, Hisashi Kashima Tsuyoshi Idé, Hisashi Kashima Effective Dimension in Anomaly Detection: Its Application to Computer Systems. Effective Dimension in Anomaly Detection: Its Application to Computer Systems. Effective Dimension in Anomaly Detection: Its Application to Computer Systems. NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE, 3609, 189-204 NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE, 3609, 189-204 NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE, 3609, 189-204 2004 Refereed English Research paper(international conference proceedings) Disclose to all
Tetsuo Shibuya, Hisashi Kashima, Akihiko Konagaya Tetsuo Shibuya, Hisashi Kashima, Akihiko Konagaya Tetsuo Shibuya, Hisashi Kashima, Akihiko Konagaya Efficient filtering methods for clustering cDNAs with spliced sequence alignment. Efficient filtering methods for clustering cDNAs with spliced sequence alignment. Efficient filtering methods for clustering cDNAs with spliced sequence alignment. Bioinform., 20, 1, 29-39 Bioinform., 20, 1, 29-39 Bioinform., 20, 1, 29-39 2004 Refereed English Research paper(scientific journal) Disclose to all
Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi Marginalized Kernels Between Labeled Graphs. Marginalized Kernels Between Labeled Graphs. Marginalized Kernels Between Labeled Graphs. , 321-328 , 321-328 , 321-328 2003 Research paper(international conference proceedings) Disclose to all
Akihiro Inokuchi, Hisashi Kashima Akihiro Inokuchi, Hisashi Kashima Akihiro Inokuchi, Hisashi Kashima Mining Significant Pairs of Patterns from Graph Structures with Class Labels. Mining Significant Pairs of Patterns from Graph Structures with Class Labels. Mining Significant Pairs of Patterns from Graph Structures with Class Labels. , 83-90 , 83-90 , 83-90 2003 Research paper(international conference proceedings) Disclose to all
Hisashi Kashima, Teruo Koyanagi Hisashi Kashima, Teruo Koyanagi Hisashi Kashima, Teruo Koyanagi Kernels for Semi-Structured Data. Kernels for Semi-Structured Data. Kernels for Semi-Structured Data. , 291-298 , 291-298 , 291-298 2002 Research paper(international conference proceedings) Disclose to all

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Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima 原田将之介, 秋田大空, 椿真史, 馬場雪乃, 瀧川一学, 山西芳裕, 鹿島久嗣, 鹿島久嗣 Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima Dual Convolutional Neural Network for Graph of Graphs Link Prediction. Graph of Graphsに対する二重畳み込みニューラルネットワーク Dual Convolutional Neural Network for Graph of Graphs Link Prediction. CoRR, abs/1810.02080, 0, ROMBUNNO.2A1.01-2A101 人工知能学会全国大会論文集(CD-ROM), abs/1810.02080, 0, ROMBUNNO.2A1.01-2A101 CoRR, abs/1810.02080, 0, ROMBUNNO.2A1.01-2A101 2018 Japanese Disclose to all
小山 聡, 鹿島 久嗣, 櫻井 祐子, 馬場 雪乃, 松原 繁夫 小山 聡, 鹿島 久嗣, 櫻井 祐子, 馬場 雪乃, 松原 繁夫 OS-18 ヒューマンコンピュテーションとクラウドソーシング(オーガナイズドセッション,<特集>2014年度人工知能学会全国大会(第28回)) OS-18 ヒューマンコンピュテーションとクラウドソーシング(オーガナイズドセッション,<特集>2014年度人工知能学会全国大会(第28回)) 人工知能 = journal of the Japanese Society for Artificial Intelligence, 29, 6 人工知能 = journal of the Japanese Society for Artificial Intelligence, 29, 6 , 29, 6 2014/11/01 Japanese Disclose to all
PTASZYNSKI Michal, RZEPKA Rafal, OYAMA Satoshi, KURIHARA Masahito, Satoshi Oyama, Hisashi Kashima, Yuko Sakuraia, Shigeo Matsubara 小山 聡, 鹿島 久嗣, 櫻井 祐子, 松原 繁夫, 荒木 健治, Hisashi Kashima, Yuko Sakuraia, Shigeo Matsubara PTASZYNSKI Michal, RZEPKA Rafal, OYAMA Satoshi, KURIHARA Masahito, Satoshi Oyama, Hisashi Kashima, Yuko Sakuraia, Shigeo Matsubara Editors' Introduction to "Human Computation and Crowdsourcing"(<Special Issue>Human Computation and Crowdsourcing) 特集「ヒューマンコンピュテーションとクラウドソーシング」にあたって(<特集>ヒューマンコンピュテーションとクラウドソーシング) Editors' Introduction to "Human Computation and Crowdsourcing"(<Special Issue>Human Computation and Crowdsourcing) Computer Software, 29, 1, 2-3 人工知能 = journal of the Japanese Society for Artificial Intelligence, 29, 1, 2-3 Computer Software, 29, 1, 2-3 2014/01/01 Japanese Disclose to all
小山 聡, 鹿島 久嗣, 櫻井 祐子, 松原 繁夫 小山 聡, 鹿島 久嗣, 櫻井 祐子, 松原 繁夫 OS-07 ヒューマンコンピュテーションとクラウドソーシング(オーガナイズドセッション,<特集>2013年度人工知能学会全国大会(第27回)) OS-07 ヒューマンコンピュテーションとクラウドソーシング(オーガナイズドセッション,<特集>2013年度人工知能学会全国大会(第27回)) 人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence, 28, 6 人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence, 28, 6 , 28, 6 2013/11/01 Japanese Disclose to all
小山 聡, 馬場 雪乃, 櫻井 祐子, 鹿島 久嗣 小山 聡, 馬場 雪乃, 櫻井 祐子, 鹿島 久嗣 クラウドソーシングにおけるワーカーの確信度を用いた高精度なラベル統合 クラウドソーシングにおけるワーカーの確信度を用いた高精度なラベル統合 人工知能学会全国大会論文集, 2013, 0, 2M5OS07b2-2M5OS07b2 人工知能学会全国大会論文集, 2013, 0, 2M5OS07b2-2M5OS07b2 , 2013, 0, 2M5OS07b2-2M5OS07b2 2013 Japanese Disclose to all
鹿島 久嗣 鹿島 久嗣 「善い」マトリックスへの一歩?(<特集>編集委員今年の抱負2013) 「善い」マトリックスへの一歩?(<特集>編集委員今年の抱負2013) 人工知能学会誌, 28, 1 人工知能学会誌, 28, 1 , 28, 1 2013/01/01 Japanese Disclose to all
KASHIMA Hisashi, KAJINO Hiroshi 鹿島 久嗣, 梶野 洸 KASHIMA Hisashi, KAJINO Hiroshi Crowdsourcing and Machine Learning クラウドソーシングと機械学習 Crowdsourcing and Machine Learning 人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence, 27, 4, 381-388 人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence, 27, 4, 381-388 , 27, 4, 381-388 2012/07/01 Japanese Disclose to all
Kashima Hisashi, Kajino Hiroshi 鹿島 久嗣, 梶野 洸 Kashima Hisashi, Kajino Hiroshi Crowdsourcing and Machine Learning(<Special Issue>Transfer of Knowledge) クラウドソーシングと機械学習(<特集>知識の転移) Crowdsourcing and Machine Learning(<Special Issue>Transfer of Knowledge) Journal of Japanese Society for Artificial Intelligence, 27, 4, 381-388 人工知能学会誌, 27, 4, 381-388 Journal of Japanese Society for Artificial Intelligence, 27, 4, 381-388 2012/07/01 Japanese Disclose to all
AIMOTO Yoshifumi, KASHIMA Hisashi 相本 佳史, 鹿島 久嗣 AIMOTO Yoshifumi, KASHIMA Hisashi Matrix and Tensor Factorization with Aggregated Observations 上位カテゴリにおける観測データが与えられる場合の行列およびテンソル分解法(行列分解,応用,統計推理,データベース,一般) Matrix and Tensor Factorization with Aggregated Observations 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習, 111, 480, 109-116 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習, 111, 480, 109-116 , 111, 480, 109-116 2012/03/05 Japanese Disclose to all
HAYASHI Kohei, TAKENOUCHI Takashi, TOMIOKA Ryota, KASHIMA Hisashi 林 浩平, 竹之内 高志, 冨岡 亮太, 鹿島 久嗣 HAYASHI Kohei, TAKENOUCHI Takashi, TOMIOKA Ryota, KASHIMA Hisashi A Kernel-based Approach for Matrix and Tensor Completion カーネル法に基づく行列あるいはテンソル補完 A Kernel-based Approach for Matrix and Tensor Completion 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 111, 275, 71-77 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 111, 275, 71-77 , 111, 275, 71-77 2011/11/02 Japanese Disclose to all
KAJINO Hiroshi, KASHIMA Hisashi 梶野 洸, 鹿島 久嗣 KAJINO Hiroshi, KASHIMA Hisashi A Convex Formulation of Learning from Crowds クラウドソーシングを用いた教師付き学習の凸最適化による定式化 A Convex Formulation of Learning from Crowds 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 111, 275, 231-236 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 111, 275, 231-236 , 111, 275, 231-236 2011/11/02 Japanese Disclose to all
KIMURA Daisuke, KASHIMA Hisashi 木村 大翼, 鹿島 久嗣 KIMURA Daisuke, KASHIMA Hisashi A Linear Time Subpath Kernel for Trees 部分パスに基づいた線形時間木カーネル A Linear Time Subpath Kernel for Trees 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 111, 275, 291-296 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 111, 275, 291-296 , 111, 275, 291-296 2011/11/02 Japanese Disclose to all
HAYASHI Kohei, TAKENOUCHI Takashi, TOMIOKA Ryota, KASHIMA Hisashi 林 浩平, 竹之内 高志, 冨岡 亮太, 鹿島 久嗣 HAYASHI Kohei, TAKENOUCHI Takashi, TOMIOKA Ryota, KASHIMA Hisashi A Kernel-based Approach for Matrix and Tensor Completion カーネル法に基づく行列あるいはテンソル補完(ポスターセッション,第14回情報論的学習理論ワークショップ) A Kernel-based Approach for Matrix and Tensor Completion 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習, 111, 275, 71-77 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習, 111, 275, 71-77 , 111, 275, 71-77 2011/11/02 Japanese Disclose to all
KAJINO Hiroshi, KASHIMA Hisashi 梶野 洸, 鹿島 久嗣 KAJINO Hiroshi, KASHIMA Hisashi A Convex Formulation of Learning from Crowds クラウドソーシングを用いた教師付き学習の凸最適化による定式化(ポスターセッション,第14回情報論的学習理論ワークショップ) A Convex Formulation of Learning from Crowds 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習, 111, 275, 231-236 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習, 111, 275, 231-236 , 111, 275, 231-236 2011/11/02 Japanese Disclose to all
KIMURA Daisuke, KASHIMA Hisashi 木村 大翼, 鹿島 久嗣 KIMURA Daisuke, KASHIMA Hisashi A Linear Time Subpath Kernel for Trees 部分パスに基づいた線形時間木カーネル(ポスターセッション,第14回情報論的学習理論ワークショップ) A Linear Time Subpath Kernel for Trees 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習, 111, 275, 291-296 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習, 111, 275, 291-296 , 111, 275, 291-296 2011/11/02 Japanese Disclose to all
TOMIOKA Ryota, SUZUKI Taiji, HAYASHI Kohei, KASHIMA Hisashi 冨岡 亮太, 鈴木 大慈, 林 浩平, 鹿島 久嗣 TOMIOKA Ryota, SUZUKI Taiji, HAYASHI Kohei, KASHIMA Hisashi On the Convergence of Convex Tensor Estimation 凸最適化に基づくテンソル分解の統計的性能について(機械学習とその応用) On the Convergence of Convex Tensor Estimation IEICE technical report, 111, 87, 97-102 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習, 111, 87, 97-102 IEICE technical report, 111, 87, 97-102 2011/06/13 Japanese Disclose to all
NARITA Atsuhiro, HAYASHI Kohei, TOMIOKA Ryota, KASHIMA Hisashi 成田 敦博, 林 浩平, 富岡 亮太, 鹿島 久嗣 NARITA Atsuhiro, HAYASHI Kohei, TOMIOKA Ryota, KASHIMA Hisashi Tensor factorization using auxiliary information 補助情報を用いたテンソル分解(主成分分析,テキスト・Webマイニング,一般) Tensor factorization using auxiliary information IEICE technical report, 110, 476, 139-146 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習, 110, 476, 139-146 IEICE technical report, 110, 476, 139-146 2011/03/21 Japanese Disclose to all
SUWA Kyohei, TOMIOKA Ryota, YAIRI Takehisa, KASHIMA Hisashi 諏訪 恭平, 冨岡 亮太, 矢入 健久, 鹿島 久嗣 SUWA Kyohei, TOMIOKA Ryota, YAIRI Takehisa, KASHIMA Hisashi Principal component analysis for multiple information sources 複数情報源に対する主成分分析(主成分分析,テキスト・Webマイニング,一般) Principal component analysis for multiple information sources IEICE technical report, 110, 476, 147-152 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習, 110, 476, 147-152 IEICE technical report, 110, 476, 147-152 2011/03/21 Japanese Disclose to all
鹿島 久嗣 鹿島 久嗣 DK-2-5 高精度でスケーラブルな多項関係予測の実現を目指して(DK-2.JSTさきがけセッション:人と社会のための情報処理,ソサイエティ特別企画,ソサイエティ企画) DK-2-5 高精度でスケーラブルな多項関係予測の実現を目指して(DK-2.JSTさきがけセッション:人と社会のための情報処理,ソサイエティ特別企画,ソサイエティ企画) 電子情報通信学会総合大会講演論文集, 2011, 1, "SS-8"-"SS-9" 電子情報通信学会総合大会講演論文集, 2011, 1, "SS-8"-"SS-9" , 2011, 1, "SS-8"-"SS-9" 2011/02/28 Japanese Disclose to all
Kashima Hisashi 鹿島 久嗣 Kashima Hisashi DK-2-5 Toward Accurate and Scalable Multi-relational Prediction DK-2-5 高精度でスケーラブルな多項関係予測の実現を目指して(DK-2.JSTさきがけセッション:人と社会のための情報処理,ソサイエティ企画) DK-2-5 Toward Accurate and Scalable Multi-relational Prediction Proceedings of the IEICE General Conference, 2011, 2, "SS-8"-"SS-9" 電子情報通信学会総合大会講演論文集, 2011, 2, "SS-8"-"SS-9" Proceedings of the IEICE General Conference, 2011, 2, "SS-8"-"SS-9" 2011/02/28 Japanese Disclose to all
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori Statistical outlier detection using direct density ratio estimation. Statistical outlier detection using direct density ratio estimation. Statistical outlier detection using direct density ratio estimation. Knowl. Inf. Syst., 26, 2, 309-336 Knowl. Inf. Syst., 26, 2, 309-336 Knowl. Inf. Syst., 26, 2, 309-336 2011 Refereed English Disclose to all
MORIMURA Tetsuro, SUGIYAMA Masashi, KASHIMA Hisashi, HACHIYA Hirotaka, TANAKA Toshiyuki 森村 哲郎, 杉山 将, 鹿島 久嗣, 八谷 大岳, 田中 利幸 MORIMURA Tetsuro, SUGIYAMA Masashi, KASHIMA Hisashi, HACHIYA Hirotaka, TANAKA Toshiyuki Return distribution estimation with dynamic programming 動的計画法によるリターン分布推定 Return distribution estimation with dynamic programming IEICE technical report, 110, 265, 283-290 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 110, 265, 283-290 IEICE technical report, 110, 265, 283-290 2010/10/28 Japanese Disclose to all
KASHIMA Hisashi 鹿島 久嗣 KASHIMA Hisashi Mining Graphs and Networks グラフとネットワークの構造データマイニング Mining Graphs and Networks The Journal of the Institute of Electronics, Information, and Communication Engineers, 93, 9, 797-802 電子情報通信学会誌, 93, 9, 797-802 The Journal of the Institute of Electronics, Information, and Communication Engineers, 93, 9, 797-802 2010/09/01 Japanese Disclose to all
TSUBOI Yuta, MORI Shinsuke, KASHIMA Hisashi, ODA Hiroki, MATSUMOTO Yuji 坪井 祐太, 森 信介, 鹿島 久嗣, 小田 裕樹, 松本 裕治 TSUBOI Yuta, MORI Shinsuke, KASHIMA Hisashi, ODA Hiroki, MATSUMOTO Yuji Breakthrough Challenge for Practical Natural Language Processing(The Heisei 21 IPSJ Outstanding Paper Award) 現場発想による自然言語処理ブレークスルーの探求(平成21年度論文賞の受賞論文紹介) Breakthrough Challenge for Practical Natural Language Processing(The Heisei 21 IPSJ Outstanding Paper Award) IPSJ Magazine, 51, 7 情報処理, 51, 7 IPSJ Magazine, 51, 7 2010/07/15 Japanese Disclose to all
鹿島 久嗣, 山西 芳裕, 加藤 毅 鹿島 久嗣, 山西 芳裕, 加藤 毅 鹿島 久嗣, 山西 芳裕, 加藤 毅 Simultaneous inference of multiple biological networks 複数生物種ネットワークの同時予測--半教師つき学習によるアプローチ (ニューロコンピューティング) Simultaneous inference of multiple biological networks IEICE technical report, 110, 83, 111-118 電子情報通信学会技術研究報告, 110, 83, 111-118 IEICE technical report, 110, 83, 111-118 2010/06/18 Japanese Disclose to all
KASHIMA HISASHI, YAMANISHI YOSHIHIRO, KATO TSUYOSHI, SUGIYAMA MASASHI, TSUDA KOJI 鹿島 久嗣, 山西 芳裕, 加藤 毅, 杉山 将, 津田 宏治 KASHIMA HISASHI, YAMANISHI YOSHIHIRO, KATO TSUYOSHI, SUGIYAMA MASASHI, TSUDA KOJI Simultaneous Inference of Multiple Biological Networks 複数生物種ネットワークの同時予測 : 半教師つき学習によるアプローチ Simultaneous Inference of Multiple Biological Networks IPSJ SIG technical reports, 21, 19, E1-E8 情報処理学会研究報告. BIO, バイオ情報学 = IPSJ SIG technical reports, 21, 19, E1-E8 IPSJ SIG technical reports, 21, 19, E1-E8 2010/06/18 Japanese Disclose to all
加藤 毅, 鹿島 久嗣, 杉山 将, 浅井 潔 加藤 毅, 鹿島 久嗣, 杉山 将, 浅井 潔 An SOCP Formulation for Multi-Task Learning 二次錘計画法による多タスク学習算法 (数理モデル化と問題解決(MPS) Vol.2009-MPS-77) An SOCP Formulation for Multi-Task Learning 情報処理学会研究報告, 2009, 6, 1-6 情報処理学会研究報告, 2009, 6, 1-6 , 2009, 6, 1-6 2010/04 Japanese Disclose to all
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai 加藤 毅, 鹿島 久嗣, 杉山 将, 浅井 潔 Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai An SOCP Formulation for Multi-Task Learning 二次錘計画法による多タスク学習算法 An SOCP Formulation for Multi-Task Learning IPSJ SIG Notes, 2010, 8, 1-6 情報処理学会研究報告. MPS, 数理モデル化と問題解決研究報告, 2010, 8, 1-6 IPSJ SIG Notes, 2010, 8, 1-6 2010/02/25 Japanese Disclose to all
Kashima Hisashi 鹿島 久嗣 Kashima Hisashi Kernel Multivariate Analysis: New Trends in Nonlinear Data Analysis 赤穂昭太郎, カーネル多変量解析-非線形データ解析の新しい展開-, 岩波書店, 2008年 Kernel Multivariate Analysis: New Trends in Nonlinear Data Analysis 応用数理, 19, 3, 209-210 応用数理, 19, 3, 209-210 , 19, 3, 209-210 2009/09/25 Japanese Disclose to all
鹿島久嗣, 加藤毅, 山西芳裕, 杉山将, 津田宏治 鹿島久嗣, 加藤毅, 山西芳裕, 杉山将, 津田宏治 鹿島久嗣, 加藤毅, 山西芳裕, 杉山将, 津田宏治 Link Propagation: A Semi-supervised Approach to Link Prediction リンク伝播法:リンク予測のための半教師付き学習法 Link Propagation: A Semi-supervised Approach to Link Prediction 人工知能学会人工知能基本問題研究会資料, 73rd, 19-24 人工知能学会人工知能基本問題研究会資料, 73rd, 19-24 人工知能学会人工知能基本問題研究会資料, 73rd, 19-24 2009/03/06 Japanese Disclose to all
KATO TSUYOSHI, KASHIMA HISASHI, SUGIYAMA MASASHI 加藤 毅, 鹿島 久嗣, 杉山 将 KATO TSUYOSHI, KASHIMA HISASHI, SUGIYAMA MASASHI Protein function prediction by integration of heterogeneous biological networks 異種ネットワーク統合によるタンパク質機能予測 Protein function prediction by integration of heterogeneous biological networks IPSJ SIG technical reports, 14, 47-50 情報処理学会研究報告. BIO, バイオ情報学 = IPSJ SIG technical reports, 14, 47-50 IPSJ SIG technical reports, 14, 47-50 2008/09/11 Japanese Disclose to all
Kuboyama Tetsuji, Hirata Kouichi, Kashima Hisashi, Aoki-Kinoshita Kiyoko F, Yasuda Hiroshi Kuboyama Tetsuji, Hirata Kouichi, Kashima Hisashi, Aoki-Kinoshita Kiyoko F, Yasuda Hiroshi A Spectrum Tree Kernel A Spectrum Tree Kernel A Spectrum Tree Kernel IMT, 2, 1, 292-299 Information and Media Technologies, 2, 1, 292-299 IMT, 2, 1, 292-299 2007 Disclose to all
Kuboyama Tetsuji, Hirata Koichi, Kashima Hisashi Kuboyama Tetsuji, Hirata Koichi, Kashima Hisashi Kuboyama Tetsuji, Hirata Koichi, Kashima Hisashi The Gram Distribution Kernel: A Tree Kernel for Glycan Classification (テーマ:特集「ウェブデータの知的処理」および一般) The Gram Distribution Kernel: A Tree Kernel for Glycan Classification (テーマ:特集「ウェブデータの知的処理」および一般) The Gram Distribution Kernel: A Tree Kernel for Glycan Classification (テーマ:特集「ウェブデータの知的処理」および一般) 人工知能基本問題研究会, 63, 71-76 人工知能基本問題研究会, 63, 71-76 人工知能基本問題研究会, 63, 71-76 2006/09/08 English Disclose to all

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Author Author(Japanese) Author(English) Title Title(Japanese) Title(English) Publisher Publisher(Japanese) Publisher(English) Publication date Language Type Disclose
鹿島 久嗣, 小山 聡, 馬場 雪乃 鹿島 久嗣, 小山 聡, 馬場 雪乃 ヒューマンコンピュテーションとクラウドソーシング (機械学習プロフェッショナルシリーズ) ヒューマンコンピュテーションとクラウドソーシング (機械学習プロフェッショナルシリーズ) 講談社 講談社 2016/04/20 Joint Work Disclose to all
鹿島久嗣, 小山聡, 馬場雪乃 鹿島久嗣, 小山聡, 馬場雪乃 ヒューマンコンピュテーションとクラウドソーシング (機械学習プロフェッショナルシリーズ) ヒューマンコンピュテーションとクラウドソーシング (機械学習プロフェッショナルシリーズ) 講談社 講談社 2016/04/19 Joint Work Disclose to all
鹿島, 久嗣, 小山, 聡, 馬場, 雪乃 鹿島, 久嗣, 小山, 聡, 馬場, 雪乃 ヒューマンコンピュテーションとクラウドソーシング = Human computation and crowdsourcing ヒューマンコンピュテーションとクラウドソーシング = Human computation and crowdsourcing 講談社 講談社 2016/04 Japanese Disclose to all
嶋田茂, 首都大学東京, 伊藤大雄, 坂本 比呂志, 當仲寛哲, ユニバーサルシェルプログラミング研究, 鷲尾隆, 上田修功, 杉山将, 鹿島久嗣, 鈴木大慈, 河原大輔, 黒橋禎夫, 関根聡, 西尾信彦, 稲越宏弥, ほか 嶋田茂, 首都大学東京, 伊藤大雄, 坂本 比呂志, 當仲寛哲, ユニバーサルシェルプログラミング研究, 鷲尾隆, 上田修功, 杉山将, 鹿島久嗣, 鈴木大慈, 河原大輔, 黒橋禎夫, 関根聡, 西尾信彦, 稲越宏弥, ほか ビッグデータ・マネジメント―データサイエンティストのためのデータ利活用技術と事例 ビッグデータ・マネジメント―データサイエンティストのためのデータ利活用技術と事例 エヌティーエス エヌティーエス 2014/03/10 Disclose to all
山名 早人, 山名 早人, 石川 隼輔, 堀井 洋, 村上 明子, 鹿島 久嗣, 小柳 光生 山名 早人, 山名 早人, 石川 隼輔, 堀井 洋, 村上 明子, 鹿島 久嗣, 小柳 光生 Google Hacks 第3版 ―プロが使うテクニック & ツール 100選 Google Hacks 第3版 ―プロが使うテクニック & ツール 100選 オライリー・ジャパン オライリー・ジャパン 2007/04/24 Joint Translation Disclose to all
Dornfest, Rael, Bausch, Paul, Calishain, Tara, 山名, 早人, 石川, 隼輔, 堀井, 洋, 村上, 明子, 鹿島, 久嗣, 小柳, 光生 Dornfest, Rael, Bausch, Paul, Calishain, Tara, 山名, 早人, 石川, 隼輔, 堀井, 洋, 村上, 明子, 鹿島, 久嗣, 小柳, 光生 Google Hacks : プロが使うテクニック&ツール100選 Google Hacks : プロが使うテクニック&ツール100選 オライリー・ジャパン,オーム社 (発売) オライリー・ジャパン,オーム社 (発売) 2007/04 Japanese Disclose to all
Calishain, Tara, Dornfest, Rael, 石川, 隼輔, 堀井, 洋, 村上, 明子, 鹿島, 久嗣, 小柳, 光生, 山名, 早人 Calishain, Tara, Dornfest, Rael, 石川, 隼輔, 堀井, 洋, 村上, 明子, 鹿島, 久嗣, 小柳, 光生, 山名, 早人 Google hacks : プロが使うテクニック&ツール100選 Google hacks : プロが使うテクニック&ツール100選 オライリー・ジャパン,オーム社 (発売) オライリー・ジャパン,オーム社 (発売) 2005/08 Japanese Joint Work Disclose to all
Title language:
Industrial Property Rights (Patent)
Inventor(s) Inventor(s) (Japanese) Inventor(s) (English) Title Title(Japanese) Title(English) Stage Patent number Date Disclose
氏家 良浩, 芳賀 智之, 前田 学, 松島 秀樹, 岸川 剛, 鶴見 淳一, 鹿島 久嗣, 鳥海 雪乃, 桑原 拓也 氏家 良浩, 芳賀 智之, 前田 学, 松島 秀樹, 岸川 剛, 鶴見 淳一, 鹿島 久嗣, 鳥海 雪乃, 桑原 拓也 異常検知方法、異常検知装置及び異常検知システム 異常検知方法、異常検知装置及び異常検知システム 特許公開 特開2017-126978 2017/07/20 Disclose to all
比戸 将平, 鹿島 久嗣 比戸 将平, 鹿島 久嗣 グラフの類似度計算システム、方法及びプログラム グラフの類似度計算システム、方法及びプログラム 特許登録 特許第5306461号 2013/07/05 Disclose to all
ルディ・レイモンド・ハリー・プテラ, 鹿島 久嗣 ルディ・レイモンド・ハリー・プテラ, 鹿島 久嗣 リンク予測システム、方法及びプログラム リンク予測システム、方法及びプログラム 特許登録 特許第5225183号 2013/03/22 Disclose to all
柳▼澤 弘揮, 鹿島 久嗣, 田島 玲 柳▼澤 弘揮, 鹿島 久嗣, 田島 玲 新規顧客候補の評価作業を支援するための装置、方法及びプログラム 新規顧客候補の評価作業を支援するための装置、方法及びプログラム 特許登録 特許第5220582号 2013/03/15 Disclose to all
鹿島 久嗣, 比戸 将平, 田島 玲 鹿島 久嗣, 比戸 将平, 田島 玲 作業評価値予測方法、プログラム及びシステム 作業評価値予測方法、プログラム及びシステム 特許登録 特許第5198981号 2013/02/15 Disclose to all
比戸 将平, 井手 剛, 鹿島 久嗣, 久保 晴信, 松澤 裕史 比戸 将平, 井手 剛, 鹿島 久嗣, 久保 晴信, 松澤 裕史 変化分析システム、方法及びプログラム 変化分析システム、方法及びプログラム 特許登録 特許第5159368号 2012/12/21 Disclose to all
比戸 将平, 鹿島 久嗣 比戸 将平, 鹿島 久嗣 グラフの類似度計算システム、方法及びプログラム グラフの類似度計算システム、方法及びプログラム 特許公開 WO2011-001806 2011/01/06 Disclose to all
ルディ・レイモンド・ハリー・プテラ, 鹿島 久嗣 ルディ・レイモンド・ハリー・プテラ, 鹿島 久嗣 リンク予測システム、方法及びプログラム リンク予測システム、方法及びプログラム 特許公開 特開2010-250377 2010/11/04 Disclose to all
柳▼澤 弘揮, 鹿島 久嗣, 田島 玲 柳▼澤 弘揮, 鹿島 久嗣, 田島 玲 新規顧客候補の評価作業を支援するための装置、方法及びプログラム 新規顧客候補の評価作業を支援するための装置、方法及びプログラム 特許公開 特開2010-152568 2010/07/08 Disclose to all
鹿島 久嗣, 比戸 将平, 田島 玲 鹿島 久嗣, 比戸 将平, 田島 玲 作業評価値予測方法、プログラム及びシステム 作業評価値予測方法、プログラム及びシステム 特許公開 特開2010-061323 2010/03/18 Disclose to all
Title language:
External funds: competitive funds and Grants-in-Aid for Scientific Research (Kakenhi)
Type Position Title(Japanese) Title(English) Period
新学術領域研究(研究領域提案型) Representative 機械学習に基づく材料探索技術の開発 (平成26年度分) 2014/04/01-2015/03/31
若手研究(A) Representative グラフ構造データの予測的分析のための機械学習手法の研究 (平成26年度分) 2014/04/01-2015/03/31
基盤研究(A) Representative ビッグデータ時代の複雑構造データを扱う機械学習法の研究 (平成27年度分) 2015/04/01-2016/03/31
新学術領域研究(研究領域提案型) Representative 機械学習に基づく材料探索技術の開発 (平成27年度分) 2015/04/01-2016/03/31
基盤研究(A) Representative ビッグデータ時代の複雑構造データを扱う機械学習法の研究 (平成28年度分) 2016/04/01-2017/03/31
基盤研究(A) Representative ビッグデータ時代の複雑構造データを扱う機械学習法の研究 (平成28年度分) 2016/04/01-2017/03/31
基盤研究(A) Representative ビッグデータ時代の複雑構造データを扱う機械学習法の研究 (平成29年度分) 2017/04/01-2018/03/31
基盤研究(A) Representative ビッグデータ時代の複雑構造データを扱う機械学習法の研究 (平成29年度分) 2017/04/01-2018/03/31
政策科学総合研究事業(臨床研究等ICT基盤構築・人工知能実装研究事業) Assignment (平成30年度分) 2018/04/01-2019/03/31
基盤研究(A) Representative ビッグデータ時代の複雑構造データを扱う機械学習法の研究 (平成30年度分) 2018/04/01-2019/03/31
基盤研究(A) Representative ビッグデータ時代の複雑構造データを扱う機械学習法の研究 (2019年度分) 2019/04/01-2020/03/31
基盤研究(B) Representative 複雑な関係データに基づく意思決定のための機械学習研究 (2020年度分) 2020/04/01-2021/03/31

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Teaching subject(s)
Name(Japanese) Name(English) Term Department Period
Advanced Study in IST I Advanced Study in Intelligence Science and Technology I 通年 情報学研究科 2015/04-2016/03
Advanced Study in IST II Advanced Study in Intelligence Science and Technology II 通年 情報学研究科 2015/04-2016/03
Statistical Learning Theory Statistical Learning Theory 後期 情報学研究科 2015/04-2016/03
情報・史料学(特殊講義) Humanistic Informatics (Special Lectures) 後期 文学研究科 2015/04-2016/03
情報・史料学(特殊講義) Humanistic Informatics (Special Lectures) 後期 文学部 2015/04-2016/03
情報科学基礎論 Introduction to Information Science 前期 情報学研究科 2015/04-2016/03
情報と職業 Information and Business 前期 工学部 2015/04-2016/03
アルゴリズムとデータ構造入門 Introduction to Algorithms and Data Structures 後期 工学部 2015/04-2016/03
特別研究1 Graduation Thesis 1 前期集中 工学部 2015/04-2016/03
特別研究1 Graduation Thesis 1 後期集中 工学部 2015/04-2016/03
特別研究2 Graduation Thesis 2 前期集中 工学部 2015/04-2016/03
特別研究2 Graduation Thesis 2 後期集中 工学部 2015/04-2016/03
知能情報学特別セミナー Advanced Seminar on Intelligence Science and Technology 通年 情報学研究科 2015/04-2016/03
知能情報学特殊研究2 Advanced Study in Intelligence Science and Technology II 通年 情報学研究科 2015/04-2016/03
知能情報学特殊研究 I Advanced Study in Intelligence Science and Technology I 通年 情報学研究科 2015/04-2016/03
知能情報ソフトウェア特別セミナー Advanced Seminar on Foundation of Software Science 後期 情報学研究科 2015/04-2016/03
統計入門 Introductory Statistics 前期 全学共通科目 2015/04-2016/03
統計的学習理論 Statistical Learning Theory 後期 工学研究科 2015/04-2016/03
Advanced Study in IST I Advanced Study in Intelligence Science and Technology I 通年 情報学研究科 2016/04-2017/03
Advanced Study in IST II Advanced Study in Intelligence Science and Technology II 通年 情報学研究科 2016/04-2017/03
Statistical Learning Theory Statistical Learning Theory 前期 情報学研究科 2016/04-2017/03
情報・史料学(特殊講義) Humanistic Informatics (Special Lectures) 後期 文学研究科 2016/04-2017/03
情報・史料学(特殊講義) Humanistic Informatics (Special Lectures) 後期 文学部 2016/04-2017/03
情報科学基礎論 Introduction to Information Science 前期 情報学研究科 2016/04-2017/03
アルゴリズムとデータ構造入門 Introduction to Algorithms and Data Structures 後期 工学部 2016/04-2017/03
知能情報学特別セミナー Advanced Seminar on Intelligence Science and Technology 通年 情報学研究科 2016/04-2017/03
知能情報学特殊研究2 Advanced Study in Intelligence Science and Technology II 通年 情報学研究科 2016/04-2017/03
知能情報学特殊研究 I Advanced Study in Intelligence Science and Technology I 通年 情報学研究科 2016/04-2017/03
知能情報ソフトウェア特別セミナー Advanced Seminar on Foundation of Software Science 後期 情報学研究科 2016/04-2017/03
統計入門 Introductory Statistics 後期 全学共通科目 2016/04-2017/03
統計的学習理論 Statistical Learning Theory 前期 工学研究科 2016/04-2017/03
Advanced Study in IST I Advanced Study in Intelligence Science and Technology I 通年 情報学研究科 2017/04-2018/03
Advanced Study in IST II Advanced Study in Intelligence Science and Technology II 通年 情報学研究科 2017/04-2018/03
Statistical Learning Theory Statistical Learning Theory 前期 情報学研究科 2017/04-2018/03
情報・史料学(特殊講義) Humanistic Informatics (Special Lectures) 後期 文学研究科 2017/04-2018/03
情報・史料学(特殊講義) Humanistic Informatics (Special Lectures) 後期 文学部 2017/04-2018/03
情報科学基礎論 Introduction to Information Science 前期 情報学研究科 2017/04-2018/03
アルゴリズムとデータ構造入門 Introduction to Algorithms and Data Structures 後期 工学部 2017/04-2018/03
知能情報学特別セミナー Advanced Seminar on Intelligence Science and Technology 通年 情報学研究科 2017/04-2018/03
知能情報学特殊研究2 Advanced Study in Intelligence Science and Technology II 通年 情報学研究科 2017/04-2018/03
知能情報学特殊研究1 Advanced Study in Intelligence Science and Technology I 通年 情報学研究科 2017/04-2018/03
知能情報ソフトウェア特別セミナー Advanced Seminar on Foundation of Software Science 後期 情報学研究科 2017/04-2018/03
統計入門 Introductory Statistics 後期 全学共通科目 2017/04-2018/03
統計的モデリング基礎 Foundations of Statistical Modeling 前期 工学部 2017/04-2018/03
統計的学習理論 Statistical Learning Theory 前期 工学研究科 2017/04-2018/03
Statistical Learning Theory Statistical Learning Theory 前期 全学共通科目 2018/04-2019/03
Statistical Learning Theory Statistical Learning Theory 前期 情報学研究科 2018/04-2019/03
情報科学基礎論 Introduction to Information Science 前期 全学共通科目 2018/04-2019/03
情報科学基礎論 Introduction to Information Science 前期 情報学研究科 2018/04-2019/03
メディア文化学(特殊講義) Media and Culture Studies (Special Lectures) 後期 文学研究科 2018/04-2019/03
メディア文化学(特殊講義) Media and Culture Studies (Special Lectures) 後期 文学部 2018/04-2019/03
アルゴリズムとデータ構造入門 Introduction to Algorithms and Data Structures 後期 工学部 2018/04-2019/03
統計的モデリング基礎 Foundations of Statistical Modeling 前期 工学部 2018/04-2019/03
統計的学習理論 Statistical Learning Theory 前期 工学研究科 2018/04-2019/03
続・統計入門 Second Course in Statistics 後期 全学共通科目 2018/04-2019/03
Statistical Learning Theory Statistical Learning Theory 前期 全学共通科目 2019/04-2020/03
情報科学基礎論 Introduction to Information Science 前期 全学共通科目 2019/04-2020/03
情報科学基礎論 Introduction to Information Science 前期 情報学研究科 2019/04-2020/03
アルゴリズムとデータ構造入門 Introduction to Algorithms and Data Structures 後期 工学部 2019/04-2020/03
統計的モデリング基礎 Foundations of Statistical Modeling 前期 工学部 2019/04-2020/03
統計的学習理論 Statistical Learning Theory 前期 工学研究科 2019/04-2020/03
統計的学習理論 Statistical Learning Theory 前期 情報学研究科 2019/04-2020/03
続・統計入門 Second Course in Statistics 後期 全学共通科目 2019/04-2020/03
Statistical Learning Theory Statistical Learning Theory 前期 全学共通科目 2020/04-2021/03
情報科学基礎論 Introduction to Information Science 前期 全学共通科目 2020/04-2021/03
情報科学基礎論 Introduction to Information Science 前期 情報学研究科 2020/04-2021/03
アルゴリズムとデータ構造入門 Introduction to Algorithms and Data Structures 後期 工学部 2020/04-2021/03
統計と人工知能 Statistics and Artificial Intelligence 前期 全学共通科目 2020/04-2021/03
統計と人工知能 Statistics and Artificial Intelligence 後期 全学共通科目 2020/04-2021/03
統計的モデリング基礎 Foundations of Statistical Modeling 前期 工学部 2020/04-2021/03
統計的学習理論 Statistical Learning Theory 前期 工学研究科 2020/04-2021/03
統計的学習理論 Statistical Learning Theory 前期 情報学研究科 2020/04-2021/03
Seminar on IST III Seminar on Intelligence Science and Technology III 後期 情報学研究科 2021/04-2022/03
Seminar on IST II Seminar on Intelligence Science and Technology II 前期 情報学研究科 2021/04-2022/03
Seminar on IST I Seminar on Intelligence Science and Technology I 前期 情報学研究科 2021/04-2022/03
Seminar on IST IV Seminar on Intelligence Science and Technology IV 後期 情報学研究科 2021/04-2022/03
Statistical Learning Theory Statistical Learning Theory 前期 全学共通科目 2021/04-2022/03
情報科学基礎論 Introduction to Information Science 前期 全学共通科目 2021/04-2022/03
情報科学基礎論 Introduction to Information Science 前期 情報学研究科 2021/04-2022/03
アルゴリズムとデータ構造入門 Introduction to Algorithms and Data Structures 後期 工学部 2021/04-2022/03
知能情報学セミナー III Seminar on Intelligence Science and Technology III 後期 情報学研究科 2021/04-2022/03
知能情報学セミナー II Seminar on Intelligence Science and Technology II 前期 情報学研究科 2021/04-2022/03
知能情報学セミナー I Seminar on Intelligence Science and Technology I 前期 情報学研究科 2021/04-2022/03
知能情報学セミナー IV Seminar on Intelligence Science and Technology IV 後期 情報学研究科 2021/04-2022/03
統計と人工知能 Statistics and Artificial Intelligence 前期 全学共通科目 2021/04-2022/03
統計と人工知能 Statistics and Artificial Intelligence 後期 全学共通科目 2021/04-2022/03
統計的モデリング基礎 Foundations of Statistical Modeling 前期 工学部 2021/04-2022/03
統計的学習理論 Statistical Learning Theory 前期 工学研究科 2021/04-2022/03
統計的学習理論 Statistical Learning Theory 前期 情報学研究科 2021/04-2022/03

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School management (title, position)
Title Period
学生生活委員会 委員 2016/06/01-2018/07/01
学生生活委員会第三小委員会 委員 2016/06/01-2018/07/01
国際高等教育院 企画評価専門委員会 データ科学部会 委員 2017/05/01-2019/03/31
国際高等教育院 企画評価専門委員会 統計教育特別部会 委員 2016/05/01-2017/04/30
国際高等教育院 企画評価専門委員会 統計特別部会 委員 2015/06/01-2016/04/30
国際高等教育院 基盤企画評価専門委員会 データ科学部会 委員 2017/05/01-2019/03/31
国際高等教育院 基盤企画評価専門委員会 データ科学部会 委員 2019/04/01-2020/03/31
国際高等教育院 企画評価専門委員会 データ科学部会 委員 2019/04/01-2020/03/31
国際高等教育院 基盤企画評価専門委員会 データ科学部会 委員 2020/04/01-2021/03/31
国際高等教育院 企画評価専門委員会 データ科学部会 委員 2020/04/01-2021/03/31
国際高等教育院 基盤企画評価専門委員会 データ科学部会 委員 2021/04/01-2022/03/31
国際高等教育院 企画評価専門委員会 データ科学部会 委員 2021/04/01-2022/03/31

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Faculty management (title, position)
Title Period
評価・広報委員会委員 2014/04/01-2015/03/31
連携推進WG委員 2015/04/01-2017/03/31
企画委員会副委員長 2015/04/01-2017/03/31
工学研究科・工学部広報委員会 委員 2016/04/01-2018/03/31
専攻長会議 2017/04/01-2018/03/31
制規委員会 2017/04/01-2018/03/31
情報セキュリティ委員会委員 2017/04/01-2018/03/31
情報セキュリティ委員会委員 2018/04/01-2019/03/31
専攻長 2018/04/01-2019/03/31
制規委員会委員 2018/04/01-2019/03/31
連携推進WG 2018/04/01-2019/03/31
基盤整備委員会委員 2019/04/01-2020/03/31
計算機小委員会委員長 2019/04/01-2020/03/31
基盤整備委員会委員長 2020/04/01-2021/03/31
工学部教育制度委員会委員 2020/04/01-2021/03/31
財務委員会委員長 2021/04/01-2022/03/31
工学研究科・工学部広報委員会委員 2021/04/01-2022/03/31

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