| 2023 | AAAI | Prospects of Continual Causality for Industrial Applications. | Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu |
| 2022 | AISTATS | Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference. | Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani |
| 2021 | KDD | Estimating individual-level optimal causal interventions combining causal models and machine learning models. | Keisuke Kiritoshi, Tomonori Izumitani, Kazuki Koyama, Tomomi Okawachi, Keisuke Asahara, Shohei Shimizu |
| 2019 | CVPR | L1-Norm Gradient Penalty for Noise Reduction of Attribution Maps. | Keisuke Kiritoshi, Ryosuke Tanno, Tomonori Izumitani |
| 2019 | ICDM | Discovering Sparse and Ununiform Lag Structure Using VAR Models with Latent Group LASSO. | Kazuki Koyama, Keisuke Kiritoshi, Tomonori Izumitani |
| 2016 | DEXA | Abstract-Concrete Relationship Analysis of News Events Based on a 5W Representation Model. | Shintaro Horie, Keisuke Kiritoshi, Qiang Ma |
| 2015 | DEXA | A Diversity-Seeking Mobile News App Based on Difference Analysis of News Articles. | Keisuke Kiritoshi, Qiang Ma |
| 2014 | DEXA | Named Entity Oriented Related News Ranking. | Keisuke Kiritoshi, Qiang Ma |