Publication - Toshihiro Kamishima

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Conferences

T. Kamishima, S. Akaho, H. Asoh, and J. Sakuma “Recommendation Independence” The 1st Conference on Artificial Intelligence (FAT*), PMLR vol.81, pp.187-201 (2018): official-site (open access), article with supplements, presentation, video
R. Takahama, T. Kamishima, and H. Kashima “Progressive Comparison for Ranking Estimation” Proceedings of the the 25th International Joint Conference on Artificial Intelligence (IJCAI), pp.3882-3888 (2016): official-site, article
T. Matsui, Y. Baba, T. Kamishima, and H. Kashima “Crowdordering” Proceedings of the the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Part II, pp.336-347 (2014): official-site, article, presentation
K. Fukuchi, J. Sakuma, and T. Kamishima “Prediction with Model-based Neutrality” Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), Part II, pp.499-514 (2013): official-site, article, video
T. Kamishima, S. Akaho, H. Asoh, and J. Sakuma “Fairness-Aware Classifier with Prejudice Remover Regularizer” Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), Part II, pp.35-50 (2012): official-site, article, presentation, software, [ECMLPKDD 2022 Test of Time Award (award talk)]]
T. Kamishima and S. Akaho “Nantonac Collaborative Filtering — A Model-Based Approach” Proceedings of the 4th ACM Conference on Recommender Systems (RecSys), pp.273-276 (2010): official-site, article, poster
T. Kamishima, M. Hamasaki, and S. Akaho “TrBagg: A Simple Transfer Learning Method and Its Application to Personalization in Collaborative Tagging” Proceedings of the 9th IEEE International Conference on Data Mining (ICDM), pp.219-228 (2009): official-site, article, presentation
T. Kamishima and S. Akaho “Dimension Reduction for Supervised Ordering” Proceedings of the 6th IEEE International Conference on Data Mining (ICDM), pp.330-339 (2006): official-site, article, presentation
T. Kamishima, H. Kazawa, and S. Akaho “Supervised Ordering — An Empirical Survey” Proceedings of the 5th IEEE International Conference on Data Mining (ICDM), pp.673-676 (2005): official-site, article, presentation
T. Kamishima and S. Akaho “Filling-in Missing Objects in Orders” Proceedings of the 4th IEEE International Conference on Data Mining (ICDM), pp.423-426 (2004): official-site, article, presentation
T. Kamishima, H. Kazawa, and S. Akaho “Estimating Attributed Central Orders — An Empirical Comparison” Proceedings of the 15th European Conference on Machine Learning (ECML), pp.563-565 (2004) [LNAI 3201]: official-site, poster
T. Kamishima and J. Fujiki “Clustering Orders” Proceedings of the 6th International Conference on Discovery Science (DS), pp.194-207 (2003) [LNAI 2843]: official-site (open access), article, presentation
T. Kamishima “Nantonac Collaborative Filtering: Recommendation Based on Order Responses” Proceedings of the 9th International Conference on Knowledge Discovery and Data Mining (KDD), pp.583-588 (2003): official-site, article, poster
T. Kamishima and S. Akaho “Learning from Order Examples” Proceedings of the 2nd IEEE International Conference on Data Mining (ICDM), pp.645-648 (2002): official-site, article, poster

Journals

H. Abdollahpouri, G. Adomavicius, R. Burke, I. Guy, D. Jannach, T. Kamishima, J. Krasnodebski, and L. Pizzato “Multistakeholder Recommendation: Survey and Research Directions” User Modeling and User-Adapted Interaction, vol.30, pp.127-158 (2020): official-site
T. Kamishima, S. Akaho, H. Asoh, and J. Sakuma “Model-Based and Actual Independence for Fairness-Aware Classification” Data Mining and Knowledge Discovery, vol.32, pp.258-286 (2018): official-site (open access), article
K. Fukuchi, T. Kamishima, and J. Sakuma “Prediction with Model-based Neutrality” IEICE Transactions on Information and Systems, vol.E98–D, no.8, pp.1503-1516 (2015): official-site (open access), article
T. Kamishima and S. Akaho “Supervised Ordering by Regression Combined with Thurstone’s Model” Artificial Intelligence Review, vol.25, pp.231-246 (2006): official-site, article
T. Kamishima and F. Motoyoshi “Learning from Cluster Examples” Machine Learning, vol.53, pp.199-233 (2003): official-site (open access), article
T. Kamishima “Learning from Cluster Examples” Doctor Thesis of Informatics, Kyoto University (2001): article

Book Chapters

T. Kamishima and S. Akaho “Dimension Reduction for Object Ranking” In J. Fürnkranz and E. Hüllermeier, editors, Preference Learning, pp. 203–215. Springer (2010): official-site, article
T. Kamishima, H. Kazawa, and S. Akaho “A Survey and Empirical Comparison of Object Ranking Methods” In J. Fürnkranz and E. Hüllermeier, editors, Preference Learning, pp. 181–201. Springer (2010): official-site, article
T. Kamishima and S. Akaho “Efficient Clustering for Orders” In D. A. Zighed, S. Tsumoto, Z. W. Ras, and H. Hacid, editors, Mining Complex Data, Vol.165 of Studies in Computational Intelligence, chapter 15, pp. 261–280. Springer (2009): official-site, article

Workshops and Others

T. Kamishima “Re-formalization of Individual Fairness” The 6th FAccTRec Workshop: Responsible Recommendation (2023): official-site, workshop-site, presentation
T. Kamishima, S. Akaho, Y. Baba, and H. Kashima “Preliminary Experiemnts on the Stability of Bias-aware Techniques” The 2nd International Workshop on Algorithmic Bias in Search and Recommendation (Bias) (2021): official-site, workshop-site, presentation
T. Kamishima and S. Akaho “Considerations on Recommendation Independence for a Find-Good-Items Task” Workshop on Responsible Recommendation (FATREC) (2017): official-site, workshop-site, article, presentation
T. Kamishima, S. Akaho, H. Asoh, and I. Sato “Model-Based Approaches for Independence-Enhanced Recommendation” The 1st IEEE International Workshop on Privacy and Discrimination in Data Mining (PDDM@ICDM), (2016): official-site, workshop-site, article, presentation
T. Kamishima and K. Fukuchi “Future Directions of Fairness-aware Data Mining: Recommendation, Causality, and Theoretical Aspects” ICML2015 Workshop: Fairness, Accountability, and Transparency in Machine Learning (FATML) (2015): workshop-site, presentation
T. Kamishima, S. Akaho, H. Asoh, and J. Sakuma “Correcting Popularity Bias by Enhancing Recommendation Neutrality” Poster Proceedings of the 8th ACM Conference on Recommender Systems (RecSys) (2014): official-site, article, poster
M. Morita, M. Shiro, S. Akaho, H. Asoh, T. Kamishima, E. Aramaki, K. Hasida, and T. Kohro “Arresting Treatment Patterns for Individual Patients in Clinical Big Data: An Exploratory Procedure” 2014 AAAI Spring Symposia – Big Data Becomes Personal: Knowledge into Meaning (2014)
T. Kamishima, S. Akaho, H. Asoh, and J. Sakuma “The Independence of the Fairness-aware Classifiers” Proceedings of the 4th IEEE International Workshop on Privacy Aspects of Data Mining (PADM@ICDM), pp.849-858 (2013): official-site, workshop-site, article, presentation
T. Matsui, Y. Baba, T. Kamishima and H. Kashima “Crowdsourcing Quality Control for Item Ordering Tasks” The 1st AAAI Conference on Human Computation and Crowdsourcing (HCOMP), Works in Progress (2013): official-site
T. Kamishima, S. Akaho, H. Asoh, and J. Sakuma “Efficiency Improvement of Neutrality-Enhanced Recommendation” Proceedings of the 3rd Workshop on Human Decision Making in Recommender Systems (Decisions@RecSys), pp.1-8 (2013): official-site, article, presentation
H. Asoh, M. Shiro, S. Akaho, T. Kamishima, K. Hasida, E. Aramaki, and T. Kohro “An Application of Inverse Reinforcement Learning to Medical Records of Diabetes Treatment” Proceedings of the ECMLPKDD2013 Workshop: Reinforcement Learning with Generalized Feedback: Beyond Numeric Rewards (PBRL@ECMLPKDD) (2013): official-site, article, presentation
T. Kamishima and S. Akaho “Absolute and Relative Clustering” Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering (Multiclust@KDD) (2013): official-site, workshop-site, article, presentation
H. Asoh, M. Shiro, S. Akaho, T. Kamishima, K. Hasida, E. Aramaki, and T. Kohro “Modeling Medical Records of Diabetes Using Markov Decision Process” ICML2013 Workshop: Role of Machine Learning in Transforming Healthcare (2013): workshop-site
T. Kamishima, S. Akaho, H. Asoh, and J. Sakuma “Considerations on Fairness-aware Data Mining” Proceedings of the IEEE International Workshop on Discrimination and Privacy-Aware Data Mining (DPADM@ICDM), pp.378-385 (2012): official-site, workshop-site, article, presentation
T. Kamishima, S. Akaho, H. Asoh, and J. Sakuma “Enhancement of the Neutrality in Recommendation” Proceedings of the 2nd Workshop on Human Decision Making in Recommender Systems (Decisions@RecSys), pp.8-14 (2012): official-site, article, presentation, software
T. Kamishima, S. Akaho, and J. Sakuma “Fairness-aware Learning through Regularization Approach” Proceedings of the 3rd IEEE International Workshop on Privacy Aspects of Data Mining (PADM@ICDM), pp.643-650 (2011): official-site, article, presentation
T. Kamishima and S. Akaho “Personalized Pricing Recommender System — Multi-Stage Epsilon-Greedy Approach” Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec@RecSys), pp.57-64 (2011): official-site, article, presentation
T. Kamishima “Invited Talk: Object Ranking” ECMLPKDD 2009 Workshop: Preference Learning (PL@ECMLPKDD) (2009): presentation, video
T. Kamishima, M. Hamasaki, and S. Akaho “Personalized Tag Prediction Boosted by BaggTaming — A Case Study of the Hatena Bookmark” Proceedings of the 3rd International Workshop on Data-Mining and Statistical Science (DMSS) (2008): workshop-site, article, presentation
T. Kamishima, M. Hamasaki, and S. Akaho “BaggTaming — Learning from Wild and Tame Data” ECMLPKDD2008 Workshop: Wikis, Blogs, Bookmarking Tools — Mining the Web 2.0 (2008): article+errata, presentation
T. Kamishima and S. Akaho “Efficient Clustering for Orders” Proceedings of the 2nd International Workshop on Mining Complex Data (MCD@ICDM) (2006): official-site, article, presentation
T. Kamishima and S. Akaho “Nantonac Collaborative Filtering — Recommendation Based on Multiple Order Responses” Proceedings of the 1st International Workshop on Data-Mining and Statistical Science (DMSS), pp.117-124 (2006): workshop-site, article, presentation
K. Nitta, O. Hasegawa, T. Akiba, T. Kamishima, T. Kurita, S. Hayamizu, K. Itoh, M. Ishizuka, H. Dohi, and M. Okumura “An Experimental Multimodal Disputation System” IJCAI1997 Workshop: Intelligent Multimodal Systems, pp.23-28(1997): article