Connected character recognition in cursive handwriting using selective attention model with bend processing. - Hayaru Shouno; Kunihiko Fukushima (Syst. Comput. Jpn., 1995)

Handwritten Digit Recognition by a Neocognitron with Improved Bend-Extractors. - Kunihiko Fukushima; Eiji Kimura; Hayaru Shouno (NC, 1998)

Neocognitron with improved bend-extractors: Recognition of handwritten digits in the real world. - Kunihiko Fukushima; Eiji Kimura; Hayaru Shouno (Neural Comput. Appl., 1998)

Formation of a direction map by projection learning using Kohonen's self-organization map. - Hayaru Shouno; Koji Kurata (Biol. Cybern., 2001)

Parallelization of Seismic Wave Calculation by Impulse Response Functions. - Kyoko Fukuda; Toshihiko Hayakawa; Hayaru Shouno; Kazuki Joe (PDPTA, 2002)

The Design and Implementation of Unimodular Transformations for the Parallelizing Compiler PROMIS. - Hisako Ishiuchi; Tomomi Yamaguchi; Hayaru Shouno; Kazuki Joe (PDPTA, 2002)

Classification of Visualized Data Dependence. - Asami Iwasaka; Tomomi Yamaguchi; Hayaru Shouno; Mariko Sasakura; Kazuki Joe (PDPTA, 2002)

Analysis of Bidirectional Associative Memory Using SCSNA and Statistical Neurodynamics. - Hayaru Shouno; Masato Okada (PDPTA, 2002)

An Improvement of Program Partitioning Based Genetic Algorithm. - Masami Takata; Hayaru Shouno; Kazuki Joe (PDPTA, 2002)

Automatic segmentation of small pulmonary nodules on multi detector-row CT images. - Rie Tachibana; Shoji Kido; Hayaru Shouno; Tsuneo Matsumoto (CARS, 2003)

Discrimination of Lung Sounds Using a Statistics of Waveform Intervals. - Taketoshi Orihashi; Hayaru Shouno; Shoji Kido (PDPTA, 2006)

Naive Mean Field Approximation for Sourlas Error Correcting Code. - Masami Takata; Hayaru Shouno; Masato Okada (IEICE Trans. Inf. Syst., 2006)

Recent Studies Around the Neocognitron. - Hayaru Shouno (ICONIP (1), 2007)

Analysis of Idiopathic interstitial Pneumonia by Self Organization Map on High-Resolution Computed Tomography Images. - Yoshiharu Goto; Hayaru Shouno; Shoji Kido (PDPTA, 2007)

A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling. - Shiro Usui; Keiichiro Inagaki; Takayuki Kannon; Yoshimi Kamiyama; Shunji Satoh; Nilton Liuji Kamiji; Yutaka Hirata; Akito Ishihara; Hayaru Shouno (ICONIP (1), 2009)

Classification of patterns for diffuse lung diseases in thoracic CT images by AdaBoost algorithm. - Masayuki Kuwahara; Shoji Kido; Hayaru Shouno (Computer-Aided Diagnosis, 2009)

A Hyper-parameter Inference for Radon Transformed Image Reconstruction Using Bayesian Inference. - Hayaru Shouno; Masato Okada (MLMI, 2010)

Classification of Idiopathic Interstitial Pneumonia on High-resolution CT Images using Counter-propagation Network. - Yuki Tanaka; Hayaru Shouno; Shoji Kido (PDPTA, 2010)

A Bayesian Hyperparameter Inference for Radon-Transformed Image Reconstruction. - Hayaru Shouno; Madomi Yamasaki; Masato Okada (Int. J. Biomed. Imaging, 2011)

Medical image processing and computer-aided detection/diagnosis (CAD). - Hiroshi Fujita 001; Fumio Nogata; Huiyan Jiang; Shoji Kido; T. Feng; Takeshi Hara; Tatsuro Hayashi; Yasushi Hirano; Akitoshi Katsumata; Y. Kawamura; T. Kokubo; J. Liu; et al. (ICCH, 2012)

A Hierarchical Extension of the HOG Model Implemented in the Convolution-net for Human Detection. - Yasuto Arakaki; Hayaru Shouno; Kazuyuki Takahashi; Takashi Morie (Inf. Media Technol., 2012)

Topographic Analysis of Correlated Components. - Hiroaki Sasaki; Michael Gutmann; Hayaru Shouno; Aapo Hyvärinen (ACML, 2012)

Correlated topographic analysis: estimating an ordering of correlated components. - Hiroaki Sasaki; Michael Gutmann; Hayaru Shouno; Aapo Hyvärinen (Mach. Learn., 2013)

Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations. - Hiroaki Sasaki; Michael Gutmann; Hayaru Shouno; Aapo Hyvärinen (AISTATS, 2014)

A Transfer Learning Method with Deep Convolutional Neural Network for Diffuse Lung Disease Classification. - Hayaru Shouno; Satoshi Suzuki; Shoji Kido (ICONIP (1), 2015)

Deep convolutional network neocognitron: Improved Interpolating-Vector. - Kunihiko Fukushima; Hayaru Shouno (IJCNN, 2015)

Analysis of function of rectified linear unit used in deep learning. - Kazuyuki Hara; Daisuke Saitoh; Hayaru Shouno (IJCNN, 2015)

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

Analysis of Dropout Learning Regarded as Ensemble Learning. - Kazuyuki Hara; Daisuke Saitoh; Hayaru Shouno (ICANN (2), 2016)

Group Dropout Inspired by Ensemble Learning. - Kazuyuki Hara; Daisuke Saitoh; Takumi Kondou; Satoshi Suzuki; Hayaru Shouno (ICONIP (2), 2016)

An Architecture Design Method of Deep Convolutional Neural Network. - Satoshi Suzuki; Hayaru Shouno (ICONIP (3), 2016)

A study on visual interpretation of network in network. - Satoshi Suzuki; Hayaru Shouno (IJCNN, 2017)

Simultaneous Estimation of Nongaussian Components and Their Correlation Structure. - Hiroaki Sasaki; Michael Gutmann; Hayaru Shouno; Aapo Hyvärinen (Neural Comput., 2017)

Deep Learning Employed in the Recognition of the Vector that Spreads Dengue, Chikungunya and Zika Viruses. - Antonio Arista-Jalife; Alejandra Sanchez; Mariko Nakano; Henrik Tünnermann; Héctor Pérez-Meana; Hayaru Shouno (SoMeT, 2018)

Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification-. - Aiga Suzuki; Hidenori Sakanashi; Shoji Kido; Hayaru Shouno (CoRR, 2018)

A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis. - Aiga Suzuki; Hayaru Shouno (CoRR, 2018)

Support Vector Machine Histogram: New Analysis and Architecture Design Method of Deep Convolutional Neural Network. - Satoshi Suzuki; Hayaru Shouno (Neural Process. Lett., 2018)

B-DCGAN: Evaluation of Binarized DCGAN for FPGA. - Hideo Terada; Hayaru Shouno (ICONIP (1), 2019)

Fast Bayesian Restoration of Poisson Corrupted Images with INLA. - Takahiro Kawashima; Hayaru Shouno (CoRR, 2019)

Analysis of Texture Representation in Convolution Neural Network Using Wavelet Based Joint Statistics. - Yusuke Hamano; Hayaru Shouno (ICONIP (1), 2020)

Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields. - Genta Kobayashi; Hayaru Shouno (CoRR, 2020)

Bayesian Sparse Covariance Structure Analysis for Correlated Count Data. - Sho Ichigozaki; Takahiro Kawashima; Hayaru Shouno (CoRR, 2020)

Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization. - Takahiro Kawashima; Hayaru Shouno; Hideitsu Hino (AAAI, 2021)

Improving Convergence Rate of Sign Algorithm using Natural Gradient Method. - Taiyo Mineo; Hayaru Shouno (EUSIPCO, 2021)

Knowledge Transferred Fine-Tuning for Anti-Aliased Convolutional Neural Network in Data-Limited Situation. - Satoshi Suzuki; Shoichiro Takeda; Ryuichi Tanida; Hideaki Kimata; Hayaru Shouno (ICIP, 2021)

Measuring Shift-Invariance of Convolutional Neural Network with a Probability-Incorporated Metric. - Hikaru Higuchi; Satoshi Suzuki; Hayaru Shouno (ICONIP (5), 2021)

Adversarial Training with Knowledge Distillation Considering Intermediate Representations in CNNs. - Hikaru Higuchi; Satoshi Suzuki; Hayaru Shouno (ICONIP (4), 2022)

Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations. - Satoshi Suzuki; Shoichiro Takeda; Naoki Makishima; Atsushi Ando; Ryo Masumura; Hayaru Shouno (IEEE Access, 2022)

Improving sign-algorithm convergence rate using natural gradient for lossless audio compression. - Taiyo Mineo; Hayaru Shouno (EURASIP J. Audio Speech Music. Process., 2022)

Deep Feature Compression Using Spatio-Temporal Arrangement Toward Collaborative Intelligent World. - Satoshi Suzuki; Shoichiro Takeda; Motohiro Takagi; Ryuichi Tanida; Hideaki Kimata; Hayaru Shouno (IEEE Trans. Circuits Syst. Video Technol., 2022)

Explainable Deep Learning Approach for Multi-Class Brain Magnetic Resonance Imaging Tumor Classification and Localization Using Gradient-Weighted Class Activation Mapping. - Tahir Hussain; Hayaru Shouno (Inf., 2023)

Distorted image classification using neural activation pattern matching loss. - Satoshi Suzuki; Shoichiro Takeda; Ryuichi Tanida; Yukihiro Bandoh; Hayaru Shouno (Neural Networks, 2023)

Exploring the role of texture features in deep convolutional neural networks: Insights from Portilla-Simoncelli statistics. - Yusuke Hamano; Shoko Nagasaka; Hayaru Shouno (Neural Networks, 2023)

Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data. - Yuta Sumiya; Hayaru Shouno (IJCNN, 2024)

MAGRes-UNet: Improved Medical Image Segmentation Through a Deep Learning Paradigm of Multi-Attention Gated Residual U-Net. - Tahir Hussain; Hayaru Shouno (IEEE Access, 2024)

Circuit2Graph: Circuits With Graph Neural Networks. - Yusuke Yamakaji; Hayaru Shouno; Kunihiko Fukushima (IEEE Access, 2024)

Circuit2Graph: Diodes as Asymmetric Directional Nodes. - Yusuke Yamakaji; Hayaru Shouno; Kunihiko Fukushima (IEEE Access, 2024)

Keypoints-Integrated Instruction-Following Data Generation for Enhanced Human Pose Understanding in Multimodal Models. - Dewen Zhang; Wangpeng An; Hayaru Shouno (CoRR, 2024)

EFFResNet-ViT: A Fusion-Based Convolutional and Vision Transformer Model for Explainable Medical Image Classification. - Tahir Hussain; Hayaru Shouno; Abid Hussain; Dostdar Hussain; Muhammad Ismail 005; Tatheer Hussain Mir; Fang Rong Hsu; Taukir Alam; Shabnur Anonna Akhy (IEEE Access, 2025)

DCSSGA-UNet: Biomedical image segmentation with DenseNet channel spatial and Semantic Guidance Attention. - Tahir Hussain; Hayaru Shouno; Mazin Abed Mohammed; Haydar Abdulameer Marhoon; Taukir Alam (Knowl. Based Syst., 2025)

LLaVA-Pose: Enhancing Human Pose and Action Understanding via Keypoint-Integrated Instruction Tuning. - Dewen Zhang; Tahir Hussain; Wangpeng An; Hayaru Shouno (CoRR, 2025)

PoseLLM: Enhancing Language-Guided Human Pose Estimation with MLP Alignment. - Dewen Zhang; Tahir Hussain; Wangpeng An; Hayaru Shouno (CoRR, 2025)