| 2024 | IJCCI | Searching for Idealized Prototype Learning for Interpreting Multi-Layered Neural Networks. | Ryotaro Kamimura |
| 2021 | ISDA | Selective Information Control and Layer-Wise Partial Collective Compression for Multi-Layered Neural Networks. | Ryotaro Kamimura |
| 2020 | HIS | Cost-Conscious Internal Information Maximization for Disentangling and Interpreting Multi-layered Neural Networks. | Ryotaro Kamimura |
| 2019 | IJCNN | Mutual Information Generation for Improving Generalization and Interpretation in Neural Networks. | Ryotaro Kamimura |
| 2017 | FedCSIS | Direct Potentiality Assimilation for Improving Multi-Layered Neural Networks. | Ryotaro Kamimura |
| 2017 | IJCNN | Selective and cooperative potentiality maximization for improving interpretation and generalization. | Ryotaro Kamimura |
| 2017 | IJCNN | Potential layer-wise supervised learning for training multi-layered neural networks. | Ryotaro Kamimura |
| 2017 | IFSA | Supervised semi-autoencoder learning for multi-layered neural networks. | Ryotaro Kamimura, Haruhiko Takeuchi |
| 2016 | EANN | Simple and Stable Internal Representation by Potential Mutual Information Maximization. | Ryotaro Kamimura |
| 2016 | ICONIP | Solving the Vanishing Information Problem with Repeated Potential Mutual Information Maximization. | Ryotaro Kamimura |
| 2016 | IJCNN | Repeated potentiality assimilation: Simplifying learning procedures by positive, independent and indirect operation for improving generalization and interpretation. | Ryotaro Kamimura |
| 2015 | IJCNN | Simplified and gradual information control for improving generalization performance of multi-layered neural networks. | Ryotaro Kamimura |
| 2015 | IJCNN | Selective potentiality maximization for input neuron selection in self-organizing maps. | Ryotaro Kamimura, Ryozo Kitajima |
| 2015 | SMC | Self-Organized Mutual Information Maximization Learning for Improved Generalization Performance. | Ryotaro Kamimura |
| 2015 | SMC | Self-Organizing Selective Potentiality Learning to Detect Important Input Neurons. | Ryotaro Kamimura |
| 2014 | SMC | Information-theoretic multi-layered supervised self-organizing maps for improved prediction performance and explicit internal representation. | Ryotaro Kamimura |
| 2014 | SMC | Embedded information enhancement for neuron selection in self-organizing maps. | Ryotaro Kamimura, Taeko Kamimura |
| 2013 | IJCNN | Contradiction resolution with explicit and limited evaluation and its application to SOM. | Ryotaro Kamimura |
| 2013 | SMC | Contradiction Resolution with Dependent Input Neuron Selection for Self-Organizing Maps. | Ryotaro Kamimura |
| 2012 | ICANN | Separation and Unification of Individuality and Collectivity and Its Application to Explicit Class Structure in Self-Organizing Maps. | Ryotaro Kamimura |
| 2012 | IJCCI | Contradiction Resolution for Foreign Exchange Rates Estimation. | Ryotaro Kamimura |
| 2012 | IJCNN | Interaction of individually and collectively treated neurons for explicit class structure in self-organizing maps. | Ryotaro Kamimura |
| 2012 | SMC | Contradiction resolution and its application to self-organizing maps. | Ryotaro Kamimura |
| 2011 | ICANN | Explicit Class Structure by Weighted Cooperative Learning. | Ryotaro Kamimura |
| 2011 | IJCCI | Individually and Collectively Treated Neurons and its Application to SOM . | Ryotaro Kamimura |
| 2011 | IJCNN | Cooperation control and enhanced class structure in self-organizing maps. | Ryotaro Kamimura |
| 2010 | ICANN | Generation of Comprehensible Representations by Supposed Maximum Information. | Ryotaro Kamimura |
| 2010 | ICONIP | Pseudo-network Growing for Gradual Interpretation of Input Patterns. | Ryotaro Kamimura |
| 2010 | ICONIP | Information-Theoretic Competitive and Cooperative Learning for Self-Organizing Maps. | Ryotaro Kamimura |
| 2009 | EANN | Information Enhancement Learning: Local Enhanced Information to Detect the Importance of Input Variables in Competitive Learning. | Ryotaro Kamimura |
| 2009 | IJCNN | Selective enhancement learning in competitive learning. | Ryotaro Kamimura |
| 2009 | IJCNN | Self-enhancement learning: Self-supervised and target-creating learning. | Ryotaro Kamimura |
| 2009 | SMC | Self-supervised learning by information enhancement: Target-Generating and Spontaneous learning for Competitive Learning. | Ryotaro Kamimura |
| 2009 | SMC | Structural Enhanced Information to Detect Features in Competitive Learning. | Ryotaro Kamimura |
| 2008 | ICONIP | Partially Enhanced Competitive Learning. | Ryotaro Kamimura |
| 2008 | ICONIP | Feature Detection by Structural Enhanced Information. | Ryotaro Kamimura |
| 2008 | ICONIP | Enhanced Visualization by Combing SOM and Mixture Models. | Ryotaro Kamimura |
| 2008 | ICONIP | Collective Activations to Generate Self-Organizing Maps. | Ryotaro Kamimura |
| 2008 | IJCNN | Conditional information and information loss for flexible feature extraction. | Ryotaro Kamimura |
| 2008 | IDEAL | Feature Discovery by Enhancement and Relaxation of Competitive Units. | Ryotaro Kamimura |
| 2008 | SMC | Interpreting and improving multi-layered networks by free energy-based competitive learning. | Ryotaro Kamimura |
| 2008 | SMC | Mutual information maximization by free energy-based competitive learning for self-organizing maps. | Ryotaro Kamimura |
| 2007 | ICANN | Partially Activated Neural Networks by Controlling Information. | Ryotaro Kamimura |
| 2007 | IJCNN | Controlled Competitive Learning: Extending Competitive Learning to Supervised Learning. | Ryotaro Kamimura |
| 2007 | IJCNN | Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning. | Ryotaro Kamimura, Ryozo Kitajima |
| 2007 | SMC | Information loss to extract distinctive features in competitive learning. | Ryotaro Kamimura |
| 2006 | ICONIP | Self-organizing by Information Maximization: Realizing Self-Organizing Maps by Information-Theoretic Competitive Learning. | Ryotaro Kamimura |
| 2006 | ICONIP | Automatic Inference of Cabinet Approval Ratings by Information-Theoretic Competitive Learning. | Ryotaro Kamimura, Fumihiko Yoshida |
| 2006 | ICONIP | Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons. | Ryotaro Kamimura, Fumihiko Yoshida, Ryozo Kitajima |
| 2006 | IJCNN | Supervised Information Maximization by Weighted Distance. | Ryotaro Kamimura |
| 2006 | SMC | Controlling Excessive Information by Surface Information Criterion for Information-Theoretic Self-Organizing Maps. | Ryotaro Kamimura |
| 2006 | SMC | Student Survey by Information-Theoretic Competitive Learning. | Ryotaro Kamimura |
| 2005 | ICANN | Maximizing the Ratio of Information to Its Cost in Information Theoretic Competitive Learning. | Ryotaro Kamimura, Sachiko Aida-Hyugaji |
| 2005 | IJCNN | Information maximization and cost minimization in information-theoretic competitive learning. | Ryotaro Kamimura |
| 2004 | ICONIP | One-Epoch Learning for Supervised Information-Theoretic Competitive Learning. | Ryotaro Kamimura |
| 2004 | ICONIP | Teacher-Directed Learning with Gaussian and Sigmoid Activation Functions. | Ryotaro Kamimura |
| 2004 | ICONIP | Cost-Sensitive Greedy Network-Growing Algorithm with Gaussian Activation Functions. | Ryotaro Kamimura, Osamu Uchida |
| 2004 | IJCNN | Teacher-directed information maximization: supervised information-theoretic competitive learning with Gaussian activation functions. | Ryotaro Kamimura |
| 2004 | IJCNN | Information maximization with Gaussian activation functions to generate explicit self-organizing maps. | Ryotaro Kamimura, Yukiko Maruyama |
| 2004 | IJCNN | Greedy network-growing by Minkowski distance functions. | Ryotaro Kamimura, Osamu Uchida |
| 2003 | ICANN | Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive Learning. | Ryotaro Kamimura |
| 2003 | IJCNN | Improving generalization by teacher-directed learning. | Ryotaro Kamimura |
| 2003 | IJCNN | Flexible self-organizing maps by information maximization. | Ryotaro Kamimura, Haruhiko Takeuchi |
| 2003 | IJCNN | Faithful feature extraction by greedy network-growing algorithm. | Ryotaro Kamimura, Osamu Uchida |
| 2003 | IDEAL | Generating Explicit Self-Organizing Maps by Information Maximization. | Ryotaro Kamimura, Haruhiko Takeuchi |
| 2003 | IDEAL | Improving Feature Extraction Performance of Greedy Network-Growing Algorithm. | Ryotaro Kamimura, Osamu Uchida |
| 2001 | ICANN | Cooperative Information Control to Coordinate Competition and Cooperation. | Ryotaro Kamimura, Taeko Kamimura |
| 2001 | ICANN | Information Maximization and Language Acquisition. | Ryotaro Kamimura, Taeko Kamimura |
| 2000 | IJCNN | Conditional Information Analysis. | Ryotaro Kamimura |
| 2000 | IJCNN | Selective Information Acquisition with Application to Pattern Classification. | Ryotaro Kamimura |
| 2000 | SMC | Information theoretic rule discovery in neural networks. | Ryotaro Kamimura, Taeko Kamimura |
| 1999 | IJCNN | Mediated and multi-level information processing. | Ryotaro Kamimura |
| 1999 | IJCNN | Controlling simple structural information to improve generalization performance. | Ryotaro Kamimura |
| 1998 | ICONIP | Structural Information Control to Improve Generalization. | Ryotaro Kamimura |
| 1998 | ICONIP | Integrated Information Processors with Multi-functional Components. | Ryotaro Kamimura |
| 1992 | ALT | Competitive Learning by Entropy Minimization. | Ryotaro Kamimura |
| 1990 | IJCNN | Application of temporal supervised learning algorithm to generation of natural language. | Ryotaro Kamimura |