Hayaru Shouno

Orcid: 0000-0002-2412-0184

According to our database1, Hayaru Shouno authored at least 57 papers between 1995 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Keypoints-Integrated Instruction-Following Data Generation for Enhanced Human Pose Understanding in Multimodal Models.
CoRR, 2024

Circuit2Graph: Circuits With Graph Neural Networks.
IEEE Access, 2024

MAGRes-UNet: Improved Medical Image Segmentation Through a Deep Learning Paradigm of Multi-Attention Gated Residual U-Net.
IEEE Access, 2024

Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Exploring the role of texture features in deep convolutional neural networks: Insights from Portilla-Simoncelli statistics.
Neural Networks, November, 2023

Distorted image classification using neural activation pattern matching loss.
Neural Networks, October, 2023

Explainable Deep Learning Approach for Multi-Class Brain Magnetic Resonance Imaging Tumor Classification and Localization Using Gradient-Weighted Class Activation Mapping.
Inf., 2023

2022
Deep Feature Compression Using Spatio-Temporal Arrangement Toward Collaborative Intelligent World.
IEEE Trans. Circuits Syst. Video Technol., 2022

Improving sign-algorithm convergence rate using natural gradient for lossless audio compression.
EURASIP J. Audio Speech Music. Process., 2022

Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations.
IEEE Access, 2022

Adversarial Training with Knowledge Distillation Considering Intermediate Representations in CNNs.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Measuring Shift-Invariance of Convolutional Neural Network with a Probability-Incorporated Metric.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Knowledge Transferred Fine-Tuning for Anti-Aliased Convolutional Neural Network in Data-Limited Situation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Improving Convergence Rate of Sign Algorithm using Natural Gradient Method.
Proceedings of the 29th European Signal Processing Conference, 2021

Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Bayesian Sparse Covariance Structure Analysis for Correlated Count Data.
CoRR, 2020

Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields.
CoRR, 2020

Analysis of Texture Representation in Convolution Neural Network Using Wavelet Based Joint Statistics.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Fast Bayesian Restoration of Poisson Corrupted Images with INLA.
CoRR, 2019

B-DCGAN: Evaluation of Binarized DCGAN for FPGA.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Support Vector Machine Histogram: New Analysis and Architecture Design Method of Deep Convolutional Neural Network.
Neural Process. Lett., 2018

A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis.
CoRR, 2018

Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification-.
CoRR, 2018

Deep Learning Employed in the Recognition of the Vector that Spreads Dengue, Chikungunya and Zika Viruses.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

2017
Simultaneous Estimation of Nongaussian Components and Their Correlation Structure.
Neural Comput., 2017

A study on visual interpretation of network in network.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
An Architecture Design Method of Deep Convolutional Neural Network.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Group Dropout Inspired by Ensemble Learning.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Analysis of Dropout Learning Regarded as Ensemble Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Bayesian Image Restoration for Poisson Corrupted Image Using a Latent Variational Method with Gaussian MRF.
Inf. Media Technol., 2015

Analysis of function of rectified linear unit used in deep learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Deep convolutional network neocognitron: Improved Interpolating-Vector.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Transfer Learning Method with Deep Convolutional Neural Network for Diffuse Lung Disease Classification.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Correlated topographic analysis: estimating an ordering of correlated components.
Mach. Learn., 2013

2012
Topographic Analysis of Correlated Components.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

A Hierarchical Extension of the HOG Model Implemented in the Convolution-net for Human Detection.
Inf. Media Technol., 2012

Medical image processing and computer-aided detection/diagnosis (CAD).
Proceedings of the International Conference on Computerized Healthcare, 2012

2011
A Bayesian Hyperparameter Inference for Radon-Transformed Image Reconstruction.
Int. J. Biomed. Imaging, 2011

2010
Classification of Idiopathic Interstitial Pneumonia on High-resolution CT Images using Counter-propagation Network.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2010

A Hyper-parameter Inference for Radon Transformed Image Reconstruction Using Bayesian Inference.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

2009
Classification of patterns for diffuse lung diseases in thoracic CT images by AdaBoost algorithm.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2007
Analysis of Idiopathic interstitial Pneumonia by Self Organization Map on High-Resolution Computed Tomography Images.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2007

Recent Studies Around the Neocognitron.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
Naive Mean Field Approximation for Sourlas Error Correcting Code.
IEICE Trans. Inf. Syst., 2006

Discrimination of Lung Sounds Using a Statistics of Waveform Intervals.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, 2006

2003
Automatic segmentation of small pulmonary nodules on multi detector-row CT images.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003

2002
An Improvement of Program Partitioning Based Genetic Algorithm.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2002

Analysis of Bidirectional Associative Memory Using SCSNA and Statistical Neurodynamics.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2002

Classification of Visualized Data Dependence.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2002

The Design and Implementation of Unimodular Transformations for the Parallelizing Compiler PROMIS.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2002

Parallelization of Seismic Wave Calculation by Impulse Response Functions.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2002

2001
Formation of a direction map by projection learning using Kohonen's self-organization map.
Biol. Cybern., 2001

1998
Neocognitron with improved bend-extractors: Recognition of handwritten digits in the real world.
Neural Comput. Appl., 1998

Handwritten Digit Recognition by a Neocognitron with Improved Bend-Extractors.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

1995
Connected character recognition in cursive handwriting using selective attention model with bend processing.
Syst. Comput. Jpn., 1995


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