Masumi Ishikawa

Aiko Uemura, Jiro Katto, Kyota Higa, Masumi Ishikawa, Toshiyuki Nomura: Music Part Segmentation in Music TV Programs Based on Chroma Vector Analysis. ISM 2012: 32-35

Hong Zhang, Masumi Ishikawa: The performance verification of an evolutionary canonical particle swarm optimizer. Neural Networks 23(4): 510-516 (2010)

Keiji Kamei, Masumi Ishikawa: Adaptive Decision Making in Ant Colony System by Reinforcement Learning. ICONIP (1) 2010: 609-617

Masumi Ishikawa, Masahiro Nagamatsu, Takao Hagiwara, Naoyuki Yamamoto, Fumiko Kiriake, Takehiko Nishida, Takeshi Yamakawa, Kazuo Ishii, Hideki Nakagawa, Hong Zhang: Brain-Inspired Emergence of Behaviors Based on Values and Curiosity in Mobile Robots. Brain-Inspired Information Technology 2010: 33-38

Takao Hagiwara, Masumi Ishikawa: Emergence of Behaviors by Reinforcement Learning Based on the Desire for Existence. Brain-Inspired Information Technology 2010: 39-44

Fumiko Kiriake, Masumi Ishikawa: Classification and Novelty Detection of Omni-view Images Taken from a Mobile Robot. Brain-Inspired Information Technology 2010: 45-49

Naoyuki Yamamoto, Masumi Ishikawa: Curiosity and Boredom Based on Prediction Error as Novel Internal Rewards. Brain-Inspired Information Technology 2010: 51-55

Keiji Kamei, Masumi Ishikawa: Skill Transfer of a Mobile Robot Obtained by Reinforcement Learning to a Different Mobile Robot. Brain-Inspired Information Technology 2010: 57-62

Hong Zhang, Masumi Ishikawa: Effect of Fitness Functions on the Performance of Evolutionary Particle Swarm Optimization. Brain-Inspired Information Technology 2010: 63-68

Hong Zhang, Masumi Ishikawa: Characterization of particle swarm optimization with diversive curiosity. Neural Computing and Applications 18(5): 409-415 (2009)

Masumi Ishikawa, Kosuke Ueno: Hierarchical Architecture with Modular Network SOM and Modular Reinforcement Learning. ICANN (1) 2009: 546-556

Youbo Cai, Masumi Ishikawa: Surprise-Driven Exploration with Rao-Blackwellized Particle Filters for Efficiently Constructing Occupancy Grid Maps. ICONIP (2) 2009: 420-429

Masumi Ishikawa, Kenji Doya: Mini-special issue: ICONIP 2007. Neural Networks 21(10): 1419 (2008)

Masumi Ishikawa, Takao Hagiwara, Naoyuki Yamamoto, Fumiko Kiriake: Brain-Inspired Emergence of Behaviors in Mobile Robots by Reinforcement Learning with Internal Rewards. HIS 2008: 138-143

Hong Zhang, Masumi Ishikawa: Evolutionary Canonical Particle Swarm Optimizer - A Proposal of Meta-optimization in Model Selection. ICANN (1) 2008: 472-481

Mikio Morita, Masumi Ishikawa: Brain-Inspired Emergence of Behaviors Based on the Desire for Existence by Reinforcement Learning. ICONIP (1) 2008: 763-770

M. Aziz Muslim, Masumi Ishikawa: Formation of graph-based maps for mobile robots using Hidden Markov Models. IJCNN 2008: 3099-3105

Masumi Ishikawa, Kenji Doya, Hiroyuki Miyamoto, Takeshi Yamakawa (Eds.): Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I. Lecture Notes in Computer Science 4984, Springer 2008, isbn 978-3-540-69154-9

Masumi Ishikawa, Kenji Doya, Hiroyuki Miyamoto, Takeshi Yamakawa (Eds.): Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II. Lecture Notes in Computer Science 4985, Springer 2008, isbn 978-3-540-69159-4

Alireza Ahrary, Li Tian, Sei-ichiro Kamata, Masumi Ishikawa: Navigation of an Autonomous Sewer Inspection Robot Based on Stereo Camera Images and Laser Scanner Data. International Journal on Artificial Intelligence Tools 16(4): 611-625 (2007)

M. Aziz Muslim, Masumi Ishikawa, Tetsuo Furukawa: Task segmentation in a mobile robot by mnSOM: a new approach to training expert modules. Neural Computing and Applications 16(6): 571-580 (2007)

M. Aziz Muslim, Masumi Ishikawa, Tetsuo Furukawa: Task Segmentation in a Mobile Robot by mnSOM and Clustering with Spatio-temporal Contiguity. ICONIP (2) 2007: 1075-1084

Hong Zhang, Masumi Ishikawa: Evolutionary Particle Swarm Optimization (EPSO) - Estimation of Optimal PSO Parameters by GA. IMECS 2007: 13-18

Alireza Ahrary, Masumi Ishikawa, M. Okada: Experimental evaluation of intelligent fault detection system for inspection of sewer pipes. IROS 2007: 1248-1253

Fredrik Linåker, Masumi Ishikawa: Robot Localization Using Vision. Trends in Neural Computation 2007: 483-512

Fredrik Linåker, Masumi Ishikawa: Real-time appearance-based Monte Carlo localization. Robotics and Autonomous Systems 54(3): 205-220 (2006)

Hong Zhang, Masumi Ishikawa: An Evolutionary Approach to Data Classification - Hybrid Real-Coded Genetic Algorithm with Pruning. IJCNN 2006: 2926-2931

M. Aziz Muslim, Masumi Ishikawa, Tetsuo Furukawa: A New Approach to Task Segmentation in Mobile Robots by mnSOM. IJCNN 2006: 3510-3517

Hong Zhang, Masumi Ishikawa: Performance Improvement of Hybrid Real-Coded Genetic Algorithm with Local Search and Its Applications. CIMCA/IAWTIC 2005: 1171-1176

Alireza Ahrary, Li Tian, Sei-ichiro Kamata, Masumi Ishikawa: An Autonomous Sewer Robots Navigation Based on Stereo Camera Information. ICTAI 2005: 628-633

Masumi Ishikawa, Shuji Hashimoto, Marcin Paprzycki, Emilia I. Barakova, Kaori Yoshida, Mario Köppen, David W. Corne, Ajith Abraham (Eds.): 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 5-8 December 2004, Kitakyushu, Japan. IEEE Computer Society 2005, isbn 0-7695-2291-2

Masumi Ishikawa, Risto Miikkulainen, Helge Ritter: New developments in self-organizing systems. Neural Networks 17(8-9): 1037 (2004)

Keiji Kamei, Masumi Ishikawa: A Genetic Approach to Optimizing the Values of Parameters in Reinforcement Learning for Navigation of a Mobile Robot. ICONIP 2004: 1148-1153

Fredrik Linåker, Masumi Ishikawa: Rotation invariant features from omnidirectional camera images using a polar higher-order local autocorrelation feature extractor. IROS 2004: 4026-4031

Masumi Ishikawa: Rule extraction by successive regularization. Neural Networks 13(10): 1171-1183 (2000)

Masumi Ishikawa, Hirohito Shimada, Shun-ichi Amari: Iterative Design of Regularizers Based on Data by Minimizing Generalization Errors. IJCNN (1) 2000: 3-8

Masumi Ishikawa: Rule Extraction by Structural Learning with an Immediate Critic. JACIII 3(5): 341-347 (1999)

Masumi Ishikawa, Shinya Kawashima, Naoto Homma: Memory-Based Location Estimation and Navigation Using Bayesian Estimation. ICONIP 1998: 112-117

Kikuo Fujimura, Heizo Tokutaka, Masumi Ishikawa: Modified Counter-Propagation Network. ICONIP 1998: 550-553

Xiang Yu, Masumi Ishikawa, Huisheng Chi: Rule Extraction from Data by Combining a Structural Learning with Forgetting and Linear Discriminant Functions. ICONIP 1998: 1626-1629

Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabczewski, Masumi Ishikawa, Hiroki Ueda: Extraction of crisp logical rules using constrained backpropagation networks. ESANN 1997

Masumi Ishikawa, Kazuhiko Nishino: Designing Neural Networks by a Combination of Structural Learning and Genetic Algorithms. ICANN 1997: 415-420

Masumi Ishikawa: Structural learning with forgetting. Neural Networks 9(3): 509-521 (1996)

Masumi Ishikawa: Learning of Modular Structured Networks. Artif. Intell. 75(1): 51-62 (1995)

Ke Chen, Masumi Ishikawa: A parallel voting scheme for aspect recovery. J. Comput. Sci. Technol. 10(5): 385-402 (1995)

Masumi Ishikawa: Neural Networks Approach to Rule Extraction. ANNES 1995: 6-9