Hayashi Hideaki 早志英朗

Researcher Number	00790015
Affiliation (Current)	2025: 大阪大学, D3センター, 准教授
Affiliation (based on the past Project Information) *help	2022 – 2024: 大阪大学, データビリティフロンティア機構, 准教授 2017 – 2021: 九州大学, システム情報科学研究院, 助教
Review Section/Research Field	Principal Investigator Basic Section 61040:Soft computing-related / Soft computing
Keywords	Principal Investigator ニューラルネットワーク / 機械学習 / 深層学習 / Active learning / ベイズ深層学習 / ベイズ推論 / 希少データ / ベイズ推定 / 予測 / 時系列信号 … More / 時系列 / 時系列解析 / パターン認識 / 生体信号解析 / 生体信号 / 確率モデル / 時系列予測 Less

Generalized deep unfolding and its application to ambiguous domain knowledge modelingPrincipal Investigator
- Principal Investigator
  
  早志英朗
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Osaka University
Knowledge-embedded Bayesian deep learning and its application to small data analysisPrincipal Investigator
- Principal Investigator
  
  Hayashi Hideaki
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Osaka University
  Kyushu University
Probabilistic model-based time-series forecasting neural networks and related applications to biosignal forecastingPrincipal Investigator
- Principal Investigator
  
  Hayashi Hideaki
- Project Period (FY)
  2017 – 2020
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Soft computing
- Research Institution
  Kyushu University

All 2024 2023 2022 2021 2020 2019 2018 2017

All Journal Article Presentation Book

[Book] Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection. In Neural Approaches to Dynamics of Signal Exchanges, (Eds. by A. Esposito, M. Faundez-Zanuy, F.C. Morabito, and E. Pasero)2020
- Author(s)
  Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, and Hideaki Hayashi
- Total Pages
  521
- Publisher
  Springer
- ISBN
  9789811389504
- Data Source
  KAKENHI-PROJECT-17K12752
[Journal Article] A Hybrid of Generative and Discriminative Models Based on the Gaussian-Coupled Softmax Layer2024
- Author(s)
  Hayashi Hideaki
- Journal Title
  
  IEEE Transactions on Neural Networks and Learning Systems
  
  Volume: - Issue: 2 Pages: 2894-2904
- DOI
  10.1109/tnnls.2024.3358113
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H03511
[Journal Article] Human-Machine Interfaces Based on Bioelectric Signals: A Narrative Review with a Novel System Proposal2022
- Author(s)
  Hayashi Hideaki、Tsuji Toshio
- Journal Title
  
  IEEJ Transactions on Electrical and Electronic Engineering
  
  Volume: 17 Issue: 11 Pages: 1536-1544
- DOI
  10.1002/tee.23646
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21H03511
[Journal Article] A Neural Network Based on the Johnson SU Translation System and Related Application to Electromyogram Classification2021
- Author(s)
  Hayashi Hideaki, Shibanoki Taro, Tsuji Toshio
- Journal Title
  
  IEEE Access
  
  Volume: 9 Pages: 154304-154317
- DOI
  10.1109/access.2021.3126348
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21H03511
[Journal Article] Markerless Measurement and Evaluation of General Movements in Infants Scientific Reports2020
- Author(s)
  Toshio Tsuji, Shota Nakashima, Hideaki Hayashi, Zu Soh, Akira Furui, Taro Shibanoki, Keisuke Shima, Koji Shimatani
- Journal Title
  
  Scientific Reports
  
  Volume: 10 Issue: 1 Pages: 1422-1422
- DOI
  10.1038/s41598-020-57580-z
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K12752
[Journal Article] Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection2019
- Author(s)
  Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
- Journal Title
  
  IEEE Access
  
  Volume: 7 Pages: 156966-156977
- DOI
  10.1109/access.2019.2947606
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12752
[Journal Article] GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks2019
- Author(s)
  Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida
- Journal Title
  
  Knowledge-Based Systems
  
  Volume: 186 Pages: 104927-104927
- DOI
  10.1016/j.knosys.2019.104927
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K12752, KAKENHI-PROJECT-17H06100
[Journal Article] A Scale Mixture-based Stochastic Model of Surface EMG Signals with Variable Variances2019
- Author(s)
  Akira Furui, Hideaki Hayashi, and Toshio Tsuji
- Journal Title
  
  IEEE Transactions on Biomedical Engineering
  
  Volume: 印刷中 Issue: 10 Pages: 2780-2788
- DOI
  10.1109/tbme.2019.2895683
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18J22370, KAKENHI-PROJECT-17K12752
[Journal Article] Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks2019
- Author(s)
  Shota Harada, Hideaki Hayashi, Seiichi Uchida
- Journal Title
  
  IEEE Access
  
  Volume: 7 Pages: 144292-144302
- DOI
  10.1109/access.2019.2934928
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting2024
- Author(s)
  Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
- Organizer
  International Conference on Automatic Face and Gesture Recognition (FG 2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H03511
[Presentation] MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition2024
- Author(s)
  Ryosuke Kawamura, Hideaki Hayashi, Noriko Takemura, Hajime Nagahara
- Organizer
  Winter Conference on Applications of Computer Vision (WACV 2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H03511
[Presentation] Pseudo-Label Learning with Calibrated Confidence Using an Energy-Based Model2024
- Author(s)
  Masahito Toba, Seiichi Uchida, Hideaki Hayashi
- Organizer
  IEEE World Congress on Computational Intelligence (WCCI 2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H03511
[Presentation] ランキングと分類による疾病重症度の推定2023
- Author(s)
  宝満竜一, 内田誠一, 田中聖人, 早志英朗
- Organizer
  電気・情報関係学会九州支部連合大会
- Data Source
  KAKENHI-PROJECT-21H03511
[Presentation] Energy-based modelを用いた信頼度較正と疑似ラベル学習への応用2023
- Author(s)
  鳥羽真仁, 内田誠一, 早志英朗
- Organizer
  画像の認識・理解シンポジウム
- Data Source
  KAKENHI-PROJECT-21H03511
[Presentation] Analyzing Font Style Usage and Contextual Factors in Real Images2023
- Author(s)
  Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida
- Organizer
  International Conference on Document Analysis and Recognition (ICDAR 2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H03511
[Presentation] Energy-Based Modelに基づく識別器の信頼度較正2022
- Author(s)
  鳥羽真仁, 内田誠一, 早志英朗
- Organizer
  電気・情報関係学会九州支部連合大会
- Data Source
  KAKENHI-PROJECT-21H03511
[Presentation] Deep Bayesian Active Learning to Rank for Endoscopic Image Data2022
- Author(s)
  Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, and Seiichi Uchida
- Organizer
  The 26th UK Conference on Medical Image Understanding and Analysis (MIUA2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H03511
[Presentation] Combining Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer2022
- Author(s)
  Hideaki Hayashi
- Organizer
  画像の認識・理解シンポジウム (MIRU)
- Data Source
  KAKENHI-PROJECT-21H03511
[Presentation] Meta-learning of Pooling Layers for Few-shot Recognition2021
- Author(s)
  Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi
- Organizer
  画像の認識・理解シンポジウム (MIRU)
- Data Source
  KAKENHI-PROJECT-21H03511
[Presentation] A Discriminative Gaussian Mixture Model with Sparsity2021
- Author(s)
  Hideaki Hayashi and Seiichi Uchida
- Organizer
  International Conference on Learning Representations (ICLR 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization2021
- Author(s)
  Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida
- Organizer
  International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] Handwriting Prediction Considering Inter-Class Bifurcation Structures2020
- Author(s)
  Masaki Yamagata, Hideaki Hayashi, and Seiichi Uchida
- Organizer
  International Conference on Frontiers of Handwriting Recognition (ICFHR 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] 単位初期化による深層パーセプトロン学習：ヤコビ行列を用いた誤差逆伝播に関する考察2020
- Author(s)
  久保田祥平，早志英朗，早瀬友裕，内田誠一
- Organizer
  画像の認識・理解シンポジウム (MIRU)
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] Class-Guided Handwriting Prediction with Uncertainty2020
- Author(s)
  Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida
- Organizer
  画像の認識・理解シンポジウム (MIRU)
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] Regularized Pooling2020
- Author(s)
  Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida
- Organizer
  International Conference on Artificial Neural Networks (ICANN 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] 識別・生成のハイブリッドモデルと弱教師あり学習への応用2020
- Author(s)
  早志英朗，内田誠一
- Organizer
  画像の認識・理解シンポジウム (MIRU)
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] 深層パーセプトロンの単位初期化に基づく中間層の貢献度と尤度の解析2020
- Author(s)
  久保田祥平，早志英朗，早瀬友裕，内田誠一
- Organizer
  電子情報通信学会技術研究報告
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] クラスの存在を利用した時系列予測とその手書きパターンへの応用2020
- Author(s)
  山縣将貴，早志英朗，内田誠一
- Organizer
  電子情報通信学会技術研究報告
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] 正則化プーリング2020
- Author(s)
  緒續隆人，早志英朗，Zheng Yuchen，内田誠一
- Organizer
  電子情報通信学会技術研究報告
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] 識別と生成のハイブリッドニューラルネットワーク2020
- Author(s)
  早志英朗，内田誠一
- Organizer
  パターン認識・メディア理解研究会
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders2019
- Author(s)
  Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, and Seiichi Uchida
- Organizer
  The 15th International Conference on Document Analysis and Recognition (ICDAR 2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] Page Segmentation using a Convolutional Neural Network with Trainable Co-occurrence Features2019
- Author(s)
  Joonho Lee, Hideaki Hayashi, Wataru Ohyama, and Seiichi Uchida
- Organizer
  The 15th International Conference on Document Analysis and Recognition (ICDAR 2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming2019
- Author(s)
  Shota Harada, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Qier Meng, and Seiichi Uchida
- Organizer
  The 41st International Engineering in Medicine and Biology Conference (EMBC2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] Cardiotocogramの識別に基づく胎児の状態推定2019
- Author(s)
  原田翔太, 早志英朗, 古賀俊介, 重見大介, 柴田綾子, 吉田昌義, 蓮尾泰之, 内田誠一
- Organizer
  医用画像研究会
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] Efficient Soft-Constrained Clustering for Group-Based Labeling2019
- Author(s)
  Ryoma Bise, Kentaro Abe, Hideaki Hayashi, Kiyohito Tanaka, and Seiichi Uchida
- Organizer
  The 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] A Trainable Multiplication Layer and its Applications2018
- Author(s)
  Hideaki Hayashi and Seiichi Uchida
- Organizer
  14th Joint Workshop on Machine Perception and Robotics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] Biosignal Data Augmentation Based on Generative Adversarial Networks2018
- Author(s)
  Shota Harada, Hideaki Hayashi, Seiichi Uchida
- Organizer
  The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] 混合正規分布に基づくニューラルネットワークのスパースベイズ学習2018
- Author(s)
  早志英朗，内田誠一
- Organizer
  パターン認識・メディア理解研究会
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction2018
- Author(s)
  Hideaki Hayashi and Seiichi Uchida
- Organizer
  14th Asian Conference on Computer Vision
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] A Trainable Multiplication Layer2018
- Author(s)
  Hideaki Hayashi and Seiichi Uchida
- Organizer
  画像の認識・理解シンポジウム
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] A Multiplication Layer for Sequence Data2018
- Author(s)
  Joonho Lee, Hideaki Hayashi, Seiichi Uchida
- Organizer
  電気・情報関係学会九州支部連合大会
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] A Probabilistic Model-based Neural Network2017
- Author(s)
  Hideaki Hayashi
- Organizer
  The 13th Joint Workshop on Machine Perception and Robotics (MPR 2017)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] A Time-series Discriminant Component Network2017
- Author(s)
  Hideaki Hayashi and Toshio Tsuji
- Organizer
  第20回画像の認識・理解シンポジウム (MIRU2017)
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] Johnson分布に基づくニューラルネットワーク2017
- Author(s)
  早志英朗，内田誠一，辻敏夫
- Organizer
  パターン認識・メディア理解研究会
- Data Source
  KAKENHI-PROJECT-17K12752
[Presentation] Generative Adversarial Networksに基づく生体信号生成2017
- Author(s)
  原田翔太，早志英朗，内田誠一
- Organizer
  電気・情報関係学会九州支部連合大会
- Data Source
  KAKENHI-PROJECT-17K12752

1. 古居彬 (30868237)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results

Hayashi Hideaki 早志 英朗

Research Projects

Research Products

Co-Researchers

Generalized deep unfolding and its application to ambiguous domain knowledge modelingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Knowledge-embedded Bayesian deep learning and its application to small data analysisPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Probabilistic model-based time-series forecasting neural networks and related applications to biosignal forecastingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Book] Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection. In Neural Approaches to Dynamics of Signal Exchanges, (Eds. by A. Esposito, M. Faundez-Zanuy, F.C. Morabito, and E. Pasero)2020

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] A Hybrid of Generative and Discriminative Models Based on the Gaussian-Coupled Softmax Layer2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Human-Machine Interfaces Based on Bioelectric Signals: A Narrative Review with a Novel System Proposal2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A Neural Network Based on the Johnson SU Translation System and Related Application to Electromyogram Classification2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Markerless Measurement and Evaluation of General Movements in Infants Scientific Reports2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A Scale Mixture-based Stochastic Model of Surface EMG Signals with Variable Variances2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks2019

Author(s)

Journal Title

DOI

Data Source

[Presentation] Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting2024

Author(s)

Organizer

Data Source

[Presentation] MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition2024

Author(s)

Organizer

Data Source

[Presentation] Pseudo-Label Learning with Calibrated Confidence Using an Energy-Based Model2024

Author(s)

Organizer

Data Source

Hayashi Hideaki 早志英朗