A proposal for improvement of genotyping performance for ethnically homogeneous population using DNA microarray. - Arika Fukushima; Topon Kumar Paul; Ryusei Shingaki; Takashi Koiso; Shinya Umeno; Ken Ueno (EMBC, 2015)

Forecasting of Reservoir Inflow by the Combination of Deep Learning and Conventional Machine Learning. - Topon Kumar Paul; Sreeharsha Raghavendra; Ken Ueno; Fang Ni; Hiromasa Shin; Kaneharu Nishino; Ryusei Shingaki (ICDM (Workshops), 2021)

Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information. - Ryusei Shingaki; Manabu Kuroki (NeurIPS, 2021)

Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance. - Yuta Kawakami; Ryusei Shingaki; Manabu Kuroki (AAAI, 2023)

Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information. - Ryusei Shingaki; Manabu Kuroki (AAAI, 2023)

Identification and Estimation of "Causes of Effects" using Covariate-Mediator Information. - Ryusei Shingaki; Manabu Kuroki (AISTATS, 2024)

Learning Counterfactual Explanations with Intervals for Time-series Classification. - Akihiro Yamaguchi; Ken Ueno; Ryusei Shingaki; Hisashi Kashima (CIKM, 2024)

Forecasting of Low Visibility Using Weather and Air Quality Data for Safe and Smooth Transportation Operation. - Topon Kumar Paul; Vidhisha Reddy; Sai Prem Kumar Ayyagari; Ryusei Shingaki; Kaneharu Nishino (ICMLA, 2024)

New Proportion Measures of Discrimination Based on Natural Direct and Indirect Effects. - Ryusei Shingaki; Manabu Kuroki (ISAIM, 2024)

Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis. - Hiroshi Yokoyama; Ryusei Shingaki; Kaneharu Nishino; Shohei Shimizu; Thong Pham (CoRR, 2024)