| DACE: Distribution-aware counterfactual explanation by mixed-integer linear optimization. K Kanamori, T Takagi, K Kobayashi, H Arimura IJCAI, 2855-2862, 2020 | 208 | 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 | 65 | 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 | 53 | 2022 |
| Computing the collection of good models for rule lists K Mata, K Kanamori, H Arimura arXiv preprint arXiv:2204.11285, 2022 | 17 | 2022 |
| 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 | 8 | 2021 |
| 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 | 8 | 2021 |
| Learning Decision Trees and Forests with Algorithmic Recourse K Kanamori, T Takagi, K Kobayashi, Y Ike International Conference on Machine Learning, 22936-22962, 2024 | 5 | 2024 |
| Counterfactual explanation with missing values K Kanamori, T Takagi, K Kobayashi, Y Ike arXiv 2304, 2023 | 4 | 2023 |
| Distribution-Aligned Sequential Counterfactual Explanation with Local Outlier Factor S Yamao, K Kobayashi, K Kanamori, T Takagi, Y Ike, K Nakata Pacific Rim International Conference on Artificial Intelligence, 243-256, 2024 | 3 | 2024 |
| Algorithmic Recourse for Long-Term Improvement K Kanamori, K Kobayashi, S Hara, T Takagi Forty-second International Conference on Machine Learning, 0 | 2 | |
| Learning Locally Interpretable Rule Ensemble K Kanamori Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 1 | 2023 |
| Algorithmic recourse with missing values K Kanamori, T Takagi, K Kobayashi, Y Ike arXiv preprint arXiv:2304.14606, 2023 | 1 | 2023 |
| 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 |
| Recording medium, training method of machine learning model, and training apparatus of machine learning model K KANAMORI, T Takagi US Patent App. 19/243,088, 2026 | | 2026 |
| Recording medium, information processing method, and information processing device T Takagi, K KANAMORI US Patent App. 19/196,220, 2025 | | 2025 |
| Computer-readable recording medium having stored therein evaluation program, evaluation method, and information processing apparatus K KANAMORI, T Takagi US Patent App. 19/263,577, 2025 | | 2025 |
| Subgrouping Causal Networks of Disease Onset in Large-scale Health and Medical Data using Supercomputer Fugaku T Tosaki, E Uchino, Y Harada, M Sakuragi, Y Koyanagi, S Okajima, ... 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
| 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 |
Takuya TakagiFujitsu LaboratoriesVerified email at fujitsu.com
