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2020 – today
- 2024
[j18]Tahir Hussain
, Hayaru Shouno:
MAGRes-UNet: Improved Medical Image Segmentation Through a Deep Learning Paradigm of Multi-Attention Gated Residual U-Net. IEEE Access 12: 40290-40310 (2024)- [j17]Yusuke Yamakaji, Hayaru Shouno, Kunihiko Fukushima:
Circuit2Graph: Circuits With Graph Neural Networks. IEEE Access 12: 51818-51827 (2024) - [c33]Yuta Sumiya, Hayaru Shouno:
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data. IJCNN 2024: 1-10 - [i10]Yuta Sumiya, Hayaru Shouno:
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data. CoRR abs/2404.13224 (2024) - [i9]Dewen Zhang, Wangpeng An, Hayaru Shouno:
Keypoints-Integrated Instruction-Following Data Generation for Enhanced Human Pose Understanding in Multimodal Models. CoRR abs/2409.09306 (2024) - 2023
- [j16]Tahir Hussain, Hayaru Shouno:
Explainable Deep Learning Approach for Multi-Class Brain Magnetic Resonance Imaging Tumor Classification and Localization Using Gradient-Weighted Class Activation Mapping. Inf. 14(12): 642 (2023) - [j15]Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Yukihiro Bandoh, Hayaru Shouno:
Distorted image classification using neural activation pattern matching loss. Neural Networks 167: 50-64 (2023) - [j14]Yusuke Hamano, Shoko Nagasaka, Hayaru Shouno:
Exploring the role of texture features in deep convolutional neural networks: Insights from Portilla-Simoncelli statistics. Neural Networks 168: 300-312 (2023) - 2022
- [j13]Satoshi Suzuki, Shoichiro Takeda, Naoki Makishima, Atsushi Ando, Ryo Masumura, Hayaru Shouno:
Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations. IEEE Access 10: 68384-68396 (2022) - [j12]Taiyo Mineo, Hayaru Shouno:
Improving sign-algorithm convergence rate using natural gradient for lossless audio compression. EURASIP J. Audio Speech Music. Process. 2022(1): 12 (2022) - [j11]Satoshi Suzuki, Shoichiro Takeda, Motohiro Takagi, Ryuichi Tanida, Hideaki Kimata, Hayaru Shouno:
Deep Feature Compression Using Spatio-Temporal Arrangement Toward Collaborative Intelligent World. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3934-3946 (2022) - [c32]Hikaru Higuchi, Satoshi Suzuki, Hayaru Shouno:
Adversarial Training with Knowledge Distillation Considering Intermediate Representations in CNNs. ICONIP (4) 2022: 683-691 - 2021
- [c31]Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino:
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization. AAAI 2021: 8083-8091 - [c30]Taiyo Mineo, Hayaru Shouno:
Improving Convergence Rate of Sign Algorithm using Natural Gradient Method. EUSIPCO 2021: 51-55 - [c29]Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Hideaki Kimata, Hayaru Shouno:
Knowledge Transferred Fine-Tuning for Anti-Aliased Convolutional Neural Network in Data-Limited Situation. ICIP 2021: 864-868 - [c28]Hikaru Higuchi, Satoshi Suzuki, Hayaru Shouno:
Measuring Shift-Invariance of Convolutional Neural Network with a Probability-Incorporated Metric. ICONIP (5) 2021: 719-728 - 2020
- [c27]Yusuke Hamano, Hayaru Shouno:
Analysis of Texture Representation in Convolution Neural Network Using Wavelet Based Joint Statistics. ICONIP (1) 2020: 126-136 - [i8]Genta Kobayashi, Hayaru Shouno:
Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields. CoRR abs/2006.01645 (2020) - [i7]Sho Ichigozaki, Takahiro Kawashima, Hayaru Shouno:
Bayesian Sparse Covariance Structure Analysis for Correlated Count Data. CoRR abs/2006.03241 (2020)
2010 – 2019
- 2019
- [c26]Hideo Terada, Hayaru Shouno:
B-DCGAN: Evaluation of Binarized DCGAN for FPGA. ICONIP (1) 2019: 55-64 - [i6]Takahiro Kawashima, Hayaru Shouno:
Fast Bayesian Restoration of Poisson Corrupted Images with INLA. CoRR abs/1904.01357 (2019) - 2018
- [j10]Satoshi Suzuki, Hayaru Shouno:
Support Vector Machine Histogram: New Analysis and Architecture Design Method of Deep Convolutional Neural Network. Neural Process. Lett. 47(3): 767-782 (2018) - [c25]Antonio Arista-Jalife, Alejandra Sanchez, Mariko Nakano, Henrik Tünnermann, Héctor Pérez-Meana, Hayaru Shouno:
Deep Learning Employed in the Recognition of the Vector that Spreads Dengue, Chikungunya and Zika Viruses. SoMeT 2018: 108-120 - [i5]Hideo Terada, Hayaru Shouno:
B-DCGAN: Evaluation of Binarized DCGAN for FPGA. CoRR abs/1803.10930 (2018) - [i4]Aiga Suzuki, Hidenori Sakanashi, Shoji Kido, Hayaru Shouno:
Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification-. CoRR abs/1810.06282 (2018) - [i3]Aiga Suzuki, Hayaru Shouno:
A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis. CoRR abs/1810.06892 (2018) - 2017
- [j9]Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen:
Simultaneous Estimation of Nongaussian Components and Their Correlation Structure. Neural Comput. 29(11) (2017) - [c24]Satoshi Suzuki, Hayaru Shouno:
A study on visual interpretation of network in network. IJCNN 2017: 903-910 - [i2]Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno:
Analysis of dropout learning regarded as ensemble learning. CoRR abs/1706.06859 (2017) - 2016
- [c23]Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno:
Analysis of Dropout Learning Regarded as Ensemble Learning. ICANN (2) 2016: 72-79 - [c22]Kazuyuki Hara, Daisuke Saitoh, Takumi Kondou, Satoshi Suzuki, Hayaru Shouno:
Group Dropout Inspired by Ensemble Learning. ICONIP (2) 2016: 66-73 - [c21]Satoshi Suzuki, Hayaru Shouno:
An Architecture Design Method of Deep Convolutional Neural Network. ICONIP (3) 2016: 538-546 - 2015
- [j8]Hayaru Shouno:
Bayesian Image Restoration for Poisson Corrupted Image Using a Latent Variational Method with Gaussian MRF. Inf. Media Technol. 10(2): 363-372 (2015) - [c20]Hayaru Shouno, Satoshi Suzuki, Shoji Kido:
A Transfer Learning Method with Deep Convolutional Neural Network for Diffuse Lung Disease Classification. ICONIP (1) 2015: 199-207 - [c19]Kunihiko Fukushima, Hayaru Shouno:
Deep convolutional network neocognitron: Improved Interpolating-Vector. IJCNN 2015: 1-8 - [c18]Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno:
Analysis of function of rectified linear unit used in deep learning. IJCNN 2015: 1-8 - 2014
- [c17]Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen:
Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations. AISTATS 2014: 868-876 - [i1]Hayaru Shouno:
Bayesian Image Restoration for Poisson Corrupted Image using a Latent Variational Method with Gaussian MRF. CoRR abs/1412.2342 (2014) - 2013
- [j7]Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen:
Correlated topographic analysis: estimating an ordering of correlated components. Mach. Learn. 92(2-3): 285-317 (2013) - 2012
- [j6]Yasuto Arakaki, Hayaru Shouno, Kazuyuki Takahashi, Takashi Morie:
A Hierarchical Extension of the HOG Model Implemented in the Convolution-net for Human Detection. Inf. Media Technol. 7(4): 1480-1488 (2012) - [c16]Hiroshi Fujita, Fumio Nogata, Huiyan Jiang, Shoji Kido, T. Feng, Takeshi Hara, Tatsuro Hayashi, Yasushi Hirano, Akitoshi Katsumata, Y. Kawamura, T. Kokubo, J. Liu, Chisako Muramatsu, Hayaru Shouno, Rie Tachibana, X. Wang, F. Xiang, Rui Xu, B. Yang, Yasunari Yokota, L. Zhang, Q. Li, Z. Guo:
Medical image processing and computer-aided detection/diagnosis (CAD). ICCH 2012: 66-71 - [c15]Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen:
Topographic Analysis of Correlated Components. ACML 2012: 365-378 - 2011
- [j5]Hayaru Shouno, Madomi Yamasaki, Masato Okada:
A Bayesian Hyperparameter Inference for Radon-Transformed Image Reconstruction. Int. J. Biomed. Imaging 2011: 870252:1-870252:10 (2011) - 2010
- [c14]Hayaru Shouno, Masato Okada:
A Hyper-parameter Inference for Radon Transformed Image Reconstruction Using Bayesian Inference. MLMI 2010: 26-33 - [c13]Yuki Tanaka, Hayaru Shouno, Shoji Kido:
Classification of Idiopathic Interstitial Pneumonia on High-resolution CT Images using Counter-propagation Network. PDPTA 2010: 652-657
2000 – 2009
- 2009
- [c12]Shiro Usui, Keiichiro Inagaki, Takayuki Kannon, Yoshimi Kamiyama, Shunji Satoh, Nilton Liuji Kamiji, Yutaka Hirata, Akito Ishihara, Hayaru Shouno:
A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling. ICONIP (1) 2009: 84-90 - [c11]Masayuki Kuwahara, Shoji Kido, Hayaru Shouno:
Classification of patterns for diffuse lung diseases in thoracic CT images by AdaBoost algorithm. Medical Imaging: Computer-Aided Diagnosis 2009: 726037 - 2007
- [c10]Hayaru Shouno:
Recent Studies Around the Neocognitron. ICONIP (1) 2007: 1061-1070 - [c9]Yoshiharu Goto, Hayaru Shouno, Shoji Kido:
Analysis of Idiopathic interstitial Pneumonia by Self Organization Map on High-Resolution Computed Tomography Images. PDPTA 2007: 753-758 - 2006
- [j4]Masami Takata, Hayaru Shouno, Masato Okada:
Naive Mean Field Approximation for Sourlas Error Correcting Code. IEICE Trans. Inf. Syst. 89-D(8): 2439-2447 (2006) - [c8]Taketoshi Orihashi, Hayaru Shouno, Shoji Kido:
Discrimination of Lung Sounds Using a Statistics of Waveform Intervals. PDPTA 2006: 813-817 - 2003
- [c7]Rie Tachibana, Shoji Kido, Hayaru Shouno, Tsuneo Matsumoto:
Automatic segmentation of small pulmonary nodules on multi detector-row CT images. CARS 2003: 1389 - 2002
- [c6]Masami Takata, Hayaru Shouno, Kazuki Joe:
An Improvement of Program Partitioning Based Genetic Algorithm. PDPTA 2002: 215-221 - [c5]Hayaru Shouno, Masato Okada:
Analysis of Bidirectional Associative Memory Using SCSNA and Statistical Neurodynamics. PDPTA 2002: 239-245 - [c4]Hisako Ishiuchi, Tomomi Yamaguchi, Hayaru Shouno, Kazuki Joe:
The Design and Implementation of Unimodular Transformations for the Parallelizing Compiler PROMIS. PDPTA 2002: 1438-1443 - [c3]Asami Iwasaka, Tomomi Yamaguchi, Hayaru Shouno, Mariko Sasakura, Kazuki Joe:
Classification of Visualized Data Dependence. PDPTA 2002: 1444-1450 - [c2]Kyoko Fukuda, Toshihiko Hayakawa, Hayaru Shouno, Kazuki Joe:
Parallelization of Seismic Wave Calculation by Impulse Response Functions. PDPTA 2002: 1465-1474 - 2001
- [j3]Hayaru Shouno, Koji Kurata:
Formation of a direction map by projection learning using Kohonen's self-organization map. Biol. Cybern. 85(4): 241-246 (2001)
1990 – 1999
- 1998
- [j2]Kunihiko Fukushima, Eiji Kimura, Hayaru Shouno:
Neocognitron with improved bend-extractors: Recognition of handwritten digits in the real world. Neural Comput. Appl. 7(3): 260-272 (1998) - [c1]Kunihiko Fukushima, Eiji Kimura, Hayaru Shouno:
Handwritten Digit Recognition by a Neocognitron with Improved Bend-Extractors. NC 1998: 240-246 - 1995
- [j1]Hayaru Shouno, Kunihiko Fukushima:
Connected character recognition in cursive handwriting using selective attention model with bend processing. Syst. Comput. Jpn. 26(10): 35-46 (1995)
Coauthor Index
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last updated on 2024-10-15 00:24 CEST by the dblp team
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