Takashi Kuremoto

73 papers B 4C 1Misc 1Journal 36Unranked 29

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Recognition of Guqin Music Notation of Jianzi Pu by Deep Learning Methods. J. Robotics Netw. Artif. Life Takashi Kuremoto, Kazuma Fujino, Hirokazu Takahashi, Shun Kuremoto, Mamiko Koshiba, Hiroo Hieda, Shingo Mabu
2025	—	`conf`	Shaking Stimulation Enhances Postural Stability in Older Adults with Comparative Effects of 5- and 10-Minute Protocols and Underlying Mechanisms. i-CREATe Runhong Yao, Kouji Yamada, Masahiro Kudo, Fumio Okuyama, Yusuke Morita, Isamu Yanagisawa, Yushi Asaoka, Fumiya Inagaki, Takashi Kuremoto
2024	—	`conf`	The Potential of Seat Shaking for Balance Improvement in Older Adult. i-CREATe Runhong Yao, Kouji Yamada, Masahiro Kudo, Yushi Asaoka, Takashi Kuremoto, Yoshifumi Morita
2021	J	`jnl`	Anomaly Detection Using Convolutional Adversarial Autoencoder and One-class SVM for Landslide Area Detection from Synthetic Aperture Radar Images. J. Robotics Netw. Artif. Life Shingo Mabu, Soichiro Hirata, Takashi Kuremoto
2021	J	`jnl`	Semi-supervised CycleGAN for domain transformation of chest CT images and its application to opacity classification of diffuse lung diseases. Int. J. Comput. Assist. Radiol. Surg. Shingo Mabu, Masashi Miyake, Takashi Kuremoto, Shoji Kido
2020	J	`jnl`	Investigating the Effects of Transfer Learning on ROI-based Classification of Chest CT Images: A Case Study on Diffuse Lung Diseases. J. Signal Process. Syst. Shingo Mabu, Ami Atsumo, Shoji Kido, Takashi Kuremoto, Yasushi Hirano
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
2019	J	`jnl`	Disaster Area Detection from Synthetic Aperture Radar Images Using Convolutional Autoencoder and One-class SVM. J. Robotics Netw. Artif. Life Shingo Mabu, Kohki Fujita, Takashi Kuremoto
2019	—	`conf`	Summarizing Articles into Sentences by Hierarchical Attention Model and RNN Language Model. CISP-BMEI Takashi Kuremoto, Takuji Tsuruda, Shingo Mabu
2018	—	`conf`	A Visual System of Citrus Picking Robot Using Convolutional Neural Networks. ICSAI Yan-Ping Liu, Chang-Hui Yang, Huang Ling, Shingo Mabu, Takashi Kuremoto
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
2018	—	`conf`	Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information. Computer-Aided Diagnosis Shingo Mabu, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Takashi Kuremoto
2018	J	`jnl`	Unsupervised Image Classification Using Multi-Autoencoder and K-means++. J. Robotics Netw. Artif. Life Shingo Mabu, Kyoichiro Kobayashi, Masanao Obayashi, Takashi Kuremoto
2017	J	`jnl`	A Rule-Based Classification System Enhanced by Multi-Objective Genetic Algorithm. J. Robotics Netw. Artif. Life Shingo Mabu, Kenzoh Azakami, Masanao Obayashi, Takashi Kuremoto
2017	Misc	`conf`	Leader-Follower Adaptive Formation Control without Observation of Agent's Velocity Using Wavelet Neural Network. ICMLC Masanao Obayashi, Takeshi Aridome, Takashi Kuremoto, Shingo Mabu
2017	J	`jnl`	Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns. Int. J. Comput. Assist. Radiol. Surg. Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Noriaki Hashimoto, Yasushi Hirano, Shoji Kido
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	J	`jnl`	A random-forests-based classifier using class association rules and its application to an intrusion detection system. Artif. Life Robotics Shingo Mabu, Shun Gotoh, Masanao Obayashi, Takashi Kuremoto
2016	J	`jnl`	An Evolutionary Algorithm for Making Decision Graphs for Classification Problems. J. Robotics Netw. Artif. Life Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
2016	J	`jnl`	An Optimization of Spatio-Spectral Filter Bank Design for EEG Classification. J. Robotics Netw. Artif. Life Masanao Obayashi, Takuya Geshi, Takashi Kuremoto, Shingo Mabu
2016	J	`jnl`	Combination of genetic network programming and knapsack problem to support record clustering on distributed databases. Expert Syst. Appl. Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
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	—	`conf`	Leader-Follower Formation Control Using Cerebellar Perceptron Improved Model with Auto-structuring. CSE/EUC/DCABES Masanao Obayashi, Takeshi Aridome, Takashi Kuremoto, Shingo Mabu
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`	Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems. Appl. Soft Comput. Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
2015	—	`conf`	Evolutionary Rule Based Clustering for Making Fuzzy Object Oriented Database Models. IIAI-AAI Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
2015	J	`jnl`	On-line Rule Updating System Using Evolutionary Computation for Managing Distributed Database. J. Robotics Netw. Artif. Life Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
2015	J	`jnl`	Reinforcement Learning with Symbiotic Relationships for Multiagent Environments. J. Robotics Netw. Artif. Life Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
2014	J	`jnl`	A Decision Making System of Robots Introducing a Re-construction of Emotions Based on Their Own Experiences. J. Robotics Netw. Artif. Life Shogo Watada, Masanao Obayashi, Takashi Kuremoto, Shingo Mabu
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	J	`jnl`	A variable size mechanism of distributed graph programs and its performance evaluation in agent control problems. Expert Syst. Appl. Shingo Mabu, Kotaro Hirasawa, Masanao Obayashi, Takashi Kuremoto
2014	—	`conf`	Ensemble learning of rule-based evolutionary algorithm using multi layer perceptron for stock trading models. SCIS&ISIS Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
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`	A variable size mechanism of distributed graph programs for creating agent behaviors. IEEE Congress on Evolutionary Computation Shingo Mabu, Kotaro Hirasawa, Masanao Obayashi, Takashi Kuremoto
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	J	`jnl`	Enhanced decision making mechanism of rule-based genetic network programming for creating stock trading signals. Expert Syst. Appl. Shingo Mabu, Kotaro Hirasawa, Masanao Obayashi, Takashi Kuremoto
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