Kunikazu Kobayashi

54 papers B 4C 3Journal 23Unranked 22

Year	Rank	Type	Title / Venue / Authors
2020	—	`ch.`	Search Heuristics for the Optimization of DBN for Time Series Forecasting. Deep Neural Evolution Takashi Kuremoto, Takaomi Hirata, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
2019	—	`conf`	An Improved Fuzzy Neural Network for Reinforcement Learning. ICBDR Takashi Kuremoto, Hiroki Matsusaka, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
2018	J	`jnl`	Enhancing EEG Signals Recognition Using ROC Curve. J. Robotics Netw. Artif. Life Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
2018	J	`jnl`	Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning. J. Robotics Netw. Artif. Life Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
2017	—	`conf`	Eating progress estimation based on depth images for medication management support. ICAR Takuo Suzuki, Marina Nakagawa, Kunikazu Kobayashi
2016	J	`jnl`	A hand shape instruction recognition and learning system using growing SOM with asymmetric neighborhood function. Neurocomputing Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
2016	—	`conf`	Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting. ICONIP (3) Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
2016	J	`jnl`	Improvement of Computational Efficiency of Unscented Particle Filter by Automatically Adjusting the Number of Particles. J. Robotics Netw. Artif. Life Kenta Hidaka, Takuo Suzuki, Kunikazu Kobayashi
2016	—	`conf`	RP-AG-SOM: A Growing Self-organizing Map with Assymetric Neighborhood Function and Variable Radius. IntelliSys (1) Takashi Kuremoto, Yuya Kuzukami, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
2015	—	`conf`	An Autonomous Mobile Robot with Functions of Action Learning, Memorizing, Recall and Identifying the Environment Using Gaussian Mixture Model. ICONIP (1) Masanao Obayashi, Taiki Yamane, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
2015	—	`conf`	An Emotional Robot. IJCCI (Selected Papers) Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
2015	—	`conf`	An Extended Q Learning System with Emotion State to Make Up an Agent with Individuality. IJCCI (NCTA) Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
2015	J	`jnl`	Developing a Dividual Model Using a Modular Neural Network for Human-Robot Interaction. J. Robotics Netw. Artif. Life Toshiyuki Tanaka, Kunikazu Kobayashi
2014	—	`conf`	A Hand Shape Instruction Recognition and Learning System Using Growing SOM with Asymmetric Neighborhood Function. ICIC (1) Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
2014	C	`conf`	A Method to Estimate Ball's State of Spin by Image Processing for Improving Strategies in the RoboCup Small-Size-Robot League. RoboCup Yuji Nunome, Kazuhito Murakami, Masahide Ito, Kunikazu Kobayashi, Tadashi Naruse
2014	J	`jnl`	An Action Selection Method Using Degree of Cooperation in a Multi-agent Reinforcement Learning System. J. Robotics Netw. Artif. Life Masanori Kawamura, Kunikazu Kobayashi
2014	—	`conf`	How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems. ICSI (1) Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
2014	C	`conf`	One dimensional ring type growing SOM with asymmetric neighborhood function and its application to a hand shape instruction learning system. SNPD Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
2014	J	`jnl`	One-D-R-A-G-SOM and its Application to a Hand Shape Instruction Learning System. Int. J. Networked Distributed Comput. Takashi Kuremoto, Takuhiro Otani, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi
2014	J	`jnl`	The Recollection Characteristics of Generalized MCNN Using Different Control Methods. J. Robotics Netw. Artif. Life Shun Watanabe, Takashi Kuremoto, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi
2014	J	`jnl`	Time series forecasting using a deep belief network with restricted Boltzmann machines. Neurocomputing Takashi Kuremoto, Shinsuke Kimura, Kunikazu Kobayashi, Masanao Obayashi
2013	—	`conf`	A Model of Emotional Intelligent Agent for Cooperative Goal Exploration. ICIC (1) Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi
2013	J	`jnl`	A gesture recognition system with retina-V1 model and one-pass dynamic programming. Neurocomputing Takashi Kuremoto, Yasuhiro Kinoshita, Liang-Bing Feng, Shun Watanabe, Kunikazu Kobayashi, Masanao Obayashi
2013	J	`jnl`	A method for analyzing the spatiotemporal changes of chaotic neural networks. Artif. Life Robotics Shun Watanabe, Takashi Kuremoto, Kunikazu Kobayashi, Masanao Obayashi
2013	B	`conf`	Adaptive Control System Based on Self-Organizing Wavelet Neural Network with H8 Tracking Performance Compensator. SMC Masanao Obayashi, Takuya Kamikariya, Shogo Uchiyama, Shogo Watada, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
2013	J	`jnl`	An Improved Reinforcement Learning System Using Affective Factors. Robotics Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi
2013	C	`conf`	Analyzing and Learning an Opponent's Strategies in the RoboCup Small Size League. RoboCup Kotaro Yasui, Kunikazu Kobayashi, Kazuhito Murakami, Tadashi Naruse
2012	B	`conf`	An emotional model embedded reinforcement learning system. SMC Masanao Obayashi, Takahiro Takuno, Takashi Kuremoto, Kunikazu Kobayashi
2012	—	`conf`	Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree. ICONIP (3) Kunikazu Kobayashi, Tadashi Kurano, Takashi Kuremoto, Masanao Obayashi
2012	J	`jnl`	Handwriting character classification using Freeman's olfactory KIII model. Artif. Life Robotics Masanao Obayashi, Shinnosuke Koga, Liang-Bing Feng, Takashi Kuremoto, Kunikazu Kobayashi
2012	—	`conf`	Time Series Forecasting Using Restricted Boltzmann Machine. ICIC (3) Takashi Kuremoto, Shinsuke Kimura, Kunikazu Kobayashi, Masanao Obayashi
2011	—	`conf`	A Gesture Recognition System Using One-Pass DP Method. ICIC (2) Takashi Kuremoto, Yasuhiro Kinoshita, Liang-Bing Feng, Shun Watanabe, Kunikazu Kobayashi, Masanao Obayashi
2011	—	`conf`	An Action Selection Method Based on Estimation of Other's Intention in Time-Varying Multi-agent Environments. ICONIP (3) Kunikazu Kobayashi, Ryu Kanehira, Takashi Kuremoto, Masanao Obayashi
2011	J	`jnl`	An Improved Internal Model of Autonomous Robots by a Psychological Approach. Cogn. Comput. Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Liang-Bing Feng
2010	—	`conf`	Autonomic Behaviors of Swarm Robots Driven by Emotion and Curiosity. LSMS/ICSEE Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Liang-Bing Feng
2010	J	`jnl`	Intelligent agent construction using the attentive characteristic patterns of chaotic neural networks. Artif. Life Robotics Masanao Obayashi, Liang-Bing Feng, Takashi Kuremoto, Kunikazu Kobayashi
2010	J	`jnl`	Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System. J. Robotics Takashi Kuremoto, Takahito Komoto, Kunikazu Kobayashi, Masanao Obayashi
2009	—	`conf`	A Functional Model of Limbic System of Brain. Brain Informatics Takashi Kuremoto, Tomonori Ohta, Kunikazu Kobayashi, Masanao Obayashi
2009	—	`conf`	A Meta-learning Method Based on Temporal Difference Error. ICONIP (1) Kunikazu Kobayashi, Hiroyuki Mizoue, Takashi Kuremoto, Masanao Obayashi
2009	J	`jnl`	A dynamic associative memory system by adopting an amygdala model. Artif. Life Robotics Takashi Kuremoto, Tomonori Ohta, Kunikazu Kobayashi, Masanao Obayashi
2009	J	`jnl`	A reinforcement learning method based on an immune network adapted to a semi-Markov decision process. Artif. Life Robotics Nagahisa Kogawa, Masanao Obayashi, Kunikazu Kobayashi, Takashi Kuremoto
2009	J	`jnl`	A robust reinforcement learning using the concept of sliding mode control. Artif. Life Robotics Masanao Obayashi, N. Nakahara, Takashi Kuremoto, Kunikazu Kobayashi
2009	J	`jnl`	Adaptive swarm behavior acquisition by a neuro-fuzzy system and reinforcement learning algorithm. Int. J. Intell. Comput. Cybern. Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi
2009	J	`jnl`	An Improved Internal Model for Swarm Formation and Adaptive Swarm Behavior Acquisition. J. Circuits Syst. Comput. Takashi Kuremoto, Yuki Yamano, Masanao Obayashi, Kunikazu Kobayashi
2008	—	`conf`	A Bayesian Local Linear Wavelet Neural Network. ICONIP (2) Kunikazu Kobayashi, Masanao Obayashi, Takashi Kuremoto
2008	—	`conf`	A Neuro-fuzzy Learning System for Adaptive Swarm Behaviors Dealing with Continuous State Space. ICIC (2) Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Hirotaka Adachi, Kentaro Yoneda
2008	—	`conf`	A Self-Organized Fuzzy-Neuro Reinforcement Learning System for Continuous State Space for Autonomous Robots. CIMCA/IAWTIC/ISE Masanao Obayashi, Takashi Kuremoto, Kunikazu Kobayashi
2008	B	`conf`	A reinforcement learning system for swarm behaviors. IJCNN Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Hirotaka Adachi, Kentaro Yoneda
2007	—	`ch.`	A Hippocampus-Neocortex Model for Chaotic Association. Trends in Neural Computation Takashi Kuremoto, Tsuyoshi Eto, Kunikazu Kobayashi, Masanao Obayashi
2005	—	`conf`	A Chaotic Model of Hippocampus-Neocortex. ICNC (1) Takashi Kuremoto, Tsuyoshi Eto, Kunikazu Kobayashi, Masanao Obayashi
2005	—	`conf`	Nonlinear Prediction by Reinforcement Learning. ICIC (1) Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi
1999	B	`conf`	A new indirect encoding method with variable length gene code to optimize neural network structures. IJCNN Kunikazu Kobayashi, Masanao Ohbayashi
1995	J	`jnl`	Pattern separation function of two-layered random net with feedforward inhibitory connections. Syst. Comput. Jpn. Kunikazu Kobayashi, Toyoshi Torioka, Hajime Hara
1994	J	`jnl`	Fundamental consideration on self-formation of recognition cells. Neural Networks Kunikazu Kobayashi, Toyoshi Torioka, Nobuhiko Ikeda