Named Entity Oriented Related News Ranking. - Keisuke Kiritoshi; Qiang Ma 001 (DEXA (2), 2014)

A Diversity-Seeking Mobile News App Based on Difference Analysis of News Articles. - Keisuke Kiritoshi; Qiang Ma 001 (DEXA (2), 2015)

Abstract-Concrete Relationship Analysis of News Events Based on a 5W Representation Model. - Shintaro Horie; Keisuke Kiritoshi; Qiang Ma 001 (DEXA (2), 2016)

Named Entity Oriented Difference Analysis of News Articles and Its Application. - Keisuke Kiritoshi; Qiang Ma 001 (IEICE Trans. Inf. Syst., 2016)

L1-Norm Gradient Penalty for Noise Reduction of Attribution Maps. - Keisuke Kiritoshi; Ryosuke Tanno; Tomonori Izumitani (CVPR Workshops, 2019)

Discovering Sparse and Ununiform Lag Structure Using VAR Models with Latent Group LASSO. - Kazuki Koyama; Keisuke Kiritoshi; Tomonori Izumitani (ICDM Workshops, 2019)

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 (CD@KDD, 2021)

Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference. - Kazuki Koyama; Keisuke Kiritoshi; Tomomi Okawachi; Tomonori Izumitani (AISTATS, 2022)

Prospects of Continual Causality for Industrial Applications. - Daigo Fujiwara; Kazuki Koyama; Keisuke Kiritoshi; Tomomi Okawachi; Tomonori Izumitani; Shohei Shimizu (AAAI Bridge Program, 2023)

Causal Discovery for Non-stationary Non-linear Time Series Data Using Just-In-Time Modeling. - Daigo Fujiwara; Kazuki Koyama; Keisuke Kiritoshi; Tomomi Okawachi; Tomonori Izumitani; Shohei Shimizu (CLeaR, 2023)

Improving Accuracy of Anomaly Detection in Spatial-Temporal Population Data through SHAP Values of Reconstruction Errors. - Ryo Koyama; Tomohiro Mimura; Shin Ishiguro; Keisuke Kiritoshi; Takashi Suzuki; Akira Yamada 003 (STRL@IJCAI, 2024)