鹿島久嗣

J-GLOBALへ         更新日: 17/11/17 15:54
 
アバター
研究者氏名
鹿島久嗣
 
カシマ ヒサシ
URL
http://kaken.nii.ac.jp/d/r/80545583.ja.html
所属
京都大学

研究分野

 
 

経歴

 
2014年4月
 - 
現在
京都大学 大学院情報学研究科 教授
 
2009年8月
 - 
2013年3月
東京大学 大学院情報理工学系研究科 准教授
 

論文

 
Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests
Junpei Naito, Yukino Baba, Hisashi Kashima, Takenori Takaki, Takuya Funo
Proceedings of the 8th Symposium on Educational Advances in Artificial Intelligence (EAAI)      2018年   [査読有り]
Educational Competition Platform for Data Analysis: Lessons Learned and Future Challenges
Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima
Proceedings of the 8th Symposium on Educational Advances in Artificial Intelligence (EAAI)      2018年   [査読有り]
AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling
Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima
Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI),      2018年   [査読有り]
Predicting Fuel Consumption and Flight Delays for Low-cost Airlines
Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno
Proceedings of the 29th Conference on Innovative Applications of Artificial Intelligence (IAAI)      2017年   [査読有り]
Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU
Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka
Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI)      2017年   [査読有り]
Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process
Takeru Sunahase, Yukino Baba, Hisashi Kashima
Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI)      2017年   [査読有り]
A Generalized Model for Multidimensional Intransitivity.
Jiuding Duan, Jiyi Li, Yukino Baba, Hisashi Kashima
Proceedings of the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)      2017年   [査読有り]
Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies
Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima
Proceeding of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)      2017年   [査読有り]
Distributed Multi-task Learning for Sensor Network
Jiyi Li, Tomohiro Arai, Yukino Baba, Hisashi Kashima, Shotaro Miwa
Proceeding of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)      2017年   [査読有り]
Kosuke Yoshimura, Yukino Baba and Hisashi Kashima
Proceeding of the 24th International Conference on Neural Information Processing (ICONIP)   31(2)    2017年   [査読有り]
Atomic Distance Kernel for Material Property Prediction.
Hirotaka Akita, Yukino Baba, Hisashi Kashima and Atsuto Seko
Proceeding of the 24th International Conference on Neural Information Processing (ICONIP)      2017年   [査読有り]
Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing
Jiyi Li, Yukino Baba, Hisashi Kashima
Proceeding of the 26th ACM International Conference on Information and Knowledge Management (CIKM)      2017年   [査読有り]
Koh Takeuchi, Hisashi Kashima, Naonori Ueda
Koh Takeuchi, Hisashi Kashima, Naonori Ueda
Proceedings of the 2017 IEEE International Conference on Data Mining (ICDM)      2017年   [査読有り]
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
則 のぞみ, 鹿島 久嗣, 山下 和人, 猪飼 宏, 今中 雄一
電子情報通信学会論文誌和文   J100-D(2) 194-204   2017年   [査読有り]
Link Prediction in Sparse Networks by Incidence Matrix Factorization.
Journal of Information Processing   25 477-485   2017年   [査読有り]
Toshiko Matsui,Yukino Baba,Toshihiro Kamishima,Hisashi Kashima
Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II   8444 336-347   2014年   [査読有り]
Jingjing Wang,Satoshi Oyama,Masahito Kurihara,Hisashi Kashima
The 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC '14, Siem Reap, Cambodia - January 09 - 11, 2014      2014年   [査読有り]
Yukino Baba,Hisashi Kashima,Kei Kinoshita,Goushi Yamaguchi,Yosuke Akiyoshi
Expert Syst. Appl.   41(6) 2678-2687   2014年   [査読有り]
Hiroshi Kajino,Hiromi Arai,Hisashi Kashima
Data Min. Knowl. Discov.   28(5-6) 1314-1335   2014年   [査読有り]
Yoshifumi Aimoto,Hisashi Kashima
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II   7819 521-532   2013年   [査読有り]
Yukino Baba,Hisashi Kashima
The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013   554-562   2013年   [査読有り]
Satoshi Oyama,Yukino Baba,Yuko Sakurai,Hisashi Kashima
IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013      2013年   [査読有り]
Yukino Baba,Hisashi Kashima,Kei Kinoshita,Goushi Yamaguchi,Yosuke Akiyoshi
Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, IAAI 2013, July 14-18, 2013, Bellevue, Washington, USA.      2013年   [査読有り]
Satoshi Oyama,Yukino Baba,Yuko Sakurai,Hisashi Kashima
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年   [査読有り]
Toshiko Matsui,Yukino Baba,Toshihiro Kamishima,Hisashi Kashima
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年   [査読有り]
Yukino Baba,Hisashi Kashima
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年   [査読有り]
Hiroshi Kajino,Yuta Tsuboi,Hisashi Kashima
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14-18, 2013, Bellevue, Washington, USA.      2013年   [査読有り]
Xu Sun,Hisashi Kashima,Naonori Ueda
IEEE Trans. Knowl. Data Eng.   25(11) 2551-2563   2013年   [査読有り]
Hiroto Saigo,Hisashi Kashima,Koji Tsuda
IEICE Transactions   E96-D(8) 1766-1773   2013年   [査読有り]
Michael E. Houle,Hisashi Kashima,Michael Nett
12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012   587-594   2012年   [査読有り]
Nozomi Nori,Danushka Bollegala,Hisashi Kashima
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada.      2012年   [査読有り]
Hiroshi Kajino,Yuta Tsuboi,Hisashi Kashima
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada.      2012年   [査読有り]
Satoshi Oyama,Kohei Hayashi,Hisashi Kashima
IEICE Transactions   E95-D(11) 2664-2673   2012年   [査読有り]
Junichiro Mori,Yuya Kajikawa,Hisashi Kashima,Ichiro Sakata
Expert Syst. Appl.   39(12) 10402-10407   2012年   [査読有り]
Atsuhiro Narita,Kohei Hayashi,Ryota Tomioka,Hisashi Kashima
Data Min. Knowl. Discov.   25(2) 298-324   2012年   [査読有り]
Teramoto R, Kashima H
Journal of molecular graphics & modelling   29(3) 492-497   2010年11月   [査読有り]
Ozawa Y, Saito R, Fujimori S, Kashima H, Ishizaka M, Yanagawa H, Miyamoto-Sato E, Tomita M
BMC bioinformatics   11    2010年6月   [査読有り]
Saigo H, Hattori M, Kashima H, Tsuda K
BMC bioinformatics   11    2010年1月   [査読有り]
Kashima H, Yamanishi Y, Kato T, Sugiyama M, Tsuda K
Bioinformatics (Oxford, England)   25 2962-2968   2009年11月   [査読有り]
A gram distribution kernel applied to glycan classification and motif extraction.
Kuboyama T, Hirata K, Aoki-Kinoshita KF, Kashima H, Yasuda H
Genome informatics. International Conference on Genome Informatics   17 25-34   2006年   [査読有り]
Shibuya T, Kashima H, Konagaya A
Bioinformatics (Oxford, England)   20(1) 29-39   2004年1月   [査読有り]

Misc

 
鹿島 久嗣
人工知能学会誌   28(1)    2013年1月
鹿島 久嗣, 梶野 洸
人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence   27(4) 381-388   2012年7月
鹿島 久嗣, 梶野 洸
人工知能学会誌   27(4) 381-388   2012年7月
相本 佳史, 鹿島 久嗣
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   2012年3月
行列やテンソルとして表現されるデータの解析には,通常これらの低ランク性を仮定した分解が利用される.しかし,データが各々の要素レベルではなく,より抽象度の高い上位のカテゴリレベルにおいても観測されうる状況においては,通常の行列分解,テンソル分解の方法をそのまま用いることはできない.そこで本研究では,上位カテゴリにおける観測データが得られる場合の行列およびテンソル分解の問題を提案し,その効率的な解法を与える.そして,実データを含むいくつかのデータを用いた要素補完問題において,提案手法が素朴な解...
林 浩平, 竹之内 高志, 冨岡 亮太, 鹿島 久嗣
人工知能学会論文誌   27(3) 103-110   2012年
Multi-task learning aims at transferring knowledge between similar tasks. The multi-task Gaussian process framework of Bonilla et al. models (incomplete) responses of C data points for R tasks (e.g., the responses are given by...