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Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data


Aug 05, 2022
Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida

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* 14 pages, 8 figures, accepted at MIUA 2022 

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Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels


Nov 06, 2021
Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida

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* Accepted by MICCAI 2021 

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Meta-learning of Pooling Layers for Character Recognition


Mar 17, 2021
Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi

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* 16 pages, 9 figures 

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Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization


Feb 26, 2021
Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida

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* Accepted at ICASSP2021 

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Handwriting Prediction Considering Inter-Class Bifurcation Structures


Sep 27, 2020
Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida

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* Accepted at ICFHR2020 

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Regularized Pooling


May 06, 2020
Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida

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SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model


Nov 14, 2019
Hideaki Hayashi, Seiichi Uchida

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A Neural Network Based on the Johnson $S_\mathrm{U}$ Translation System and Related Application to Electromyogram Classification


Nov 14, 2019
Hideaki Hayashi, Taro Shibanoki, Toshio Tsuji

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A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis


Nov 14, 2019
Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, Toshio Tsuji

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* IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No.12, pp. 3021-3033, 2015 
* Published in IEEE Transactions on Neural Networks and Learning Systems 

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Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders


Jun 14, 2019
Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida

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* to appear at the International Conference on Document Analysis and Recognition (ICDAR) 2019 

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