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 Schools 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
Baba Y, Isomura T, Kashima H Baba Y, Isomura T, Kashima H Baba Y, Isomura T, Kashima H 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 & modelling, 80, 217-223 Journal of molecular graphics & modelling, 80, 217-223 Journal of molecular graphics & modelling, 80, 217-223 2018/03 Refereed 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
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 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. JIP, 26, 306-313 JIP, 26, 306-313 JIP, 26, 306-313 2018 Refereed 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 Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018 Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018 2018 Refereed 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 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), Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), 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
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) 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
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 Proceeding of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 238-250 Proceeding of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 238-250 Proceeding of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 238-250 2017 Refereed English 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. Proceedings of the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 840-852 Proceedings of the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 840-852 Proceedings of the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 840-852 2017 Refereed English 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
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
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
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. 2nd International Workshop on coMics Analysis, Processing, and Understanding, 14th IAPR International Conference on Document Analysis and Recognition, ICDAR 2017, Kyoto, Japan, November 9-15, 2017, 21-26 2nd International Workshop on coMics Analysis, Processing, and Understanding, 14th IAPR International Conference on Document Analysis and Recognition, ICDAR 2017, Kyoto, Japan, November 9-15, 2017, 21-26 2nd International Workshop on coMics Analysis, Processing, and Understanding, 14th IAPR International Conference on Document Analysis and Recognition, ICDAR 2017, Kyoto, Japan, November 9-15, 2017, 21-26 2017 Refereed 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. 2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017, 1105-1110 2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017, 1105-1110 2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017, 1105-1110 2017 Refereed 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. Web Information Systems Engineering - WISE 2017 - 18th International Conference, Puschino, Russia, October 7-11, 2017, Proceedings, Part II, 46-54 Web Information Systems Engineering - WISE 2017 - 18th International Conference, Puschino, Russia, October 7-11, 2017, Proceedings, Part II, 46-54 Web Information Systems Engineering - WISE 2017 - 18th International Conference, Puschino, Russia, October 7-11, 2017, Proceedings, Part II, 46-54 2017 Refereed 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 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. Journal of Information Processing, 25, 477-485 Journal of Information Processing, 25, 477-485 Journal of Information Processing, 25, 477-485 2017 Refereed English Research paper(scientific journal) 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
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
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 Proceeding of the 26th ACM International Conference on Information and Knowledge Management (CIKM), 1069-1078 Proceeding of the 26th ACM International Conference on Information and Knowledge Management (CIKM), 1069-1078 Proceeding of the 26th ACM International Conference on Information and Knowledge Management (CIKM), 1069-1078 2017 Refereed English Research paper(international conference proceedings) Disclose to all
Hirotaka Akita, Yukino Baba, Hisashi Kashima and Atsuto Seko Hirotaka Akita, Yukino Baba, Hisashi Kashima and Atsuto Seko Hirotaka Akita, Yukino Baba, Hisashi Kashima and Atsuto Seko Atomic Distance Kernel for Material Property Prediction. Atomic Distance Kernel for Material Property Prediction. Atomic Distance Kernel for Material Property Prediction. Proceeding of the 24th International Conference on Neural Information Processing (ICONIP), 526-533 Proceeding of the 24th International Conference on Neural Information Processing (ICONIP), 526-533 Proceeding of the 24th International Conference on Neural Information Processing (ICONIP), 526-533 2017 Refereed English Research paper(international conference proceedings) Disclose to all
Kosuke Yoshimura, Yukino Baba and Hisashi Kashima Kosuke Yoshimura, Yukino Baba and Hisashi Kashima Kosuke Yoshimura, Yukino Baba and 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. Proceeding of the 24th International Conference on Neural Information Processing (ICONIP), 31, 2, 64-73 Proceeding of the 24th International Conference on Neural Information Processing (ICONIP), 31, 2, 64-73 Proceeding of the 24th International Conference on Neural Information Processing (ICONIP), 31, 2, 64-73 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 Proceeding of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 657-672 Proceeding of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 657-672 Proceeding of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 657-672 2017 Refereed English Research paper(international conference proceedings) 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 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 Journal of Japanese Society of Artificial Intelligence, 31, 2 人工知能学会論文誌, 31, 2 Journal of Japanese Society of Artificial Intelligence, 31, 2 2016 Refereed 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 Classication Using Hierarchical Class Structures Quality Control of Crowdsourced Classication Using Hierarchical Class Structures Quality Control of Crowdsourced Classication 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 Refereed English 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 International Journal of Data Science and Analytics, 2, 1-2, 45-60 International Journal of Data Science and Analytics, 2, 1-2, 45-60 International Journal of Data Science and Analytics, 2, 1-2, 45-60 2016 Refereed 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 Systems With Applications, 43, 174-183 Expert Systems With Applications, 43, 174-183 Expert Systems With Applications, 43, 174-183 2016 Refereed Disclose to all
Array,Yukino Baba,Hisashi Kashima Array,Yukino Baba,Hisashi Kashima Array,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 Disclose to all
Yokoi Sho, Kajino Hiroshi, Kashima Hisashi Yokoi Sho, Kajino Hiroshi, Kashima Hisashi Yokoi Sho, Kajino Hiroshi, Kashima Hisashi 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 Disclose to all
Morino K, Hirata Y, Tomioka R, Kashima H, Yamanishi K, Hayashi N, Egawa S, Aihara K Morino K, Hirata Y, Tomioka R, Kashima H, Yamanishi K, Hayashi N, Egawa S, Aihara K Morino K, Hirata Y, Tomioka R, Kashima H, Yamanishi K, Hayashi N, Egawa S, Aihara K 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 Disclose to all
Nohara Y, Kai E, Ghosh PP, Islam R, Ahmed A, Kuroda M, Inoue S, Hiramatsu T, Kimura M, Shimizu S, Kobayashi K, Baba Y, Kashima H, Tsuda K, Sugiyama M, Blondel M, Ueda N, Kitsuregawa M, Nakashima N Nohara Y, Kai E, Ghosh PP, Islam R, Ahmed A, Kuroda M, Inoue S, Hiramatsu T, Kimura M, Shimizu S, Kobayashi K, Baba Y, Kashima H, Tsuda K, Sugiyama M, Blondel M, Ueda N, Kitsuregawa M, Nakashima N Nohara Y, Kai E, Ghosh PP, Islam R, Ahmed A, Kuroda M, Inoue S, Hiramatsu T, Kimura M, Shimizu S, Kobayashi K, Baba Y, Kashima H, Tsuda K, Sugiyama M, Blondel M, Ueda N, Kitsuregawa M, Nakashima N 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 Refereed Disclose to all
Nozomi Nori, Danushka Bollegara, Hisashi Kashima 則 のぞみ, ボレガラ ダヌシカ, 鹿島 久嗣 Nozomi Nori, Danushka Bollegara, 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 Journal of Japanese Society of Artificial Intelligence, 30, 2, 459-465 人工知能学会論文誌, 30, 2, 459-465 Journal of Japanese Society of Artificial Intelligence, 30, 2, 459-465 2015 Refereed Disclose to all
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 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 2014/09 Refereed 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 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. The 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC '14, Siem Reap, Cambodia - January 09 - 11, 2014, 103 The 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC '14, Siem Reap, Cambodia - January 09 - 11, 2014, 103 The 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC '14, Siem Reap, Cambodia - January 09 - 11, 2014, 103 2014 Refereed 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. Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II, 336-347 Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II, 336-347 Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II, 336-347 2014 Refereed Disclose to all
Nozomi Nori, Danushka Bollegara, Hisashi Kashima 則 のぞみ, ボレガラ ダヌシカ, 鹿島 久嗣 Nozomi Nori, Danushka Bollegara, 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 Journal of Japanese Society of Artificial Intelligenc, 29, 1, 168-176 人工知能学会論文誌, 29, 1, 168-176 Journal of Japanese Society of Artificial Intelligenc, 29, 1, 168-176 2014 Refereed 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 Transactions, 96-D, 8, 1766-1773 IEICE Transactions, 96-D, 8, 1766-1773 IEICE Transactions, 96-D, 8, 1766-1773 2013 Refereed Disclose to all
Xu Sun,Hisashi Kashima,Naonori Ueda Xu Sun,Hisashi Kashima,Naonori Ueda Xu Sun,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 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 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. 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 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 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 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 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 IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013 IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013 2013 Refereed 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 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 Journal of Japanese Society of Artificial Intelligence, 28, 3, 243-248 人工知能学会論文誌, 28, 3, 243-248 Journal of Japanese Society of Artificial Intelligence, 28, 3, 243-248 2013 Refereed 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. Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II, 521-532 Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II, 521-532 Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II, 521-532 2013 Refereed 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 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 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 Transactions, 95-D, 11, 2664-2673 IEICE Transactions, 95-D, 11, 2664-2673 IEICE Transactions, 95-D, 11, 2664-2673 2012 Refereed 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 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 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 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 Disclose to all
Kajino Hiroshi, Kashima Hisashi 梶野 洸, 鹿島 久嗣 Kajino Hiroshi, Kashima Hisashi 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 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, ICDM Workshops, Brussels, Belgium, December 10, 2012, 587-594 12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012, 587-594 12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012, 587-594 2012 Refereed Disclose to all
Kimura Daisuke, Kuboyama Tetsuji, Shibuya Tetsuo, Kashima Hisashi 木村 大翼, 久保山 哲二, 渋谷 哲朗, 鹿島 久嗣 Kimura Daisuke, Kuboyama Tetsuji, Shibuya Tetsuo, Kashima Hisashi 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 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 Disclose to all
Kashima Hisashi, Oyama Satoshi, Yamanishi Yoshihiro, Tsuda Koji Kashima Hisashi, Oyama Satoshi, Yamanishi Yoshihiro, Tsuda Koji Kashima Hisashi, Oyama Satoshi, Yamanishi Yoshihiro, Tsuda Koji 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 Transaction on Information and Systems, E93D, 10, 2672-2679 IEICE Transaction on Information and Systems, E93D, 10, 2672-2679 IEICE Transaction on Information and Systems, E93D, 10, 2672-2679 2010/10 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
Ozawa Y, Saito R, Fujimori S, Kashima H, Ishizaka M, Yanagawa H, Miyamoto-Sato E, Tomita M Ozawa Y, Saito R, Fujimori S, Kashima H, Ishizaka M, Yanagawa H, Miyamoto-Sato E, Tomita M Ozawa Y, Saito R, Fujimori S, Kashima H, Ishizaka M, Yanagawa H, Miyamoto-Sato E, Tomita M 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 bioinformatics, 11, 350 BMC bioinformatics, 11, 350 BMC bioinformatics, 11, 350 2010/06 Refereed Disclose to all
Saigo H, Hattori M, Kashima H, Tsuda K Saigo H, Hattori M, Kashima H, Tsuda K Saigo H, Hattori M, Kashima H, Tsuda K 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 bioinformatics, 11, S31 BMC bioinformatics, 11, S31 BMC bioinformatics, 11, S31 2010/01 Refereed 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 International Journal of Knowledge Discovery in Bioinformatics, 1, 1, 66-80 International Journal of Knowledge Discovery in Bioinformatics, 1, 1, 66-80 International Journal of Knowledge Discovery in Bioinformatics, 1, 1, 66-80 2010 Refereed 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 Multi-task Learning Conic Programming for Multi-task Learning Conic Programming for Multi-task Learning IEEE Transactions on Knowledge and Data Engineering, 12, 7, 957-968 IEEE Transactions on Knowledge and Data Engineering, 12, 7, 957-968 IEEE Transactions on Knowledge and Data Engineering, 12, 7, 957-968 2010 Refereed Disclose to all
Kashima H, Yamanishi Y, Kato T, Sugiyama M, Tsuda K Kashima H, Yamanishi Y, Kato T, Sugiyama M, Tsuda K Kashima H, Yamanishi Y, Kato T, Sugiyama M, Tsuda K 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. Bioinformatics (Oxford, England), 25, 22, 2962-2968 Bioinformatics (Oxford, England), 25, 22, 2962-2968 Bioinformatics (Oxford, England), 25, 22, 2962-2968 2009/11 Refereed Disclose to all
Shohei Hido, Hisashi Kashima, Yutaka Takahashi Shohei Hido, Hisashi Kashima, Yutaka Takahashi Shohei Hido, Hisashi Kashima, Yutaka Takahashi Roughly-balanced Bagging for Imbalanced Data Roughly-balanced Bagging for Imbalanced Data Roughly-balanced Bagging for Imbalanced Data Statistical Analysis and Data Mining, 2, 5-6, 412-426 Statistical Analysis and Data Mining, 2, 5-6, 412-426 Statistical Analysis and Data Mining, 2, 5-6, 412-426 2009 Refereed 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
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 Journal of Information Processing, 17, 138-155 Journal of Information Processing, 17, 138-155 Journal of Information Processing, 17, 138-155 2009 Refereed 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 Transactions on Neural Networks, 20, 1, 35-44 IEEE Transactions on Neural Networks, 20, 1, 35-44 IEEE Transactions on Neural Networks, 20, 1, 35-44 2009 Refereed Disclose to all
Kashima Hisashi, Oyama Satoshi, Yamanishi Yoshihiro, Tsuda Koji Kashima Hisashi, Oyama Satoshi, Yamanishi Yoshihiro, Tsuda Koji Kashima Hisashi, Oyama Satoshi, Yamanishi Yoshihiro, Tsuda Koji 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-+ ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 5476, 1030-+ ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 5476, 1030-+ 2009 Refereed Disclose to all
Sugiyama Masashi, Suzuki Taiji, Nakajima Shinichi, Kashima Hisashi, von Buenau Paul, Kawanabe Motoaki Sugiyama Masashi, Suzuki Taiji, Nakajima Shinichi, Kashima Hisashi, von Buenau Paul, Kawanabe Motoaki Sugiyama Masashi, Suzuki Taiji, Nakajima Shinichi, Kashima Hisashi, von Buenau Paul, Kawanabe Motoaki 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 Disclose to all
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 Disclose to all
Hisashi Kashima 鹿島久嗣 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 Transaction on Information and Systems, 90-D, 12, 2043-2052 IEICE Transaction on Information and Systems, 90-D, 12, 2043-2052 IEICE Transaction on Information and Systems, 90-D, 12, 2043-2052 2007 Refereed Disclose to all
Tetsuji Kuboyama, Hisashi Kashima, Kiyoko F. Aoki-Kinoshita, Kouichi Hirata, Hiroshi Yasuda Tetsuji Kuboyama, Hisashi Kashima, Kiyoko F. Aoki-Kinoshita, Kouichi Hirata, Hiroshi Yasuda Tetsuji Kuboyama, Hisashi Kashima, Kiyoko F. Aoki-Kinoshita, Kouichi Hirata, Hiroshi Yasuda A Spectrum Tree Kernel A Spectrum Tree Kernel A Spectrum Tree Kernel Journal of Japanese Society for Artificial Intelligence, 22, 2 人工知能学会論文誌, 22, 2 Journal of Japanese Society for Artificial Intelligence, 22, 2 2007 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 Journal of Japanese Society for Artificial Intelligence, 22, 2 人工知能学会論文誌, 22, 2 Journal of Japanese Society for Artificial Intelligence, 22, 2 2007 Refereed 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
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
Shibuya T, Kashima H, Konagaya A Shibuya T, Kashima H, Konagaya A Shibuya T, Kashima H, Konagaya A 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. Bioinformatics (Oxford, England), 20, 1, 29-39 Bioinformatics (Oxford, England), 20, 1, 29-39 Bioinformatics (Oxford, England), 20, 1, 29-39 2004/01 Refereed Disclose to all

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Misc
Author Author(Japanese) Author(English) Title Title(Japanese) Title(English) Bibliography Bibliography(Japanese) Bibliography(English) Publication date Refereed paper Language Publishing type Disclose
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(<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
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
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
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
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
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
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
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
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
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
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
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
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
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
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(IBIS2010(情報論的学習理論ワークショップ)) 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, 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
Hisashi Kashima, Yoshihiro Yamanishi, Tsuyoshi Kato, Masashi Sugiyama, Koji Tsuda 鹿島 久嗣, 山西 芳裕, 加藤 毅, 杉山 将, 津田 宏治 Hisashi Kashima, Yoshihiro Yamanishi, Tsuyoshi Kato, Masashi Sugiyama, Koji Tsuda 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, 2010, 19, 1-8 情報処理学会研究報告. BIO, バイオ情報学, 2010, 19, 1-8 IPSJ SIG technical reports, 2010, 19, 1-8 2010/06/11 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

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Title language:
Books etc
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
嶋田茂 (首都大学東京 産業技術大学院大学)/ 伊藤大雄 (電気通信大学) / 坂本 比呂志 (九州工業大学)/ 當仲寛哲 (ユニバーサルシェルプログラミング研究所), 鷲尾隆 (大阪大学)/ 上田修功 (日本電信電話) / 杉山将 (東京工業大学) / 鹿島久嗣 (東京大学) / 鈴木大慈 (東京工業大学) / 河原大輔 (京都大学), 黒橋禎夫 (京都大学) / 関根聡 (楽天) / 西尾信彦 (立命館大学) / 稲越宏弥 (富士通研究所), ほか計36名 嶋田茂 (首都大学東京 産業技術大学院大学)/ 伊藤大雄 (電気通信大学) / 坂本 比呂志 (九州工業大学)/ 當仲寛哲 (ユニバーサルシェルプログラミング研究所), 鷲尾隆 (大阪大学)/ 上田修功 (日本電信電話) / 杉山将 (東京工業大学) / 鹿島久嗣 (東京大学) / 鈴木大慈 (東京工業大学) / 河原大輔 (京都大学), 黒橋禎夫 (京都大学) / 関根聡 (楽天) / 西尾信彦 (立命館大学) / 稲越宏弥 (富士通研究所), ほか計36名 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
Rael Dornfest, Paul Bausch, Tara Calishain Rael Dornfest, Paul Bausch, Tara Calishain 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
Tara Calishain, Rael Dornfest, 山名 早人, 石川 隼輔, 堀井 洋, 村上 明子, 鹿島 久嗣, 小柳 光生 Tara Calishain, Rael Dornfest, 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2版―プロが使うテクニック&ツール100選 Google Hacks 第2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 2005/08 Joint Work Disclose to all
Title language:
Patents
Inventor(s) Inventor(s) (Japanese) Inventor(s) (English) Title Title(Japanese) Title(English) Stage Patent number Date Disclose
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
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
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

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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
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

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