| 2026 | AAAI | Sparse Additive Model Pruning for Order-Based Causal Structure Learning. | Kentaro Kanamori, Hirofumi Suzuki, Takuya Takagi |
| 2026 | AAAI | I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables. | Hirofumi Suzuki, Kentaro Kanamori, Takuya Takagi, Thong Pham, Takashi Nicholas Maeda, Shohei Shimizu |
| 2025 | ICML | Algorithmic Recourse for Long-Term Improvement. | Kentaro Kanamori, Ken Kobayashi, Satoshi Hara, Takuya Takagi |
| 2024 | ICML | Learning Decision Trees and Forests with Algorithmic Recourse. | Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike |
| 2024 | PRICAI | Distribution-Aligned Sequential Counterfactual Explanation with Local Outlier Factor. | Shoki Yamao, Ken Kobayashi, Kentaro Kanamori, Takuya Takagi, Yuichi Ike, Kazuhide Nakata |
| 2023 | ICDM | Rule Mining for Correcting Classification Models. | Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Yuta Fujishige, Satoshi Hara |
| 2022 | AAAI | Explainable and Local Correction of Classification Models Using Decision Trees. | Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara |
| 2022 | AISTATS | Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees. | Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike |
| 2021 | AAAI | Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. | Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura |
| 2020 | IJCAI | DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization. | Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura |
| 2019 | CPM | Online Algorithms for Constructing Linear-Size Suffix Trie. | Diptarama Hendrian, Takuya Takagi, Shunsuke Inenaga |
| 2019 | DCC | MR-RePair: Grammar Compression Based on Maximal Repeats. | Isamu Furuya, Takuya Takagi, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Takuya Kida |
| 2019 | IUI | Requirements for Explainable Smart Systems in the Enterprises from Users and Society Based on FAT. | Yuri Nakao, Junichi Shigezumi, Hikaru Yokono, Takuya Takagi |
| 2018 | SPIRE | Truncated DAWGs and Their Application to Minimal Absent Word Problem. | Yuta Fujishige, Takuya Takagi, Diptarama Hendrian |
| 2017 | SPIRE | Linear-Size CDAWG: New Repetition-Aware Indexing and Grammar Compression. | Takuya Takagi, Keisuke Goto, Yuta Fujishige, Shunsuke Inenaga, Hiroki Arimura |
| 2016 | CPM | Fully-online Construction of Suffix Trees for Multiple Texts. | Takuya Takagi, Shunsuke Inenaga, Hiroki Arimura |
| 2016 | IWOCA | Packed Compact Tries: A Fast and Efficient Data Structure for Online String Processing. | Takuya Takagi, Shunsuke Inenaga, Kunihiko Sadakane, Hiroki Arimura |