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Semantic ScholarToshihiro Kamishima
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- affiliation: National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
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2020 – today
- 2020
[j5]Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke
, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Augusto Pizzato:
Multistakeholder recommendation: Survey and research directions. User Model. User Adapt. Interact. 30(1): 127-158 (2020)
2010 – 2019
- 2019
- [i1]Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Augusto Pizzato:
Beyond Personalization: Research Directions in Multistakeholder Recommendation. CoRR abs/1905.01986 (2019) - 2018
- [j4]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Model-based and actual independence for fairness-aware classification. Data Min. Knowl. Discov. 32(1): 258-286 (2018) - [c26]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Recommendation Independence. FAT 2018: 187-201 - [c25]Toshihiro Kamishima, Pierre-Nicolas Schwab, Michael D. Ekstrand:
2nd FATREC workshop: responsible recommendation. RecSys 2018: 516 - 2016
- [c24]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Issei Sato:
Model-Based Approaches for Independence-Enhanced Recommendation. ICDM Workshops 2016: 860-867 - [c23]Ryusuke Takahama, Toshihiro Kamishima, Hisashi Kashima:
Progressive Comparison for Ranking Estimation. IJCAI 2016: 3882-3888 - 2015
- [j3]Kazuto Fukuchi, Toshihiro Kamishima, Jun Sakuma:
Prediction with Model-Based Neutrality. IEICE Trans. Inf. Syst. 98-D(8): 1503-1516 (2015) - 2014
- [c22]Mizuki Morita, Masanori Shiro, Shotaro Akaho, Hideki Asoh, Toshihiro Kamishima, Eiji Aramaki, Kôiti Hasida, Takahide Kohro:
Arresting Treatment Patterns for Individual Patients in Clinical Big Data: An Exploratory Procedure. AAAI Spring Symposia 2014 - [c21]Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima:
Crowdordering. PAKDD (2) 2014: 336-347 - [c20]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Correcting Popularity Bias by Enhancing Recommendation Neutrality. RecSys Posters 2014 - 2013
- [c19]Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima:
Crowdsourcing Quality Control for Item Ordering Tasks. HCOMP (Works in Progress / Demos) 2013 - [c18]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
The Independence of Fairness-Aware Classifiers. ICDM Workshops 2013: 849-858 - [c17]Toshihiro Kamishima, Shotaro Akaho:
Absolute and relative clustering. MultiClust@KDD 2013: 6 - [c16]Kazuto Fukuchi, Jun Sakuma, Toshihiro Kamishima:
Prediction with Model-Based Neutrality. ECML/PKDD (2) 2013: 499-514 - [c15]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Efficiency Improvement of Neutrality-Enhanced Recommendation. Decisions@RecSys 2013: 1-8 - 2012
- [c14]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Considerations on Fairness-Aware Data Mining. ICDM Workshops 2012: 378-385 - [c13]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Fairness-Aware Classifier with Prejudice Remover Regularizer. ECML/PKDD (2) 2012: 35-50 - [c12]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Enhancement of the Neutrality in Recommendation. Decisions@RecSys 2012: 8-14 - 2011
- [c11]Toshihiro Kamishima, Shotaro Akaho, Jun Sakuma:
Fairness-aware Learning through Regularization Approach. ICDM Workshops 2011: 643-650 - 2010
- [c10]Toshihiro Kamishima, Shotaro Akaho:
Nantonac collaborative filtering: a model-based approach. RecSys 2010: 273-276 - [p3]Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho:
A Survey and Empirical Comparison of Object Ranking Methods. Preference Learning 2010: 181-201 - [p2]Toshihiro Kamishima, Shotaro Akaho:
Dimension Reduction for Object Ranking. Preference Learning 2010: 203-215
2000 – 2009
- 2009
- [c9]Toshihiro Kamishima, Masahiro Hamasaki, Shotaro Akaho:
TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative Tagging. ICDM 2009: 219-228 - [p1]Toshihiro Kamishima, Shotaro Akaho:
Efficient Clustering for Orders. Mining Complex Data 2009: 261-279 - 2006
- [j2]Toshihiro Kamishima, Shotaro Akaho:
Supervised ordering by regression combined with Thurstone's model. Artif. Intell. Rev. 25(3): 231-246 (2006) - [c8]Toshihiro Kamishima, Shotaro Akaho:
Efficient Clustering for Orders. ICDM Workshops 2006: 274-278 - [c7]Toshihiro Kamishima, Shotaro Akaho:
Dimension Reduction for Supervised Ordering. ICDM 2006: 330-339 - 2005
- [c6]Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho:
Supervised Ordering - An Empirical Survey. ICDM 2005: 673-676 - 2004
- [c5]Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho:
Estimating Attributed Central Orders: An Empirical Comparison. ECML 2004: 563-565 - [c4]Toshihiro Kamishima, Shotaro Akaho:
Filling-in Missing Objects in Orders. ICDM 2004: 423-426 - 2003
- [j1]Toshihiro Kamishima, Fumio Motoyoshi:
Learning from Cluster Examples. Mach. Learn. 53(3): 199-233 (2003) - [c3]Toshihiro Kamishima, Jun Fujiki:
Clustering Orders. Discovery Science 2003: 194-207 - [c2]Toshihiro Kamishima:
Nantonac collaborative filtering: recommendation based on order responses. KDD 2003: 583-588 - 2002
- [c1]Toshihiro Kamishima, Shotaro Akaho:
Learning from Order Examples. ICDM 2002: 645-648
Coauthor Index
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