Takashi Kuremoto

Publication Activity (10 Years)

Years Active: 2005-2021
Publications (10 Years): 22

Top Topics

Synthetic Aperture Radar Images

Reinforcement Learning

Top Venues

J. Robotics Netw. Artif. Life

Expert Syst. Appl.

Artif. Life Robotics

Publications

Shingo Mabu, Masashi Miyake, Takashi Kuremoto, Shoji Kido
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. 16 (11) (2021)
Shingo Mabu, Soichiro Hirata, Takashi Kuremoto
Anomaly Detection Using Convolutional Adversarial Autoencoder and One-class SVM for Landslide Area Detection from Synthetic Aperture Radar Images. J. Robotics Netw. Artif. Life 8 (2) (2021)
Shingo Mabu, Ami Atsumo, Shoji Kido, Takashi Kuremoto, Yasushi Hirano
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. 92 (3) (2020)
Shingo Mabu, Kohki Fujita, Takashi Kuremoto
Disaster Area Detection from Synthetic Aperture Radar Images Using Convolutional Autoencoder and One-class SVM. J. Robotics Netw. Artif. Life 6 (1) (2019)
Takashi Kuremoto, Hiroki Matsusaka, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
An Improved Fuzzy Neural Network for Reinforcement Learning. ICBDR (2019)
Takashi Kuremoto, Takuji Tsuruda, Shingo Mabu
Summarizing Articles into Sentences by Hierarchical Attention Model and RNN Language Model. CISP-BMEI (2019)
Shingo Mabu, Kyoichiro Kobayashi, Masanao Obayashi, Takashi Kuremoto
Unsupervised Image Classification Using Multi-Autoencoder and K-means++. J. Robotics Netw. Artif. Life 5 (1) (2018)
Shingo Mabu, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Takashi Kuremoto
Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information. Medical Imaging: Computer-Aided Diagnosis (2018)
Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning. J. Robotics Netw. Artif. Life 4 (4) (2018)
Yan-Ping Liu, Chang-Hui Yang, Huang Ling, Shingo Mabu, Takashi Kuremoto
A Visual System of Citrus Picking Robot Using Convolutional Neural Networks. ICSAI (2018)
Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Enhancing EEG Signals Recognition Using ROC Curve. J. Robotics Netw. Artif. Life 4 (4) (2018)
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Noriaki Hashimoto, Yasushi Hirano, Shoji Kido
Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns. Int. J. Comput. Assist. Radiol. Surg. 12 (3) (2017)
Masanao Obayashi, Takeshi Aridome, Takashi Kuremoto, Shingo Mabu
Leader-Follower Adaptive Formation Control without Observation of Agent's Velocity Using Wavelet Neural Network. ICMLC (2017)
Shingo Mabu, Kenzoh Azakami, Masanao Obayashi, Takashi Kuremoto
A Rule-Based Classification System Enhanced by Multi-Objective Genetic Algorithm. J. Robotics Netw. Artif. Life 4 (3) (2017)
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
An Evolutionary Algorithm for Making Decision Graphs for Classification Problems. J. Robotics Netw. Artif. Life 3 (1) (2016)
Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting. ICONIP (3) (2016)
Shingo Mabu, Shun Gotoh, Masanao Obayashi, Takashi Kuremoto
A random-forests-based classifier using class association rules and its application to an intrusion detection system. Artif. Life Robotics 21 (3) (2016)
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Combination of genetic network programming and knapsack problem to support record clustering on distributed databases. Expert Syst. Appl. 46 (2016)
Masanao Obayashi, Takeshi Aridome, Takashi Kuremoto, Shingo Mabu
Leader-Follower Formation Control Using Cerebellar Perceptron Improved Model with Auto-structuring. CSE/EUC/DCABES (2016)
Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
A hand shape instruction recognition and learning system using growing SOM with asymmetric neighborhood function. Neurocomputing 188 (2016)
Masanao Obayashi, Takuya Geshi, Takashi Kuremoto, Shingo Mabu
An Optimization of Spatio-Spectral Filter Bank Design for EEG Classification. J. Robotics Netw. Artif. Life 2 (4) (2016)
Takashi Kuremoto, Yuya Kuzukami, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
RP-AG-SOM: A Growing Self-organizing Map with Assymetric Neighborhood Function and Variable Radius. IntelliSys (1) (2016)
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Evolutionary Rule Based Clustering for Making Fuzzy Object Oriented Database Models. IIAI-AAI (2015)
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
On-line Rule Updating System Using Evolutionary Computation for Managing Distributed Database. J. Robotics Netw. Artif. Life 2 (2) (2015)
Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
An Emotional Robot. IJCCI (Selected Papers) (2015)
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems. Appl. Soft Comput. 36 (2015)
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Reinforcement Learning with Symbiotic Relationships for Multiagent Environments. J. Robotics Netw. Artif. Life 2 (1) (2015)
Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
An Extended Q Learning System with Emotion State to Make Up an Agent with Individuality. IJCCI (NCTA) (2015)
Masanao Obayashi, Taiki Yamane, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
An Autonomous Mobile Robot with Functions of Action Learning, Memorizing, Recall and Identifying the Environment Using Gaussian Mixture Model. ICONIP (1) (2015)
Takashi Kuremoto, Shinsuke Kimura, Kunikazu Kobayashi, Masanao Obayashi
Time series forecasting using a deep belief network with restricted Boltzmann machines. Neurocomputing 137 (2014)
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Ensemble learning of rule-based evolutionary algorithm using multi layer perceptron for stock trading models. SCIS&ISIS (2014)
Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
One dimensional ring type growing SOM with asymmetric neighborhood function and its application to a hand shape instruction learning system. SNPD (2014)
Shingo Mabu, Kotaro Hirasawa, Masanao Obayashi, Takashi Kuremoto
A variable size mechanism of distributed graph programs and its performance evaluation in agent control problems. Expert Syst. Appl. 41 (4) (2014)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems. ICSI (1) (2014)
Shun Watanabe, Takashi Kuremoto, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi
The Recollection Characteristics of Generalized MCNN Using Different Control Methods. J. Robotics Netw. Artif. Life 1 (1) (2014)
Shogo Watada, Masanao Obayashi, Takashi Kuremoto, Shingo Mabu
A Decision Making System of Robots Introducing a Re-construction of Emotions Based on Their Own Experiences. J. Robotics Netw. Artif. Life 1 (1) (2014)
Takashi Kuremoto, Takuhiro Otani, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi
One-D-R-A-G-SOM and its Application to a Hand Shape Instruction Learning System. Int. J. Networked Distributed Comput. 2 (3) (2014)
Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
A Hand Shape Instruction Recognition and Learning System Using Growing SOM with Asymmetric Neighborhood Function. ICIC (1) (2014)
Shingo Mabu, Kotaro Hirasawa, Masanao Obayashi, Takashi Kuremoto
Enhanced decision making mechanism of rule-based genetic network programming for creating stock trading signals. Expert Syst. Appl. 40 (16) (2013)
Masanao Obayashi, Takuya Kamikariya, Shogo Uchiyama, Shogo Watada, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
Adaptive Control System Based on Self-Organizing Wavelet Neural Network with H8 Tracking Performance Compensator. SMC (2013)
Takashi Kuremoto, Yasuhiro Kinoshita, Liang-Bing Feng, Shun Watanabe, Kunikazu Kobayashi, Masanao Obayashi
A gesture recognition system with retina-V1 model and one-pass dynamic programming. Neurocomputing 116 (2013)
Shingo Mabu, Kotaro Hirasawa, Masanao Obayashi, Takashi Kuremoto
A variable size mechanism of distributed graph programs for creating agent behaviors. IEEE Congress on Evolutionary Computation (2013)
Shun Watanabe, Takashi Kuremoto, Kunikazu Kobayashi, Masanao Obayashi
A method for analyzing the spatiotemporal changes of chaotic neural networks. Artif. Life Robotics 18 (3-4) (2013)
Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi
A Model of Emotional Intelligent Agent for Cooperative Goal Exploration. ICIC (1) (2013)
Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi
An Improved Reinforcement Learning System Using Affective Factors. Robotics 2 (3) (2013)
Kunikazu Kobayashi, Tadashi Kurano, Takashi Kuremoto, Masanao Obayashi
Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree. ICONIP (3) (2012)
Masanao Obayashi, Takahiro Takuno, Takashi Kuremoto, Kunikazu Kobayashi
An emotional model embedded reinforcement learning system. SMC (2012)
Masanao Obayashi, Shinnosuke Koga, Liang-Bing Feng, Takashi Kuremoto, Kunikazu Kobayashi
Handwriting character classification using Freeman's olfactory KIII model. Artif. Life Robotics 17 (2) (2012)
Takashi Kuremoto, Shinsuke Kimura, Kunikazu Kobayashi, Masanao Obayashi
Time Series Forecasting Using Restricted Boltzmann Machine. ICIC (3) (2012)
Takashi Kuremoto, Yasuhiro Kinoshita, Liang-Bing Feng, Shun Watanabe, Kunikazu Kobayashi, Masanao Obayashi
A Gesture Recognition System Using One-Pass DP Method. ICIC (2) (2011)
Kunikazu Kobayashi, Ryu Kanehira, Takashi Kuremoto, Masanao Obayashi
An Action Selection Method Based on Estimation of Other's Intention in Time-Varying Multi-agent Environments. ICONIP (3) (2011)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Liang-Bing Feng
An Improved Internal Model of Autonomous Robots by a Psychological Approach. Cogn. Comput. 3 (4) (2011)
Takashi Kuremoto, Takahito Komoto, Kunikazu Kobayashi, Masanao Obayashi
Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System. J. Robotics 2010 (2010)
Masanao Obayashi, Liang-Bing Feng, Takashi Kuremoto, Kunikazu Kobayashi
Intelligent agent construction using the attentive characteristic patterns of chaotic neural networks. Artif. Life Robotics 15 (2) (2010)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Liang-Bing Feng
Autonomic Behaviors of Swarm Robots Driven by Emotion and Curiosity. LSMS/ICSEE (2010)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi
Adaptive swarm behavior acquisition by a neuro-fuzzy system and reinforcement learning algorithm. Int. J. Intell. Comput. Cybern. 2 (4) (2009)
Kunikazu Kobayashi, Hiroyuki Mizoue, Takashi Kuremoto, Masanao Obayashi
A Meta-learning Method Based on Temporal Difference Error. ICONIP (1) (2009)
Masanao Obayashi, N. Nakahara, Takashi Kuremoto, Kunikazu Kobayashi
A robust reinforcement learning using the concept of sliding mode control. Artif. Life Robotics 13 (2) (2009)
Takashi Kuremoto, Tomonori Ohta, Kunikazu Kobayashi, Masanao Obayashi
A dynamic associative memory system by adopting an amygdala model. Artif. Life Robotics 13 (2) (2009)
Takashi Kuremoto, Yuki Yamano, Masanao Obayashi, Kunikazu Kobayashi
An Improved Internal Model for Swarm Formation and Adaptive Swarm Behavior Acquisition. J. Circuits Syst. Comput. 18 (8) (2009)
Takashi Kuremoto, Tomonori Ohta, Kunikazu Kobayashi, Masanao Obayashi
A Functional Model of Limbic System of Brain. Brain Informatics (2009)
Nagahisa Kogawa, Masanao Obayashi, Kunikazu Kobayashi, Takashi Kuremoto
A reinforcement learning method based on an immune network adapted to a semi-Markov decision process. Artif. Life Robotics 13 (2) (2009)
Masanao Obayashi, Takashi Kuremoto, Kunikazu Kobayashi
A Self-Organized Fuzzy-Neuro Reinforcement Learning System for Continuous State Space for Autonomous Robots. CIMCA/IAWTIC/ISE (2008)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Hirotaka Adachi, Kentaro Yoneda
A Neuro-fuzzy Learning System for Adaptive Swarm Behaviors Dealing with Continuous State Space. ICIC (2) (2008)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Hirotaka Adachi, Kentaro Yoneda
A reinforcement learning system for swarm behaviors. IJCNN (2008)
Kunikazu Kobayashi, Masanao Obayashi, Takashi Kuremoto
A Bayesian Local Linear Wavelet Neural Network. ICONIP (2) (2008)
Takashi Kuremoto, Tsuyoshi Eto, Kunikazu Kobayashi, Masanao Obayashi
A Chaotic Model of Hippocampus-Neocortex. ICNC (1) (2005)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi
Nonlinear Prediction by Reinforcement Learning. ICIC (1) (2005)