| Fairness-Aware Classifier with Prejudice Remover Regularizer T Kamishima, S Akaho, H Asoh, J Sakuma The European Conference on Machine Learning and Principles of Knowledge …, 2012 | 941 | 2012 |
| Fairness-aware Learning through Regularization Approach T Kamishima, S Akaho, J Sakuma The IEEE 11th International Conference on Data Mining Workshops (ICDMW), 643-650, 2011 | 483 | 2011 |
| Nantonac Collaborative Filtering: Recommendation Based on Order Responses T Kamishima The 9th International Conference on Knowledge Discovery and Data Mining (KDD …, 2003 | 265 | 2003 |
| Multistakeholder Recommendation: Survey and Research Directions H Abdollahpouri, G Adomavicius, R Burke, I Guy, D Jannach, ... User Modeling and User-Adapted Interaction, 2020 | 257 | 2020 |
| TrBagg: A Simple Transfer Learning Method and Its Application to Personalization in Collaborative Tagging T Kamishima, M Hamasaki, S Akaho The 9th IEEE International Conference on Data Mining (ICDM), 219-228, 2009 | 113 | 2009 |
| Correcting Popularity Bias by Enhancing Recommendation Neutrality T Kamishima, S Akaho, H Asoh, J Sakuma The 8th ACM conference on Recommender Systems (RecSys), Poster, 2014 | 95 | 2014 |
| Enhancement of the Neutrality in Recommendation T Kamishima, S Akaho, H Asoh, J Sakuma The 2nd Workshop on Human Decision Making in Recommender Systems (Decisions), 2012 | 87 | 2012 |
| A Survey and Empirical Comparison of Object Ranking Methods T Kamishima, H Kazawa, S Akaho Preference Learning, 181-202, 2010 | 83 | 2010 |
| Recommendation Independence T Kamishima, S Akaho, H Asoh, J Sakuma The 1st Conference on Fairness, Accountability and Transparency, PMLR 81 …, 2018 | 75 | 2018 |
| Efficient Clustering for Orders T Kamishima, S Akaho Mining Complex Data, 261-279, 2009 | 65 | 2009 |
| Supervised Ordering — An Empirical Survey T Kamishima, H Kazawa, S Akaho The 5th IEEE International Conference on Data Mining (ICDM), 673-676, 2005 | 63 | 2005 |
| Prediction with Model-based Neutrality K Fukuchi, T Kamishima, J Sakuma IEICE Transactions on Information and Systems, vol. E98-D, no. 8, 1503-1516, 2015 | 56 | 2015 |
| Prediction with Model-based Neutrality K Fukuchi, J Sakuma, T Kamishima The European Conference on Machine Learning and Principles of Knowledge …, 2013 | 56 | 2013 |
| Efficiency Improvement of Neutrality-Enhanced Recommendation T Kamishima, S Akaho, H Asoh, J Sakuma The 3rd Workshop on Human Decision Making in Recommender Systems (Decisions), 2013 | 54 | 2013 |
| FACTS-IR: Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval A Roegiest, A Lipani, A Beutel, A Olteanu, A Lucic, A Stoica, A Das, ... | 41* | 2019 |
| Personalized Pricing Recommender System — Multi-Stage Epsilon-Greedy Approach T Kamishima, S Akaho The 2nd International Workshop on Information Heterogeneity and Fusion in …, 2011 | 41 | 2011 |
| Clustering Orders T Kamishima, J Fujiki The 6th International Conference on Discovery Science (DS), 194-207, 2003 | 36 | 2003 |
| Learning from Cluster Examples T Kamishima, F Motoyoshi Machine Learning 53 (3), 199-233, 2003 | 36 | 2003 |
| Considerations on Recommendation Independence for a Find-Good-Items Task T Kamishima, S Akaho Workshop on Responsible Recommendation (FATREC), 2017 | 34 | 2017 |
| Model-Based Approaches for Independence-Enhanced Recommendation T Kamishima, S Akaho, H Asoh, I Sato The IEEE 16th International Conference on Data Mining Workshops (ICDMW), 860-867, 2016 | 34 | 2016 |
| An Application of Inverse Reinforcement Learning to Medical Records of Diabetes Treatment H Asoh, M Shiro, S Akaho, T Kamishima, K Hasida, E Aramaki, T Kohro The ECMLPKDD2013 Workshop: Reinforcement Learning with Generalized Feedback …, 2013 | 31 | 2013 |
| Considerations on Fairness-aware Data Mining T Kamishima, S Akaho, H Asoh, J Sakuma Tthe IEEE 12th International Conference on Data Mining Workshops (ICDMW), 2012 | 28 | 2012 |
| Crowdordering T Matsui, Y Baba, T Kamishima, H Kashima The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining …, 2014 | 25 | 2014 |
| Learning from Order Examples T Kamishima, S Akaho The 2nd IEEE International Conference on Data Mining (ICDM), 645-648, 2002 | 25 | 2002 |
| Model-Based and Actual Independence for Fairness-Aware Classification T Kamishima, S Akaho, H Asoh, J Sakuma Data Mining and Knowledge Discovery 32, 258-286, 2018 | 24 | 2018 |
| An Experimental Multimodal Disputation System K Nitta, O Hasegawa, T Akiba, T Kamishima, T Kurita, S Hayamizu, K Itoh, ... IJCAI-97 Workshop: Intelligent Multimodal Systems 97, 23-28, 1997 | 24 | 1997 |
| Nantonac Collaborative Filtering — A Model-Based Approach T Kamishima, S Akaho The 4th ACM Conference on Recommender Systems (RecSys), 273-276, 2010 | 19 | 2010 |
| The Independence of Fairness-aware Classifiers T Kamishima, S Akaho, H Asoh, J Sakuma The IEEE 13th International Conference on Data Mining Workshops (ICDMW), 2013 | 16 | 2013 |
| 2nd FATREC workshop: responsible recommendation T Kamishima, PN Schwab, MD Ekstrand The 12th ACM Conference on Recommender Systems, 516-516, 2018 | 11 | 2018 |
| BaggTaming — Learning from Wild and Tame Data T Kamishima, M Hamasaki, S Akaho ECML/PKDD2008 Workshop: Wikis, Blogs, Bookmarking Tools — Mining the Web 2.0, 2008 | 11 | 2008 |
| Filling-in Missing Objects in Orders T Kamishima, S Akaho The 4th IEEE International Conference on Data Mining (ICDM), 423-426, 2004 | 11 | 2004 |
| Supervised Ordering by Regression Combined with Thurstone's Model T Kamishima, S Akaho Artificial Intelligence Review 25 (3), 231-246, 2006 | 10 | 2006 |
| Dimension Reduction for Supervised Ordering T Kamishima, S Akaho The 6th IEEE International Conference on Data Mining (ICDM), 330-339, 2006 | 10 | 2006 |
| Modeling Medical Records of Diabetes Using Markov Decision Process H Asoh, M Shiro, S Akaho, T Kamishima, K Hasida, E Aramaki, T Kohro ICML2013 Workshop: Role of Machine Learning in Transforming Healthcare, 2013 | 8* | 2013 |
| Nantonac Collaborative Filtering — Recommendation Based on Multiple Order Responses T Kamishima, S Akaho The 1st International Workshop on Data-Mining and Statistical Science (DMSS …, 2006 | 8* | 2006 |
| Crowdsourcing Quality Control for Item Ordering Tasks T Matsui, Y Baba, T Kamishima, H Kashima The 1st AAAI Conference on Human Computation and Crowdsourcing (HCOMP …, 2013 | 7 | 2013 |
| 3rd FAccTRec Workshop: Responsible Recommendation MD Ekstrand, PN Schwab, J Garcia-Gathright, T Kamishima, N Sonboli The 14th ACM Conference on Recommender Systems, 607-608, 2020 | 5 | 2020 |
| Progressive Comparison for Ranking Estimation R Takahama, H Kashima, T Kamishima The 25th International Joint Conference on Artificial Intelligence (IJCAI …, 2016 | 5 | 2016 |
| Personalized Tag Prediction Boosted by BaggTaming — A Case Study of the Hatena Bookmark T Kamishima, M Hamasaki, S Akaho The 3rd International Workshop on Data-Mining and Statistical Science (DMSS), 2008 | 3 | 2008 |
| Estimating Attributed Central Orders — An Empirical Comparison T Kamishima, H Kazawa, S Akaho The 15th European Conference on Machine Learning (ECML), 563-565, 2004 | 3 | 2004 |
| FAccTRec 2022: The 5th Workshop on Responsible Recommendation N Sonboli, T Kamishima, A Raj, L Belli, R Burke Proceedings of the 16th ACM Conference on Recommender Systems, 686-687, 2022 | 1 | 2022 |
| FAccTRec 2021: The 4th Workshop on Responsible Recommendation MD Ekstrand, PN Schwab, T Kamishima, N Sonboli Proceedings of the 15th ACM Conference on Recommender Systems, 778-779, 2021 | 1 | 2021 |
| Absolute and Relative Clustering T Kamishima, S Akaho The 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and …, 2013 | 1 | 2013 |
| Re-formalization of Individual Fairness T Kamishima The 6th FAccTRec Workshop: Responsible Recommendation, 2023 | | 2023 |
| Preliminary Experiments to Examine the Stability of Bias-Aware Techniques T Kamishima, S Akaho, Y Baba, H Kashima The 2nd International Workshop on Algorithmic Bias in Search and …, 2021 | | 2021 |
| Future Directions of Fairness-aware Data Mining: Recommendation, Causality, and Theoretical Aspects T Kamishima, K Fukuchi ICML 2015 Workshop: Fairness, Accountability, and Transparency in Machine …, 2015 | | 2015 |
| Arresting Treatment Patterns for Individual Patients in Clinical Big Data: An Exploratory Procedure M Morita, M Shiro, S Akaho, T Kamishima, H Asoh, E Aramaki, K Hasida, ... 2014 AAAI Spring Symposium Series – Big Data Becomes Personal: Knowledge …, 2014 | | 2014 |
| Dimension Reduction for Object Ranking T Kamishima, S Akaho Preference Learning, 203-215, 2010 | | 2010 |
| Object Ranking T Kamishima ECMLPKDD 2009 Workshop: Preference Learning (PL), 2009 | | 2009 |
Shotaro AkahoAISTVerified email at aist.go.jp
