Hideaki Ishibashi

21 papers A 2Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
An (ε ,δ )-Accurate Level Set Estimation with a Stopping Criterion.
ECML/PKDD (2)
Hideaki Ishibashi, Kota Matsui, Kentaro Kutsukake, Hideitsu Hino
2025 J jnl
An (ε,δ)-accurate level set estimation with a stopping criterion.
CoRR
Hideaki Ishibashi, Kota Matsui, Kentaro Kutsukake, Hideitsu Hino
2023 A conf
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets.
AISTATS
Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino
2023 J jnl
ATNAS: Automatic Termination for Neural Architecture Search.
Neural Networks
Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, Hideitsu Hino
2022 — conf
Low-rank kernel decomposition for scalable manifold modeling.
SCIS/ISIS
Kazuki Miyazaki, Shuhei Takano, Ryo Tsuno, Hideaki Ishibashi, Tetsuo Furukawa
2022 J jnl
Multi-task manifold learning for small sample size datasets.
Neurocomputing
Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa
2022 J jnl
Principal Component Analysis for Gaussian Process Posteriors.
Neural Comput.
Hideaki Ishibashi, Shotaro Akaho
2022 J jnl
Visual analytics of set data for knowledge discovery and member selection support.
Decis. Support Syst.
Ryuji Watanabe, Hideaki Ishibashi, Tetsuo Furukawa
2021 J jnl
Multi-task manifold learning for small sample size datasets.
CoRR
Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa
2021 J jnl
Principal component analysis for Gaussian process posteriors.
CoRR
Hideaki Ishibashi, Shotaro Akaho
2021 J jnl
Stopping Criterion for Active Learning Based on Error Stability.
CoRR
Hideaki Ishibashi, Hideitsu Hino
2021 J jnl
Visual analytics of set data for knowledge discovery and member selection support.
CoRR
Ryuji Watanabe, Hideaki Ishibashi, Tetsuo Furukawa
2020 A conf
Stopping criterion for active learning based on deterministic generalization bounds.
AISTATS
Hideaki Ishibashi, Hideitsu Hino
2020 J jnl
Stopping criterion for active learning based on deterministic generalization bounds.
CoRR
Hideaki Ishibashi, Hideitsu Hino
2018 J jnl
Hierarchical Tensor Manifold Modeling for Multi-Group Analysis.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Hideaki Ishibashi, Masayoshi Era, Tetsuo Furukawa
2018 J jnl
Hierarchical Tensor SOM Network for Multilevel-Multigroup Analysis.
Neural Process. Lett.
Hideaki Ishibashi, Tetsuo Furukawa
2018 — conf
Multi-task Manifold Learning Using Hierarchical Modeling for Insufficient Samples.
ICONIP (3)
Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa
2018 — conf
Visualization Method of Viewpoints Latent in a Dataset.
ICONIP (3)
Hideaki Ishibashi
2016 — conf
Multilevel-Multigroup Analysis Using a Hierarchical Tensor SOM Network.
ICONIP (3)
Hideaki Ishibashi, Ryota Shinriki, Hirohisa Isogai, Tetsuo Furukawa
2016 — conf
Self-Organizing Maps for Multi-system and Multi-view Datasets.
SCIS&ISIS
Hideaki Ishibashi, Tetsuo Furukawa
2014 J jnl
Effective Connectivity Maps in the Swine Somatosensory Cortex Estimated from Electrocorticography and Validated with Intracortical Local Field Potential Measurements.
Brain Connect.
Masato Tanosaki, Hideaki Ishibashi, Tongsheng Zhang, Yoshio Okada