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Takashi Kuremoto
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2020 – today
- 2021
- [j35]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): 1925-1935 (2021) - [j34]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): 139-144 (2021) - 2020
- [j33]Shingo Mabu
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): 307-313 (2020) - [p2]Takashi Kuremoto, Takaomi Hirata, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
Search Heuristics for the Optimization of DBN for Time Series Forecasting. Deep Neural Evolution 2020: 131-152
2010 – 2019
- 2019
- [j32]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): 48-51 (2019) - [c33]Takashi Kuremoto, Takuji Tsuruda, Shingo Mabu:
Summarizing Articles into Sentences by Hierarchical Attention Model and RNN Language Model. CISP-BMEI 2019: 1-6 - [c32]Takashi Kuremoto, Hiroki Matsusaka, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi:
An Improved Fuzzy Neural Network for Reinforcement Learning. ICBDR 2019: 88-93 - 2018
- [j31]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): 260-264 (2018) - [j30]Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi:
Enhancing EEG Signals Recognition Using ROC Curve. J. Robotics Netw. Artif. Life 4(4): 283-286 (2018) - [j29]Shingo Mabu, Kyoichiro Kobayashi, Masanao Obayashi, Takashi Kuremoto:
Unsupervised Image Classification Using Multi-Autoencoder and K-means++. J. Robotics Netw. Artif. Life 5(1): 75-78 (2018) - [c31]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: 344-349 - [c30]Shingo Mabu, Shoji Kido
Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information. Computer-Aided Diagnosis 2018: 1057534 - 2017
- [j28]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): 519-528 (2017) - [j27]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): 239-242 (2017) - [c29]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: 172-178 - 2016
- [j26]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): 371-377 (2016) - [j25]Wirarama Wedashwara
Combination of genetic network programming and knapsack problem to support record clustering on distributed databases. Expert Syst. Appl. 46: 15-23 (2016) - [j24]Takashi Kuremoto
A hand shape instruction recognition and learning system using growing SOM with asymmetric neighborhood function. Neurocomputing 188: 31-41 (2016) - [j23]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): 217-220 (2016) - [j22]Shingo Mabu, Masanao Obayashi, Takashi Kuremoto:
An Evolutionary Algorithm for Making Decision Graphs for Classification Problems. J. Robotics Netw. Artif. Life 3(1): 45-49 (2016) - [c28]Masanao Obayashi, Takeshi Aridome, Takashi Kuremoto, Shingo Mabu:
Leader-Follower Formation Control Using Cerebellar Perceptron Improved Model with Auto-structuring. CSE/EUC/DCABES 2016: 423-431 - [c27]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: 30-37 - [c26]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: 404-418 - 2015
- [j21]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: 357-367 (2015) - [j20]Shingo Mabu, Masanao Obayashi, Takashi Kuremoto:
Reinforcement Learning with Symbiotic Relationships for Multiagent Environments. J. Robotics Netw. Artif. Life 2(1): 40-45 (2015) - [j19]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): 73-78 (2015) - [c25]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: 272-282 - [c24]Wirarama Wedashwara
Evolutionary Rule Based Clustering for Making Fuzzy Object Oriented Database Models. IIAI-AAI 2015: 517-522 - [c23]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: 70-78 - [c22]Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi:
An Emotional Robot. IJCCI (Selected Papers) 2015: 423-443 - 2014
- [j18]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): 1663-1671 (2014) - [j17]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): 166-174 (2014) - [j16]Takashi Kuremoto, Shinsuke Kimura, Kunikazu Kobayashi, Masanao Obayashi:
Time series forecasting using a deep belief network with restricted Boltzmann machines. Neurocomputing 137: 47-56 (2014) - [j15]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): 27-32 (2014) - [j14]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): 73-79 (2014) - [c21]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: 269-276 - [c20]Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems. ICSI (1) 2014: 324-331 - [c19]Shingo Mabu, Masanao Obayashi, Takashi Kuremoto:
Ensemble learning of rule-based evolutionary algorithm using multi layer perceptron for stock trading models. SCIS&ISIS 2014: 624-629 - [c18]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: 1-6 - 2013
- [j13]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): 196-203 (2013) - [j12]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): 6311-6320 (2013) - [j11]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: 291-300 (2013) - [j10]Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi:
An Improved Reinforcement Learning System Using Affective Factors. Robotics 2(3): 149-164 (2013) - [c17]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: 1756-1762 - [c16]Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi:
A Model of Emotional Intelligent Agent for Cooperative Goal Exploration. ICIC (1) 2013: 21-30 - [c15]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: 3232-3237 - 2012
- [j9]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): 227-232 (2012) - [c14]Takashi Kuremoto, Shinsuke Kimura, Kunikazu Kobayashi, Masanao Obayashi:
Time Series Forecasting Using Restricted Boltzmann Machine. ICIC (3) 2012: 17-22 - [c13]Kunikazu Kobayashi, Tadashi Kurano, Takashi Kuremoto, Masanao Obayashi:
Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree. ICONIP (3) 2012: 537-544 - [c12]Masanao Obayashi, Takahiro Takuno, Takashi Kuremoto, Kunikazu Kobayashi:
An emotional model embedded reinforcement learning system. SMC 2012: 1058-1063 - 2011
- [j8]Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Liang-Bing Feng:
An Improved Internal Model of Autonomous Robots by a Psychological Approach. Cogn. Comput. 3(4): 501-509 (2011) - [c11]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: 581-587 - [c10]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: 76-85 - 2010
- [j7]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): 216-220 (2010) - [j6]Takashi Kuremoto, Takahito Komoto, Kunikazu Kobayashi, Masanao Obayashi:
Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System. J. Robotics 2010: 307293:1-307293:9 (2010) - [c9]Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Liang-Bing Feng:
Autonomic Behaviors of Swarm Robots Driven by Emotion and Curiosity. LSMS/ICSEE 2010: 541-547
2000 – 2009
- 2009
- [j5]Takashi Kuremoto, Tomonori Ohta, Kunikazu Kobayashi, Masanao Obayashi:
A dynamic associative memory system by adopting an amygdala model. Artif. Life Robotics 13(2): 478-482 (2009) - [j4]Masanao Obayashi, N. Nakahara, Takashi Kuremoto, Kunikazu Kobayashi:
A robust reinforcement learning using the concept of sliding mode control. Artif. Life Robotics 13(2): 526-530 (2009) - [j3]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): 538-542 (2009) - [j2]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): 724-744 (2009) - [j1]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): 1517-1531 (2009) - [c8]Takashi Kuremoto, Tomonori Ohta, Kunikazu Kobayashi, Masanao Obayashi:
A Functional Model of Limbic System of Brain. Brain Informatics 2009: 135-146 - [c7]Kunikazu Kobayashi, Hiroyuki Mizoue, Takashi Kuremoto, Masanao Obayashi:
A Meta-learning Method Based on Temporal Difference Error. ICONIP (1) 2009: 530-537 - 2008
- [c6]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: 551-556 - [c5]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: 675-683 - [c4]Kunikazu Kobayashi, Masanao Obayashi, Takashi Kuremoto:
A Bayesian Local Linear Wavelet Neural Network. ICONIP (2) 2008: 147-154 - [c3]Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Hirotaka Adachi, Kentaro Yoneda:
A reinforcement learning system for swarm behaviors. IJCNN 2008: 3711-3716 - 2007
- [p1]Takashi Kuremoto, Tsuyoshi Eto, Kunikazu Kobayashi, Masanao Obayashi:
A Hippocampus-Neocortex Model for Chaotic Association. Trends in Neural Computation 2007: 111-133 - 2005
- [c2]Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi:
Nonlinear Prediction by Reinforcement Learning. ICIC (1) 2005: 1085-1094 - [c1]Takashi Kuremoto, Tsuyoshi Eto, Kunikazu Kobayashi, Masanao Obayashi:
A Chaotic Model of Hippocampus-Neocortex. ICNC (1) 2005: 439-448
Coauthor Index
[p2] [c32] [j31] [j30] [j29] [j28] [j27] [c29] [j26] [j25] [j24] [j23] [j22] [c28] [c27] [c26] [j21] [j20] [j19] [c25] [c24] [c23] [c22] [j18] [j17] [j16] [j15] [j14] [c21] [c20] [c19] [c18] [j13] [j12] [j11] [j10] [c17] [c16] [c15] [j9] [c14] [c13] [c12] [j8] [c11] [c10] [j7] [j6] [c9] [j5] [j4] [j3] [j2] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [p1] [c2] [c1]
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