Ryotaro Kamimura
Orcid: 0000-0002-4238-3463
According to our database1,
Ryotaro Kamimura
authored at least 180 papers
between 1990 and 2024.
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Bibliography
2024
Searching for Idealized Prototype Learning for Interpreting Multi-Layered Neural Networks.
Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024
Forced and Natural Creative-Prototype Learning for Interpreting Multi-Layered Neural Networks.
Proceedings of the 16th IIAI International Congress on Advanced Applied Informatics, 2024
2023
Connect. Sci., December, 2023
Appl. Intell., December, 2023
Destructive computing with winner-lose-all competition in multi-layered neural networks.
Int. J. Hybrid Intell. Syst., 2023
Proceedings of the Advances in Information and Communication, 2023
2022
Cost-forced collective potentiality maximization by complementary potentiality minimization for interpreting multi-layered neural networks.
Neurocomputing, 2022
Cost-forced and repeated selective information minimization and maximization for multi-layered neural networks.
Int. J. Hybrid Intell. Syst., 2022
Multi-level selective potentiality maximization for interpreting multi-layered neural networks.
Appl. Intell., 2022
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
Proceedings of the Future Technologies Conference, 2022
2021
Partially black-boxed collective interpretation and its application to SOM-based convolutional neural networks.
Neurocomputing, 2021
Selective Information Control and Layer-Wise Partial Collective Compression for Multi-Layered Neural Networks.
Proceedings of the Intelligent Systems Design and Applications, 2021
Selective Information Control and Network Compression in Multi-layered Neural Networks.
Proceedings of the Intelligent Systems and Applications, 2021
Forced Selective Information Reduction for Interpreting Multi-Layered Neural Networks.
Proceedings of 11th International Congress on Advanced Applied Informatics, 2021
2020
Cost-conscious mutual information maximization for improving collective interpretation of multi-layered neural networks.
Neurocomputing, 2020
Improving collective interpretation by extended potentiality assimilation for multi-layered neural networks.
Connect. Sci., 2020
Minimum interpretation by autoencoder-based serial and enhanced mutual information production.
Appl. Intell., 2020
Connective Potential Information for Collectively Interpreting Multi-Layered Neural Networks.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Bidirectional Estimation of Partially Black-Boxed Layers of SOM-Based Convolutional Neural Networks.
Proceedings of the Intelligent Systems and Applications, 2020
Disentangled Representations by Pseudo-Maximum Mutual Information for Interpreting Multi-Layered Neural Networks.
Proceedings of the 9th International Congress on Advanced Applied Informatics, 2020
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020
Cost-Conscious Internal Information Maximization for Disentangling and Interpreting Multi-layered Neural Networks.
Proceedings of the Hybrid Intelligent Systems, 2020
2019
Supposed Maximum Mutual Information for Improving Generalization and Interpretation of Multi-Layered Neural Networks.
J. Artif. Intell. Soft Comput. Res., 2019
Neural self-compressor: Collective interpretation by compressing multi-layered neural networks into non-layered networks.
Neurocomputing, 2019
SOM-based information maximization to improve and interpret multi-layered neural networks: From information reduction to information augmentation approach to create new information.
Expert Syst. Appl., 2019
Sparse semi-autoencoders to solve the vanishing information problem in multi-layered neural networks.
Appl. Intell., 2019
Proceedings of the 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2019
Mutual Information Generation for Improving Generalization and Interpretation in Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019
Relationship Between Management Policies and Profitability for Second Section-Listed Manufacturing Companies of the Tokyo Stock Exchange (2016 Results).
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019
2018
Self-Assimilation for Solving Excessive Information Acquisition in Potential Learning.
J. Artif. Intell. Soft Comput. Res., 2018
Proceedings of the Theory and Practice of Natural Computing - 7th International Conference, 2018
Correlation-Constrained Mutual Information Maximization for Interpretable Multi-Layered Neural Networks.
Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018
Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018
Autoeoncoders and Information Augmentation for Improved Generalization and Interpretation in Multi-layered Neural Networks.
Proceedings of the 6th International Symposium on Computational and Business Intelligence, 2018
Excessive, Selective and Collective Information Processing to Improve and Interpret Multi-layered Neural Networks.
Proceedings of the Intelligent Systems and Applications, 2018
Autoeconder-Based Excessive Information Generation for Improving and Interpreting Multi-layered Neural Networks.
Proceedings of the 7th International Congress on Advanced Applied Informatics, 2018
2017
Collective mutual information maximization to unify passive and positive approaches for improving interpretation and generalization.
Neural Networks, 2017
Mutual information maximization for improving and interpreting multi-layered neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Selective and cooperative potentiality maximization for improving interpretation and generalization.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017
Proceedings of the Position Papers of the 2017 Federated Conference on Computer Science and Information Systems, 2017
2016
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016
Repeated potentiality assimilation: Simplifying learning procedures by positive, independent and indirect operation for improving generalization and interpretation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Intelligent Information Processing VIII, 2016
Solving the Vanishing Information Problem with Repeated Potential Mutual Information Maximization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Simple and Stable Internal Representation by Potential Mutual Information Maximization.
Proceedings of the Engineering Applications of Neural Networks, 2016
2015
Accumulative Information Enhancement In The Self-Organizing Maps And Its Application To The Analysis Of Mission Statements.
J. Artif. Intell. Soft Comput. Res., 2015
Improving visualisation and prediction performance of supervised self-organising map by modified contradiction resolution.
Connect. Sci., 2015
Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Self-Organized Mutual Information Maximization Learning for Improved Generalization Performance.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Selective potentiality maximization for input neuron selection in self-organizing maps.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Simplified and gradual information control for improving generalization performance of multi-layered neural networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Pseudo-potentiality maximization for improved interpretation and generalization in neural networks.
Proceedings of the IEEE 8th International Workshop on Computational Intelligence and Applications, 2015
2014
Appl. Intell., 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Information-theoretic multi-layered supervised self-organizing maps for improved prediction performance and explicit internal representation.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Information acquisition performance by supervised information-theoretic self-organizing maps.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014
Proceedings of the 2014 IEEE Symposium on Foundations of Computational Intelligence, 2014
Simplified Information Acquisition Method to Improve Prediction Performance: Direct Use of Hidden Neuron Outputs and Separation of Information Acquisition and Use Phase.
Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing, 2014
2013
Controlling Relations between the Individuality and Collectivity of Neurons and its Application to Self-Organizing Maps.
Neural Process. Lett., 2013
Neural Comput. Appl., 2013
Int. J. Gen. Syst., 2013
Contradiction Resolution with Dependent Input Neuron Selection for Self-Organizing Maps.
Proceedings of the IEEE International Conference on Systems, 2013
Contradiction resolution with explicit and limited evaluation and its application to SOM.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the IEEE 6th International Workshop on Computational Intelligence and Applications, 2013
2012
Relative information maximization and its application to the extraction of explicit class structure in SOM.
Neurocomputing, 2012
Int. J. Gen. Syst., 2012
Double enhancement learning for explicit internal representations: unifying self-enhancement and information enhancement to incorporate information on input variables.
Appl. Intell., 2012
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
Interaction of individually and collectively treated neurons for explicit class structure in self-organizing maps.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Contradiction Resolution for Foreign Exchange Rates Estimation.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012
Separation and Unification of Individuality and Collectivity and Its Application to Explicit Class Structure in Self-Organizing Maps.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
2011
Selective information enhancement learning for creating interpretable representations in competitive learning.
Neural Networks, 2011
Neurocomputing, 2011
Int. J. Gen. Syst., 2011
Self-enhancement learning: target-creating learning and its application to self-organizing maps.
Biol. Cybern., 2011
Structural enhanced information and its application to improved visualization of self-organizing maps.
Appl. Intell., 2011
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Individually and Collectively Treated Neurons and its Application to SOM .
Proceedings of the NCTA 2011, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
Relative Information Maximization and Its Application to the Detection of Explicit Class Structure in SOM.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2011
2010
Information-theoretic enhancement learning and its application to visualization of self-organizing maps.
Neurocomputing, 2010
Int. J. Gen. Syst., 2010
Explicit class structure produced by information-theoretic competitive and cooperative learning.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010
Proceedings of the Neural Information Processing. Models and Applications, 2010
Proceedings of the Neural Information Processing. Models and Applications, 2010
Proceedings of the Artificial Neural Networks, 2010
2009
Neural Process. Lett., 2009
Relative Relaxation and Weighted Information Loss to Simplify and Stabilize Feature Detection.
J. Adv. Comput. Intell. Intell. Informatics, 2009
Neurocomputing, 2009
Proceedings of the IEEE International Conference on Systems, 2009
Self-supervised learning by information enhancement: Target-Generating and Spontaneous learning for Competitive Learning.
Proceedings of the IEEE International Conference on Systems, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Information Enhancement Learning: Local Enhanced Information to Detect the Importance of Input Variables in Competitive Learning.
Proceedings of the Engineering Applications of Neural Networks, 2009
2008
Mutual information maximization by free energy-based competitive learning for self-organizing maps.
Proceedings of the IEEE International Conference on Systems, 2008
Interpreting and improving multi-layered networks by free energy-based competitive learning.
Proceedings of the IEEE International Conference on Systems, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
2007
Proceedings of the IEEE International Conference on Systems, 2007
Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning.
Proceedings of the International Joint Conference on Neural Networks, 2007
Controlled Competitive Learning: Extending Competitive Learning to Supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
Interpreting cabinet approval ratings by neural networks.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007
Forced information and information loss in information-theoretic competitive learning.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007
2006
Cooperative information maximization with Gaussian activation functions for self-organizing maps.
IEEE Trans. Neural Networks, 2006
Proceedings of the IEEE International Conference on Systems, 2006
Controlling Excessive Information by Surface Information Criterion for Information-Theoretic Self-Organizing Maps.
Proceedings of the IEEE International Conference on Systems, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Automatic Inference of Cabinet Approval Ratings by Information-Theoretic Competitive Learning.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Self-organizing by Information Maximization: Realizing Self-Organizing Maps by Information-Theoretic Competitive Learning.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2005
Neural Networks, 2005
Improving information-theoretic competitive learning by accentuated information maximization.
Int. J. Gen. Syst., 2005
Maximizing the Ratio of Information to Its Cost in Information Theoretic Competitive Learning.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Extracting Common and Distinctive Features by Cost-Sensitive Information Maximization.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005
Modular Structure Generation and Its Application to Feature Extraction.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005
2004
Multi-Layered Greedy Network-Growing Algorithm: Extension of Greedy Network-Growing Algorithm to Multi-Layered Networks.
Int. J. Neural Syst., 2004
Improving feature extraction performance of greedy network-growing algorithm by inverse euclidean distance.
Connect. Sci., 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
2003
Information-Theoretic Competitive Learning with Inverse Euclidean Distance Output Units.
Neural Process. Lett., 2003
Teacher-directed learning: information-theoretic competitive learning in supervised multi-layered networks.
Connect. Sci., 2003
Connect. Sci., 2003
Complex Syst., 2003
Economic Data Analysis and Cooperative Information Control.
Proceedings of the IASTED International Conference on Modelling and Simulation (MS 2003), 2003
Information-theoretic Competitive Learning.
Proceedings of the IASTED International Conference on Modelling and Simulation (MS 2003), 2003
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003
Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive Learning.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
2002
Greedy information acquisition algorithm: a new information theoretic approach to dynamic information acquisition in neural networks.
Connect. Sci., 2002
2001
Proceedings of the Artificial Neural Networks, 2001
Proceedings of the Artificial Neural Networks, 2001
2000
Proceedings of the IEEE International Conference on Systems, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
1998
Algorithmica, 1998
Integrated Information Processors with Multi-functional Components.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
Structural Information Control to Improve Generalization.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
1997
Constrained Information Maximization to Control Internal Representatio.
J. Braz. Comput. Soc., 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
D-entropy minimization: integration of mutual information maximization and minimization.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
1995
Feature detectors by autoencoders: Decomposition of input patterns into atomic features by neural networks.
Neural Process. Lett., 1995
IEICE Trans. Inf. Syst., 1995
IEICE Trans. Inf. Syst., 1995
Information maximization for feature detection and pattern classification by autoencoders.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
Minimum α-information strategy for the interpretation of the network behaviors and the improved generalization.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
1993
Proceedings of the Advances in Neural Information Processing Systems 6, 1993
Minimum entropy methods in neural networks: competition and selective responses by entropy minimization.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993
1992
Complexity Term to Generate Explicit Internal Representation in Recurrent Neural Networks.
Proceedings of the Algorithms, Software, Architecture, 1992
Proceedings of the Algorithmic Learning Theory, Third Workshop, 1992
1991
Proceedings of the Conference on Analysis of Neural Network Applications, 1991
1990
Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing, 1990
Application of temporal supervised learning algorithm to generation of natural language.
Proceedings of the IJCNN 1990, 1990