Toshihiro Kamishima

Orcid: 0000-0003-3146-4695

Affiliations:
  • National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan


According to our database1, Toshihiro Kamishima authored at least 41 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2023
Re-formalization of Individual Fairness.
CoRR, 2023

2022
FAccTRec 2022: The 5th Workshop on Responsible Recommendation.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021
FAccTRec 2021: The 4th Workshop on Responsible Recommendation.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Preliminary Experiments to Examine the Stability of Bias-Aware Techniques.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021

2020
Multistakeholder recommendation: Survey and research directions.
User Model. User Adapt. Interact., 2020

3rd FAccTRec Workshop: Responsible Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval.
SIGIR Forum, 2019

Beyond Personalization: Research Directions in Multistakeholder Recommendation.
CoRR, 2019

2018
Model-based and actual independence for fairness-aware classification.
Data Min. Knowl. Discov., 2018

2nd FATREC workshop: responsible recommendation.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Recommendation Independence.
Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

2016
Progressive Comparison for Ranking Estimation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Model-Based Approaches for Independence-Enhanced Recommendation.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Prediction with Model-Based Neutrality.
IEICE Trans. Inf. Syst., 2015

2014
Correcting Popularity Bias by Enhancing Recommendation Neutrality.
Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

Crowdordering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Arresting Treatment Patterns for Individual Patients in Clinical Big Data: An Exploratory Procedure.
Proceedings of the 2014 AAAI Spring Symposia, 2014

2013
Efficiency Improvement of Neutrality-Enhanced Recommendation.
Proceedings of the 3rd Workshop on Human Decision Making in Recommender Systems in conjunction with the 7th ACM Conference on Recommender Systems (RecSys 2013), 2013

Absolute and relative clustering.
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, 2013

The Independence of Fairness-Aware Classifiers.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Crowdsourcing Quality Control for Item Ordering Tasks.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

2012
Enhancement of the Neutrality in Recommendation.
Proceedings of the 2nd Workshop on Human Decision Making in Recommender Systems, 2012

Fairness-Aware Classifier with Prejudice Remover Regularizer.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Considerations on Fairness-Aware Data Mining.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Personalized pricing recommender system: multi-stage epsilon-greedy approach.
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, 2011

Fairness-aware Learning through Regularization Approach.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Nantonac collaborative filtering: a model-based approach.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

A Survey and Empirical Comparison of Object Ranking Methods.
Proceedings of the Preference Learning., 2010

Dimension Reduction for Object Ranking.
Proceedings of the Preference Learning., 2010

2009
Efficient Clustering for Orders.
Proceedings of the Mining Complex Data, 2009

TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative Tagging.
Proceedings of the ICDM 2009, 2009

2006
Supervised ordering by regression combined with Thurstone's model.
Artif. Intell. Rev., 2006

Efficient Clustering for Orders.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Dimension Reduction for Supervised Ordering.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Supervised Ordering - An Empirical Survey.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Filling-in Missing Objects in Orders.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Estimating Attributed Central Orders: An Empirical Comparison.
Proceedings of the Machine Learning: ECML 2004, 2004

2003
Learning from Cluster Examples.
Mach. Learn., 2003

Nantonac collaborative filtering: recommendation based on order responses.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Clustering Orders.
Proceedings of the Discovery Science, 6th International Conference, 2003

2002
Learning from Order Examples.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002


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