| DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization. K Kanamori, T Takagi, K Kobayashi, H Arimura IJCAI, 2855-2862, 2020 | 136 | 2020 |
| Ordered counterfactual explanation by mixed-integer linear optimization K Kanamori, T Takagi, K Kobayashi, Y Ike, K Uemura, H Arimura Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11564 …, 2021 | 41 | 2021 |
| Counterfactual explanation trees: Transparent and consistent actionable recourse with decision trees K Kanamori, T Takagi, K Kobayashi, Y Ike International Conference on Artificial Intelligence and Statistics, 1846-1870, 2022 | 28 | 2022 |
| Fairness-aware decision tree editing based on mixed-integer linear optimization K Kanamori, H Arimura Transactions of the Japanese Society for Artificial Intelligence 36 (4), B …, 2021 | 7 | 2021 |
| Computing the collection of good models for rule lists K Mata, K Kanamori, H Arimura arXiv preprint arXiv:2204.11285, 2022 | 6 | 2022 |
| Counterfactual explanation with missing values K Kanamori, T Takagi, K Kobayashi, Y Ike arXiv preprint arXiv:2304.14606, 2023 | 2 | 2023 |
| Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization K Kanamori, T Takagi, K Kobayashi, H Arimura Transactions of the Japanese Society for Artificial Intelligence 36 (6), C …, 2021 | 2 | 2021 |
| Enumeration of Distinct Support Vectors for Interactive Decision Making K Kanamori, S Hara, M Ishihata, H Arimura arXiv preprint arXiv:1906.01876, 2019 | 1 | 2019 |
| Learning Decision Trees and Forests with Algorithmic Recourse K Kanamori, T Takagi, K Kobayashi, Y Ike arXiv preprint arXiv:2406.01098, 2024 | | 2024 |
| Learning Locally Interpretable Rule Ensemble K Kanamori Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
| Recommendation method and information processing apparatus T Takagi, K Kobayashi, K Kanamori US Patent App. 18/089,574, 2023 | | 2023 |
| ÔYÔ SÛRI CY Sugitani, H Kodani, K Suetake, K Kanamori, T Takagi 応用数理 33 (4), 231, 2023 | | 2023 |
| Studies on Explainable Machine Learning Based on Integer Linear Optimization 金森憲太朗 北海道大学, 2022 | | 2022 |
| Enumeration of Distinct Support Vectors for Model Selection K Kanamori, S Hara, M Ishihata, H Arimura IEICE Technical Report; IEICE Tech. Rep. 118 (81), 81-88, 2018 | | 2018 |
Takuya TakagiFujitsu Laboratories在 fujitsu.com 的电子邮件经过验证
