Nonlinear Prediction by Reinforcement Learning. - Takashi Kuremoto; Masanao Obayashi; Kunikazu Kobayashi (ICIC (1), 2005)

A Chaotic Model of Hippocampus-Neocortex. - Takashi Kuremoto; Tsuyoshi Eto; Kunikazu Kobayashi; Masanao Obayashi (ICNC (1), 2005)

A Hippocampus-Neocortex Model for Chaotic Association. - Takashi Kuremoto; Tsuyoshi Eto; Kunikazu Kobayashi; Masanao Obayashi (Trends in Neural Computation, 2007)

A Self-Organized Fuzzy-Neuro Reinforcement Learning System for Continuous State Space for Autonomous Robots. - Masanao Obayashi; Takashi Kuremoto; Kunikazu Kobayashi (CIMCA/IAWTIC/ISE, 2008)

A Neuro-fuzzy Learning System for Adaptive Swarm Behaviors Dealing with Continuous State Space. - Takashi Kuremoto; Masanao Obayashi; Kunikazu Kobayashi; Hirotaka Adachi; Kentaro Yoneda (ICIC (2), 2008)

A Bayesian Local Linear Wavelet Neural Network. - Kunikazu Kobayashi; Masanao Obayashi; Takashi Kuremoto (ICONIP (2), 2008)

A reinforcement learning system for swarm behaviors. - Takashi Kuremoto; Masanao Obayashi; Kunikazu Kobayashi; Hirotaka Adachi; Kentaro Yoneda (IJCNN, 2008)

A Functional Model of Limbic System of Brain. - Takashi Kuremoto; Tomonori Ohta; Kunikazu Kobayashi; Masanao Obayashi (Brain Informatics, 2009)

A Meta-learning Method Based on Temporal Difference Error. - Kunikazu Kobayashi; Hiroyuki Mizoue; Takashi Kuremoto; Masanao Obayashi (ICONIP (1), 2009)

A reinforcement learning method based on an immune network adapted to a semi-Markov decision process. - Nagahisa Kogawa; Masanao Obayashi; Kunikazu Kobayashi; Takashi Kuremoto (Artif. Life Robotics, 2009)

A dynamic associative memory system by adopting an amygdala model. - Takashi Kuremoto; Tomonori Ohta; Kunikazu Kobayashi; Masanao Obayashi (Artif. Life Robotics, 2009)

A robust reinforcement learning using the concept of sliding mode control. - Masanao Obayashi; N. Nakahara; Takashi Kuremoto; Kunikazu Kobayashi (Artif. Life Robotics, 2009)

Adaptive swarm behavior acquisition by a neuro-fuzzy system and reinforcement learning algorithm. - Takashi Kuremoto; Masanao Obayashi; Kunikazu Kobayashi (Int. J. Intell. Comput. Cybern., 2009)

An Improved Internal Model for Swarm Formation and Adaptive Swarm Behavior Acquisition. - Takashi Kuremoto; Yuki Yamano; Masanao Obayashi; Kunikazu Kobayashi (J. Circuits Syst. Comput., 2009)

Autonomic Behaviors of Swarm Robots Driven by Emotion and Curiosity. - Takashi Kuremoto; Masanao Obayashi; Kunikazu Kobayashi; Liang-Bing Feng (LSMS/ICSEE, 2010)

Intelligent agent construction using the attentive characteristic patterns of chaotic neural networks. - Masanao Obayashi; Liang-Bing Feng; Takashi Kuremoto; Kunikazu Kobayashi (Artif. Life Robotics, 2010)

Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System. - Takashi Kuremoto; Takahito Komoto; Kunikazu Kobayashi; Masanao Obayashi (J. Robotics, 2010)

A Gesture Recognition System Using One-Pass DP Method. - Takashi Kuremoto; Yasuhiro Kinoshita; Liang-Bing Feng; Shun Watanabe; Kunikazu Kobayashi; Masanao Obayashi (ICIC (2), 2011)

An Action Selection Method Based on Estimation of Other's Intention in Time-Varying Multi-agent Environments. - Kunikazu Kobayashi; Ryu Kanehira; Takashi Kuremoto; Masanao Obayashi (ICONIP (3), 2011)

An Improved Internal Model of Autonomous Robots by a Psychological Approach. - Takashi Kuremoto; Masanao Obayashi; Kunikazu Kobayashi; Liang-Bing Feng (Cogn. Comput., 2011)

Time Series Forecasting Using Restricted Boltzmann Machine. - Takashi Kuremoto; Shinsuke Kimura; Kunikazu Kobayashi; Masanao Obayashi (ICIC (3), 2012)

Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree. - Kunikazu Kobayashi; Tadashi Kurano; Takashi Kuremoto; Masanao Obayashi (ICONIP (3), 2012)

An emotional model embedded reinforcement learning system. - Masanao Obayashi; Takahiro Takuno; Takashi Kuremoto; Kunikazu Kobayashi (SMC, 2012)

Handwriting character classification using Freeman's olfactory KIII model. - Masanao Obayashi; Shinnosuke Koga; Liang-Bing Feng; Takashi Kuremoto; Kunikazu Kobayashi (Artif. Life Robotics, 2012)

A variable size mechanism of distributed graph programs for creating agent behaviors. - Shingo Mabu; Kotaro Hirasawa; Masanao Obayashi; Takashi Kuremoto (IEEE Congress on Evolutionary Computation, 2013)

A Model of Emotional Intelligent Agent for Cooperative Goal Exploration. - Takashi Kuremoto; Tetsuya Tsurusaki; Kunikazu Kobayashi; Shingo Mabu; Masanao Obayashi (ICIC (1), 2013)

Adaptive Control System Based on Self-Organizing Wavelet Neural Network with H8 Tracking Performance Compensator. - Masanao Obayashi; Takuya Kamikariya; Shogo Uchiyama; Shogo Watada; Takashi Kuremoto; Shingo Mabu; Kunikazu Kobayashi (SMC, 2013)

A method for analyzing the spatiotemporal changes of chaotic neural networks. - Shun Watanabe; Takashi Kuremoto; Kunikazu Kobayashi; Masanao Obayashi (Artif. Life Robotics, 2013)

Enhanced decision making mechanism of rule-based genetic network programming for creating stock trading signals. - Shingo Mabu; Kotaro Hirasawa; Masanao Obayashi; Takashi Kuremoto (Expert Syst. Appl., 2013)

A gesture recognition system with retina-V1 model and one-pass dynamic programming. - Takashi Kuremoto; Yasuhiro Kinoshita; Liang-Bing Feng; Shun Watanabe; Kunikazu Kobayashi; Masanao Obayashi (Neurocomputing, 2013)

An Improved Reinforcement Learning System Using Affective Factors. - Takashi Kuremoto; Tetsuya Tsurusaki; Kunikazu Kobayashi; Shingo Mabu; Masanao Obayashi (Robotics, 2013)

How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems. - Takashi Kuremoto; Masanao Obayashi; Kunikazu Kobayashi; Shingo Mabu (ICSI (1), 2014)

Ensemble learning of rule-based evolutionary algorithm using multi layer perceptron for stock trading models. - Shingo Mabu; Masanao Obayashi; Takashi Kuremoto (SCIS&ISIS, 2014)

One dimensional ring type growing SOM with asymmetric neighborhood function and its application to a hand shape instruction learning system. - Takashi Kuremoto; Takuhiro Otani; Masanao Obayashi; Kunikazu Kobayashi; Shingo Mabu (SNPD, 2014)

A variable size mechanism of distributed graph programs and its performance evaluation in agent control problems. - Shingo Mabu; Kotaro Hirasawa; Masanao Obayashi; Takashi Kuremoto (Expert Syst. Appl., 2014)

One-D-R-A-G-SOM and its Application to a Hand Shape Instruction Learning System. - Takashi Kuremoto; Takuhiro Otani; Shingo Mabu; Masanao Obayashi; Kunikazu Kobayashi (Int. J. Networked Distributed Comput., 2014)

Time series forecasting using a deep belief network with restricted Boltzmann machines. - Takashi Kuremoto; Shinsuke Kimura; Kunikazu Kobayashi; Masanao Obayashi (Neurocomputing, 2014)

A Decision Making System of Robots Introducing a Re-construction of Emotions Based on Their Own Experiences. - Shogo Watada; Masanao Obayashi; Takashi Kuremoto; Shingo Mabu (J. Robotics Netw. Artif. Life, 2014)

The Recollection Characteristics of Generalized MCNN Using Different Control Methods. - Shun Watanabe; Takashi Kuremoto; Shingo Mabu; Masanao Obayashi; Kunikazu Kobayashi (J. Robotics Netw. Artif. Life, 2014)

An Autonomous Mobile Robot with Functions of Action Learning, Memorizing, Recall and Identifying the Environment Using Gaussian Mixture Model. - Masanao Obayashi; Taiki Yamane; Takashi Kuremoto; Shingo Mabu; Kunikazu Kobayashi (ICONIP (1), 2015)

Evolutionary Rule Based Clustering for Making Fuzzy Object Oriented Database Models. - Wirarama Wedashwara; Shingo Mabu; Masanao Obayashi; Takashi Kuremoto (IIAI-AAI, 2015)

An Extended Q Learning System with Emotion State to Make Up an Agent with Individuality. - Masanao Obayashi; Shunsuke Uto; Takashi Kuremoto; Shingo Mabu; Kunikazu Kobayashi (IJCCI (NCTA), 2015)

An Emotional Robot. - Masanao Obayashi; Shunsuke Uto; Takashi Kuremoto; Shingo Mabu; Kunikazu Kobayashi (IJCCI (Selected Papers), 2015)

Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems. - Shingo Mabu; Masanao Obayashi; Takashi Kuremoto (Appl. Soft Comput., 2015)

Reinforcement Learning with Symbiotic Relationships for Multiagent Environments. - Shingo Mabu; Masanao Obayashi; Takashi Kuremoto (J. Robotics Netw. Artif. Life, 2015)

On-line Rule Updating System Using Evolutionary Computation for Managing Distributed Database. - Wirarama Wedashwara; Shingo Mabu; Masanao Obayashi; Takashi Kuremoto (J. Robotics Netw. Artif. Life, 2015)

Leader-Follower Formation Control Using Cerebellar Perceptron Improved Model with Auto-structuring. - Masanao Obayashi; Takeshi Aridome; Takashi Kuremoto; Shingo Mabu (CSE/EUC/DCABES, 2016)

Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting. - Takaomi Hirata; Takashi Kuremoto; Masanao Obayashi; Shingo Mabu; Kunikazu Kobayashi (ICONIP (3), 2016)

RP-AG-SOM: A Growing Self-organizing Map with Assymetric Neighborhood Function and Variable Radius. - Takashi Kuremoto; Yuya Kuzukami; Masanao Obayashi; Shingo Mabu; Kunikazu Kobayashi (IntelliSys (1), 2016)

A random-forests-based classifier using class association rules and its application to an intrusion detection system. - Shingo Mabu; Shun Gotoh; Masanao Obayashi; Takashi Kuremoto (Artif. Life Robotics, 2016)

Combination of genetic network programming and knapsack problem to support record clustering on distributed databases. - Wirarama Wedashwara; Shingo Mabu; Masanao Obayashi; Takashi Kuremoto (Expert Syst. Appl., 2016)

A hand shape instruction recognition and learning system using growing SOM with asymmetric neighborhood function. - Takashi Kuremoto; Takuhiro Otani; Masanao Obayashi; Kunikazu Kobayashi; Shingo Mabu (Neurocomputing, 2016)

An Evolutionary Algorithm for Making Decision Graphs for Classification Problems. - Shingo Mabu; Masanao Obayashi; Takashi Kuremoto (J. Robotics Netw. Artif. Life, 2016)

An Optimization of Spatio-Spectral Filter Bank Design for EEG Classification. - Masanao Obayashi; Takuya Geshi; Takashi Kuremoto; Shingo Mabu (J. Robotics Netw. Artif. Life, 2016)

Leader-Follower Adaptive Formation Control without Observation of Agent's Velocity Using Wavelet Neural Network. - Masanao Obayashi; Takeshi Aridome; Takashi Kuremoto; Shingo Mabu (ICMLC, 2017)

Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns. - Shingo Mabu; Masanao Obayashi; Takashi Kuremoto; Noriaki Hashimoto; Yasushi Hirano; Shoji Kido (Int. J. Comput. Assist. Radiol. Surg., 2017)

A Rule-Based Classification System Enhanced by Multi-Objective Genetic Algorithm. - Shingo Mabu; Kenzoh Azakami; Masanao Obayashi; Takashi Kuremoto (J. Robotics Netw. Artif. Life, 2017)

A Visual System of Citrus Picking Robot Using Convolutional Neural Networks. - Yan-Ping Liu; Chang-Hui Yang; Huang Ling; Shingo Mabu; Takashi Kuremoto (ICSAI, 2018)

Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information. - Shingo Mabu; Shoji Kido; Noriaki Hashimoto; Yasushi Hirano; Takashi Kuremoto (Computer-Aided Diagnosis, 2018)

Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning. - Takaomi Hirata; Takashi Kuremoto; Masanao Obayashi; Shingo Mabu; Kunikazu Kobayashi (J. Robotics Netw. Artif. Life, 2018)

Enhancing EEG Signals Recognition Using ROC Curve. - Takashi Kuremoto; Yuki Baba; Masanao Obayashi; Shingo Mabu; Kunikazu Kobayashi (J. Robotics Netw. Artif. Life, 2018)

Unsupervised Image Classification Using Multi-Autoencoder and K-means++. - Shingo Mabu; Kyoichiro Kobayashi; Masanao Obayashi; Takashi Kuremoto (J. Robotics Netw. Artif. Life, 2018)

Summarizing Articles into Sentences by Hierarchical Attention Model and RNN Language Model. - Takashi Kuremoto; Takuji Tsuruda; Shingo Mabu (CISP-BMEI, 2019)

An Improved Fuzzy Neural Network for Reinforcement Learning. - Takashi Kuremoto; Hiroki Matsusaka; Masanao Obayashi; Shingo Mabu; Kunikazu Kobayashi (ICBDR, 2019)

Disaster Area Detection from Synthetic Aperture Radar Images Using Convolutional Autoencoder and One-class SVM. - Shingo Mabu; Kohki Fujita; Takashi Kuremoto (J. Robotics Netw. Artif. Life, 2019)

Investigating the Effects of Transfer Learning on ROI-based Classification of Chest CT Images: A Case Study on Diffuse Lung Diseases. - Shingo Mabu; Ami Atsumo; Shoji Kido; Takashi Kuremoto; Yasushi Hirano (J. Signal Process. Syst., 2020)

Search Heuristics for the Optimization of DBN for Time Series Forecasting. - Takashi Kuremoto; Takaomi Hirata; Masanao Obayashi; Kunikazu Kobayashi; Shingo Mabu (Deep Neural Evolution, 2020)

Semi-supervised CycleGAN for domain transformation of chest CT images and its application to opacity classification of diffuse lung diseases. - Shingo Mabu; Masashi Miyake; Takashi Kuremoto; Shoji Kido (Int. J. Comput. Assist. Radiol. Surg., 2021)

Anomaly Detection Using Convolutional Adversarial Autoencoder and One-class SVM for Landslide Area Detection from Synthetic Aperture Radar Images. - Shingo Mabu; Soichiro Hirata; Takashi Kuremoto (J. Robotics Netw. Artif. Life, 2021)

The Potential of Seat Shaking for Balance Improvement in Older Adult. - Runhong Yao; Kouji Yamada; Masahiro Kudo; Yushi Asaoka; Takashi Kuremoto; Yoshifumi Morita (i-CREATe, 2024)