Kaneharu Nishino

11 papers A* 2A 1B 1C 1Journal 1Unranked 5
YearRankTypeTitle / Venue / Authors
2025 B conf
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis.
IJCNN
Hiroshi Yokoyama, Ryusei Shingaki, Kaneharu Nishino, Shohei Shimizu, Thong Pham
2025 — conf
Low Visibility Forecasting Using Numerical Weather Prediction Data.
ECML/PKDD (10)
Topon Kumar Paul, Vidhisha Reddy, Sai Prem Kumar Ayyagari, Ryusei Shingaki, Kaneharu Nishino, Yoshiaki Shiga
2024 J jnl
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis.
CoRR
Hiroshi Yokoyama, Ryusei Shingaki, Kaneharu Nishino, Shohei Shimizu, Thong Pham
2024 C conf
Forecasting of Low Visibility Using Weather and Air Quality Data for Safe and Smooth Transportation Operation.
ICMLA
Topon Kumar Paul, Vidhisha Reddy, Sai Prem Kumar Ayyagari, Ryusei Shingaki, Kaneharu Nishino
2023 — conf
Residual Signature Analysis for Wind Turbine Failure Prognosis.
ISGT EUROPE
Topon Kumar Paul, Vidhisha Reddy, Sai Prem Kumar Ayyagari, Kaneharu Nishino
2021 — conf
Forecasting of Reservoir Inflow by the Combination of Deep Learning and Conventional Machine Learning.
ICDM (Workshops)
Topon Kumar Paul, Sreeharsha Raghavendra, Ken Ueno, Fang Ni, Hiromasa Shin, Kaneharu Nishino, Ryusei Shingaki
2020 A conf
Lag-Aware Multivariate Time-Series Segmentation.
SDM
Shigeru Maya, Akihiro Yamaguchi, Kaneharu Nishino, Ken Ueno
2019 — conf
Toward Shareable Multi-abstraction-level Feature Extractor Based on a Bayesian Network.
CORES
Kaneharu Nishino, Hiroshi Tezuka, Mary Inaba
2018 A* conf
Constructing Hierarchical Bayesian Networks With Pooling.
AAAI
Kaneharu Nishino, Mary Inaba
2016 A* conf
Bayesian AutoEncoder: Generation of Bayesian Networks with Hidden Nodes for Features.
AAAI
Kaneharu Nishino, Mary Inaba
2015 — conf
Feature Extraction Based on Generating Bayesian Network.
ICONIP (4)
Kaneharu Nishino, Mary Inaba