Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction. - Vo Nguyen Le Duy; Takuto Sakuma; Taiju Ishiyama; Hiroki Toda; Kazuya Arai; Masayuki Karasuyama; Yuta Okubo; Masayuki Sunaga; Yasuo Tabei; Ichiro Takeuchi (SIGSPATIAL/GIS, 2019)

Statistically Discriminative Sub-trajectory Mining. - Vo Nguyen Le Duy; Takuto Sakuma; Taiju Ishiyama; Hiroki Toda; Kazuya Nishi; Masayuki Karasuyama; Yuta Okubo; Masayuki Sunaga; Yasuo Tabei; Ichiro Takeuchi (CoRR, 2019)

An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries. - Matteo Manica; Christoph Auer; Valéry Weber; Federico Zipoli; Michele Dolfi; Peter W. J. Staar; Teodoro Laino; Costas Bekas; Akihiro Fujita; Hiroki Toda; Shuichi Hirose; Yasumitsu Orii (CoRR, 2019)

Molecular Inverse-Design Platform for Material Industries. - Seiji Takeda; Toshiyuki Hama; Hsiang-Han Hsu; Victoria A. Piunova; Dmitry Zubarev; Daniel P. Sanders 002; Jed W. Pitera; Makoto Kogoh; Takumi Hongo; Yenwei Cheng; Wolf Bocanett; Hideaki Nakashika; et al. (KDD, 2020)

Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming. - Vo Nguyen Le Duy; Hiroki Toda; Ryota Sugiyama; Ichiro Takeuchi (NeurIPS, 2020)

Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference. - Ryota Sugiyama; Hiroki Toda; Vo Nguyen Le Duy; Yu Inatsu; Ichiro Takeuchi (CoRR, 2021)

Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction. - Vo Nguyen Le Duy; Takuto Sakuma; Taiju Ishiyama; Hiroki Toda; Kazuya Arai; Masayuki Karasuyama; Yuta Okubo; Masayuki Sunaga; Hiroyuki Hanada; Yasuo Tabei; Ichiro Takeuchi (IEEE Trans. Knowl. Data Eng., 2022)