Hideaki Hayashi

According to our database1, Hideaki Hayashi authored at least 34 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Soft and self constrained clustering for group-based labeling.
Medical Image Anal., 2021

A Neural Network Based on the Johnson S<sub>U</sub> Translation System and Related Application to Electromyogram Classification.
IEEE Access, 2021

Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Discriminative Gaussian Mixture Model with Sparsity.
Proceedings of the 9th International Conference on Learning Representations, 2021

Meta-learning of Pooling Layers for Character Recognition.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Layer-Wise Interpretation of Deep Neural Networks using Identity Initialization.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Infinite Brain MR Images: PGGAN-Based Data Augmentation for Tumor Detection.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Handwriting Prediction Considering Inter-Class Bifurcation Structures.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

Regularized Pooling.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
A Scale Mixture-Based Stochastic Model of Surface EMG Signals With Variable Variances.
IEEE Trans. Biomed. Eng., 2019

GlyphGAN: Style-consistent font generation based on generative adversarial networks.
Knowl. Based Syst., 2019

SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model.
CoRR, 2019

ProbAct: A Probabilistic Activation Function for Deep Neural Networks.
CoRR, 2019

Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection.
CoRR, 2019

Biosignal Generation and Latent Variable Analysis With Recurrent Generative Adversarial Networks.
IEEE Access, 2019

Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection.
IEEE Access, 2019

Efficient Soft-Constrained Clustering for Group-Based Labeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Page Segmentation using a Convolutional Neural Network with Trainable Co-Occurrence Features.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
GAN-based synthetic brain MR image generation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Biosignal Data Augmentation Based on Generative Adversarial Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
A Variance Distribution Model of Surface EMG Signals Based on Inverse Gamma Distribution.
IEEE Trans. Biomed. Eng., 2017

Globally Optimal Object Tracking with Complementary Use of Single Shot Multibox Detector and Fully Convolutional Network.
Proceedings of the Image and Video Technology - 8th Pacific-Rim Symposium, 2017

Variance distribution analysis of surface EMG signals based on marginal maximum likelihood estimation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2015

A neural network based infant monitoring system to facilitate diagnosis of epileptic seizures.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A non-Gaussian approach for biosignal classification based on the Johnson SU translation system.
Proceedings of the IEEE 8th International Workshop on Computational Intelligence and Applications, 2015

2013
Regeneration of diesel particulate filter using sliding discharge.
Proceedings of the 2013 IEEE Industry Applications Society Annual Meeting, 2013

Bioelectric signal classification using a recurrent probabilistic neural network with time-series discriminant component analysis.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2010
Collection of Diesel Exhaust Particle Using Gradient Force.
Proceedings of the Annual Meeting of the IEEE Industry Applications Society, 2010

2009
Electrostatic Charging and Precipitation of Diesel Soot.
Proceedings of the Annual Meeting of the IEEE Industry Applications Society, 2009

2008
Electrostatic Precipitators for Cleaning Diesel Exhaust.
Proceedings of the Industry Applications Society Annual Meeting, 2008


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