Learning from Order Examples. - Toshihiro Kamishima; Shotaro Akaho (ICDM, 2002)

Clustering Orders. - Toshihiro Kamishima; Jun Fujiki (Discovery Science, 2003)

Nantonac collaborative filtering: recommendation based on order responses. - Toshihiro Kamishima (KDD, 2003)

Learning from Cluster Examples. - Toshihiro Kamishima; Fumio Motoyoshi (Mach. Learn., 2003)

Estimating Attributed Central Orders: An Empirical Comparison. - Toshihiro Kamishima; Hideto Kazawa; Shotaro Akaho (ECML, 2004)

Filling-in Missing Objects in Orders. - Toshihiro Kamishima; Shotaro Akaho (ICDM, 2004)

Supervised Ordering - An Empirical Survey. - Toshihiro Kamishima; Hideto Kazawa; Shotaro Akaho (ICDM, 2005)

Dimension Reduction for Supervised Ordering. - Toshihiro Kamishima; Shotaro Akaho (ICDM, 2006)

Efficient Clustering for Orders. - Toshihiro Kamishima; Shotaro Akaho (ICDM Workshops, 2006)

Supervised ordering by regression combined with Thurstone's model. - Toshihiro Kamishima; Shotaro Akaho (Artif. Intell. Rev., 2006)

TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative Tagging. - Toshihiro Kamishima; Masahiro Hamasaki; Shotaro Akaho (ICDM, 2009)

Efficient Clustering for Orders. - Toshihiro Kamishima; Shotaro Akaho (Mining Complex Data, 2009)

Dimension Reduction for Object Ranking. - Toshihiro Kamishima; Shotaro Akaho (Preference Learning, 2010)

A Survey and Empirical Comparison of Object Ranking Methods. - Toshihiro Kamishima; Hideto Kazawa; Shotaro Akaho (Preference Learning, 2010)

Nantonac collaborative filtering: a model-based approach. - Toshihiro Kamishima; Shotaro Akaho (RecSys, 2010)

Fairness-aware Learning through Regularization Approach. - Toshihiro Kamishima; Shotaro Akaho; Jun Sakuma (ICDM Workshops, 2011)

Personalized pricing recommender system: multi-stage epsilon-greedy approach. - Toshihiro Kamishima; Shotaro Akaho (HetRec@RecSys, 2011)

Considerations on Fairness-Aware Data Mining. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (ICDM Workshops, 2012)

Fairness-Aware Classifier with Prejudice Remover Regularizer. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (ECML/PKDD (2), 2012)

Enhancement of the Neutrality in Recommendation. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (Decisions@RecSys, 2012)

Crowdsourcing Quality Control for Item Ordering Tasks. - Toshiko Matsui; Yukino Baba; Toshihiro Kamishima; Hisashi Kashima (HCOMP (Works in Progress / Demos), 2013)

The Independence of Fairness-Aware Classifiers. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (ICDM Workshops, 2013)

Absolute and relative clustering. - Toshihiro Kamishima; Shotaro Akaho (MultiClust@KDD, 2013)

Prediction with Model-Based Neutrality. - Kazuto Fukuchi; Jun Sakuma; Toshihiro Kamishima (ECML/PKDD (2), 2013)

Efficiency Improvement of Neutrality-Enhanced Recommendation. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (Decisions@RecSys, 2013)

Arresting Treatment Patterns for Individual Patients in Clinical Big Data: An Exploratory Procedure. - Mizuki Morita; Masanori Shiro; Shotaro Akaho; Hideki Asoh; Toshihiro Kamishima; Eiji Aramaki; Kôiti Hasida; Takahide Kohro (AAAI Spring Symposia, 2014)

Crowdordering. - Toshiko Matsui; Yukino Baba; Toshihiro Kamishima; Hisashi Kashima (PAKDD (2), 2014)

Correcting Popularity Bias by Enhancing Recommendation Neutrality. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (RecSys Posters, 2014)

Model-Based Approaches for Independence-Enhanced Recommendation. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Issei Sato (ICDM Workshops, 2016)

Progressive Comparison for Ranking Estimation. - Ryusuke Takahama; Toshihiro Kamishima; Hisashi Kashima (IJCAI, 2016)

Recommendation Independence. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (FAT, 2018)

2nd FATREC workshop: responsible recommendation. - Toshihiro Kamishima; Pierre-Nicolas Schwab; Michael D. Ekstrand (RecSys, 2018)

Model-based and actual independence for fairness-aware classification. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (Data Min. Knowl. Discov., 2018)

Beyond Personalization: Research Directions in Multistakeholder Recommendation. - Himan Abdollahpouri; Gediminas Adomavicius; Robin Burke; Ido Guy; Dietmar Jannach; Toshihiro Kamishima; Jan Krasnodebski; Luiz Augusto Pizzato (CoRR, 2019)

FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. - Alexandra Olteanu; Jean Garcia-Gathright; Maarten de Rijke; Michael D. Ekstrand; Adam Roegiest; Aldo Lipani; Alex Beutel; Ana Lucic; Ana-Andreea Stoica; Anubrata Das 001; Asia Biega; Bart Voorn; et al. (SIGIR Forum, 2019)

3rd FAccTRec Workshop: Responsible Recommendation. - Michael D. Ekstrand; Pierre-Nicolas Schwab; Jean Garcia-Gathright; Toshihiro Kamishima; Nasim Sonboli (RecSys, 2020)

Multistakeholder recommendation: Survey and research directions. - Himan Abdollahpouri; Gediminas Adomavicius; Robin Burke; Ido Guy; Dietmar Jannach; Toshihiro Kamishima; Jan Krasnodebski; Luiz Augusto Pizzato (User Model. User Adapt. Interact., 2020)

Preliminary Experiments to Examine the Stability of Bias-Aware Techniques. - Toshihiro Kamishima; Shotaro Akaho; Yukino Baba; Hisashi Kashima (BIAS, 2021)

FAccTRec 2021: The 4th Workshop on Responsible Recommendation. - Michael D. Ekstrand; Pierre-Nicolas Schwab; Toshihiro Kamishima; Nasim Sonboli (RecSys, 2021)

FAccTRec 2022: The 5th Workshop on Responsible Recommendation. - Nasim Sonboli; Toshihiro Kamishima; Amifa Raj; Luca Belli; Robin Burke (RecSys, 2022)

Re-formalization of Individual Fairness. - Toshihiro Kamishima (CoRR, 2023)

FAccTRec 2024: The 7th Workshop on Responsible Recommendation. - Michael D. Ekstrand; Toshihiro Kamishima; Amifa Raj; Karlijn Dinnissen (RecSys, 2024)

FAccTRec 2025: The 8th Workshop on Responsible Recommendation. - Michael D. Ekstrand; Toshihiro Kamishima; Amifa Raj; Karlijn Dinnissen (RecSys, 2025)