| DACE: Distribution-aware counterfactual explanation by mixed-integer linear optimization. K Kanamori, T Takagi, K Kobayashi, H Arimura IJCAI, 2855-2862, 2020 | 208 | 2020 |
| Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor R Tamura, K Kobayashi, Y Takano, R Miyashiro, K Nakata, T Matsui Journal of Global Optimization 73 (2), 431-446, 2019 | 164 | 2019 |
| Best subset selection for eliminating multicollinearity R Tamura, K Kobayashi, Y Takano, R Miyashiro, K Nakata, T Matsui Journal of the Operations Research Society of Japan 60 (3), 321-336, 2017 | 70 | 2017 |
| 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 |
| Topological data analysis (TDA) enhances bispectral EEG (BSEEG) algorithm for detection of delirium T Yamanashi, M Kajitani, M Iwata, KJ Crutchley, P Marra, JR Malicoat, ... Scientific reports 11 (1), 304, 2021 | 42 | 2021 |
| Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization K Kobayashi, Y Takano, K Nakata Journal of Global Optimization, 1-36, 2021 | 35 | 2021 |
| A branch-and-cut algorithm for solving mixed-integer semidefinite optimization problems K Kobayashi, Y Takano Computational Optimization and Applications, 1-21, 2019 | 35 | 2019 |
| Evaluation of point-of-care thumb-size bispectral electroencephalography device to quantify delirium severity and predict mortality T Yamanashi, KJ Crutchley, NE Wahba, EJ Sullivan, M Kajitani, T Tran, ... The British Journal of Psychiatry 220 (6), 322-329, 2022 | 31 | 2022 |
| Cardinality-constrained distributionally robust portfolio optimization K Kobayashi, Y Takano, K Nakata European Journal of Operational Research 309 (3), 1173-1182, 2023 | 28 | 2023 |
| Bézier simplex fitting: Describing Pareto fronts of simplicial problems with small samples in multi-objective optimization K Kobayashi, N Hamada, A Sannai, A Tanaka, K Bannai, M Sugiyama Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2304-2313, 2019 | 23 | 2019 |
| Towards assessing and benchmarking risk-return tradeoff of off-policy evaluation H Kiyohara, R Kishimoto, K Kawakami, K Kobayashi, K Nakata, Y Saito arXiv preprint arXiv:2311.18207, 2023 | 17 | 2023 |
| Prediction of hierarchical time series using structured regularization and its application to artificial neural networks T Shiratori, K Kobayashi, Y Takano Plos one 15 (11), e0242099, 2020 | 17 | 2020 |
| Asymptotic risk of Bézier simplex fitting A Tanaka, A Sannai, K Kobayashi, N Hamada Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2416-2424, 2020 | 9 | 2020 |
| 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 |
| Scope-rl: A python library for offline reinforcement learning and off-policy evaluation H Kiyohara, R Kishimoto, K Kawakami, K Kobayashi, K Nakata, Y Saito arXiv preprint arXiv:2311.18206, 2023 | 6 | 2023 |
| Learning decision trees and forests with algorithmic recourse K Kanamori, T Takagi, K Kobayashi, Y Ike arXiv preprint arXiv:2406.01098, 2024 | 5 | 2024 |
| Algorithmic recourse with missing values K Kanamori, T Takagi, K Kobayashi, Y Ike arXiv preprint arXiv:2304.14606, 2023 | 5* | 2023 |
| Automatic neural network search method for open set recognition L Sun, X Yu, L Wang, J Sun, H Inakoshi, K Kobayashi, H Kobashi 2019 IEEE International Conference on Image Processing (ICIP), 4090-4094, 2019 | 4 | 2019 |
| 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 |
Kazuhide NakataTokyo Institute of TechnologyVerified email at m.titech.ac.jp
