Enumeration of Distinct Support Vectors for Interactive Decision Making. - Kentaro Kanamori; Satoshi Hara 001; Masakazu Ishihata; Hiroki Arimura (CoRR, 2019)

DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization. - Kentaro Kanamori; Takuya Takagi; Ken Kobayashi; Hiroki Arimura (IJCAI, 2020)

Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. - Kentaro Kanamori; Takuya Takagi; Ken Kobayashi; Yuichi Ike; Kento Uemura; Hiroki Arimura (AAAI, 2021)

Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees. - Kentaro Kanamori; Takuya Takagi; Ken Kobayashi; Yuichi Ike (AISTATS, 2022)

Computing the Collection of Good Models for Rule Lists. - Kota Mata; Kentaro Kanamori; Hiroki Arimura (CoRR, 2022)

Learning Locally Interpretable Rule Ensemble. - Kentaro Kanamori (ECML/PKDD (3), 2023)

Counterfactual Explanation with Missing Values. - Kentaro Kanamori; Takuya Takagi; Ken Kobayashi; Yuichi Ike (CoRR, 2023)

Subgrouping Causal Networks of Disease Onset in Large-scale Health and Medical Data using Supercomputer Fugaku. - Taisei Tosaki; Eiichiro Uchino; Yohei Harada; Minoru Sakuragi; Yusuke Koyanagi; Seiji Okajima; Hirofumi Suzuki; Kentaro Kanamori; Masahiro Asaoka; Kouji Kurihara; Takuya Takagi; Koji Maruhashi; et al. (BIBM, 2024)

Learning Decision Trees and Forests with Algorithmic Recourse. - Kentaro Kanamori; Takuya Takagi; Ken Kobayashi; Yuichi Ike (ICML, 2024)

Distribution-Aligned Sequential Counterfactual Explanation with Local Outlier Factor. - Shoki Yamao; Ken Kobayashi; Kentaro Kanamori; Takuya Takagi; Yuichi Ike; Kazuhide Nakata (PRICAI (1), 2024)