Feature Extraction Based on Generating Bayesian Network. - Kaneharu Nishino; Mary Inaba (ICONIP (4), 2015)

Bayesian AutoEncoder: Generation of Bayesian Networks with Hidden Nodes for Features. - Kaneharu Nishino; Mary Inaba (AAAI, 2016)

Constructing Hierarchical Bayesian Networks With Pooling. - Kaneharu Nishino; Mary Inaba (AAAI, 2018)

Toward Shareable Multi-abstraction-level Feature Extractor Based on a Bayesian Network. - Kaneharu Nishino; Hiroshi Tezuka; Mary Inaba (CORES, 2019)

Lag-Aware Multivariate Time-Series Segmentation. - Shigeru Maya; Akihiro Yamaguchi; Kaneharu Nishino; Ken Ueno (SDM, 2020)

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)

Residual Signature Analysis for Wind Turbine Failure Prognosis. - Topon Kumar Paul; Vidhisha Reddy; Sai Prem Kumar Ayyagari; Kaneharu Nishino (ISGT EUROPE, 2023)

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)

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)