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ORCIDYuko Osana
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2010 – 2019
- 2019
[c87]Kazuki Hashiba, Yuko Osana:
Study of Learning Ability in Profit Sharing Using Convolutional Neural Network. ICAISC (1) 2019: 94-101- [c86]Hiroaki Goto, Yuko Osana:
Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor Independent of Multi-values. ICANN (1) 2019: 76-86 - [c85]Taiki Sato, Yuko Osana:
Automatic Generation of Dance and Facial Expressions Linked to Music using HMM. SMC 2019: 3999-4006 - 2018
- [c84]Yuta Nakaya, Yuko Osana:
Deep Q-Network Using Reward Distribution. ICAISC (1) 2018: 160-169 - [c83]Nobuaki Hasuike, Yuko Osana:
Learning Game by Profit Sharing Using Convolutional Neural Network. ICANN (1) 2018: 43-50 - [c82]Takayuki Fujita, Yuko Osana:
Artwork Retrieval Based on Similarity of Touch Using Convolutional Neural Network. ICANN (1) 2018: 235-243 - [c81]Daisuke Karakama, Norihito Katamura, Chigusa Nakano, Yuko Osana:
Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor. ICANN (2) 2018: 523-531 - 2017
- [c80]Daisuke Temma, Yuko Osana:
Obstacle Avoidance by Profit Sharing Using Self-Organizing Map-Based Probabilistic Associative Memory. ICANN (1) 2017: 52-59 - [c79]Tatsuuya Okada, Yuko Osana:
Chaotic Associative Memory with Adaptive Scaling Factor. ICANN (2) 2017: 713-721 - [c78]Jun Niitsuma, Yuko Osana:
Influence on learning of various conditions in deep Q-network. SMC 2017: 1932-1935 - 2016
- [c77]Hiroki Sato, Yuko Osana:
Improved Chaotic Multidirectional Associative Memory. ICANN (1) 2016: 3-10 - 2015
- [c76]Nagamasa Hayashi, Yuko Osana:
Chaotic Multidirectional Associative Memory with adaptive scaling factor of refractoriness. IJCNN 2015: 1-8 - [c75]Jun Niitsuma, Yuko Osana:
Self-Organizing Map-based Probabilistic Associative Memory for Sequential Patterns. IJCNN 2015: 1-7 - 2014
- [c74]Takumi Okutsu, Yuko Osana:
One-to-Many Association Ability of Chaotic Quaternionic Multidirectional Associative Memory. ICONIP (1) 2014: 111-118 - [c73]Yuko Osana:
Self-organizing Map-Based Probabilistic Associative Memory. ICONIP (1) 2014: 342-349 - [c72]Toshihiro Suzuki, Yuko Osana:
Fall avoidance of bipedalwalking robot by profit sharing that can learn deterministic policy for POMDPs environments. NaBIC 2014: 184-189 - [c71]Motoki Kikuchi, Yuko Osana:
Automatic melody generation considering chord progression by genetic algorithm. NaBIC 2014: 190-195 - [c70]Yuya Morino, Yuko Osana:
Walking Motion Learning of Quadrupedal Walking Robot by Profit Sharing That Can Learn Deterministic Policy for POMDPs Environments. SEAL 2014: 323-334 - [c69]Mio Takano, Yuko Osana:
Automatic Melody Generation Considering User's Evaluation Using Interactive Genetic Algorithm. SEAL 2014: 785-797 - 2013
- [c68]Tsubasa Takamatsu, Yuko Osana:
Emotion Generation System Considering Complex Emotion Based on MaC Model with Neural Networks. ICANN 2013: 495-502 - [c67]Takuya Chino, Yuko Osana:
Generalization Ability of Chaotic Complex-Valued Multidirectional Associative Memory with Adaptive Scaling Factor. ICONIP (2) 2013: 291-298 - [c66]Takuya Chino, Yuko Osana:
Chaotic complex-valued multidirectional associative memory with adaptive scaling factor. IJCNN 2013: 1-8 - [c65]Takahiro Yamane, Ryuya Ohno, Yuko Osana:
Similarity-Based Image Retrieval Considering Size and Color of Artifacts by Self-Organizing Map with Refractoriness. SMC 2013: 1150-1156 - [c64]Saori Kato, Yuko Osana:
Pattern Separation Ability in Chaotic Quaternionic Associative Memory. SMC 2013: 1157-1164 - [c63]Daichi Koma, Yuko Osana:
Profit Sharing That Can Learn Deterministic Policy for POMDPs Environments by Kohonen Feature Map Associative Memory. SMC 2013: 2651-2658 - 2012
- [c62]Mio Takano, Yuko Osana:
Automatic composition system using genetic algorithm and N-gram model considering melody blocks. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c61]Hiroki Sato, Yuko Osana:
Variable-Sized Kohonen Feature Map Probabilistic Associative Memory. ICANN (2) 2012: 371-378 - [c60]Motoyuki Onagi, Yuko Osana:
Pattern dependency of one-to-many association ability in Chaotic Complex-valued Multidirectional Associative Memory with variable scaling factor. IJCNN 2012: 1-8 - [c59]Yuko Osana:
Chaotic Quaternionic Associative Memory. IJCNN 2012: 1-8 - [c58]Yusuke Araki, Yuko Osana:
Office layout support system for polygonal space using interactive genetic algorithm - Generation of Layout Plans for Workspace -. SMC 2012: 1039-1044 - [c57]Yoji Kuramochi, Ryuhei Fukazawa, Yuko Osana:
Similarity-based image retrieval considering artifacts from a part of images by self-organizing map with refractoriness. SMC 2012: 1045-1050 - [c56]Yuya Sato, Yuko Osana:
Office layout plan evaluation system using evacuation simulation considering other agents' action. SMC 2012: 1911-1916 - [c55]Yusuke Araki, Yuko Osana:
Office layout support system for polygonal space using interactive genetic algorithm - Generation of room arrangement plans -. SMC 2012: 2020-2025 - 2011
- [c54]Akio Yoshida, Yuko Osana:
Chaotic Complex-Valued Multidirectional Associative Memory with Variable Scaling Factor. ICANN (1) 2011: 266-274 - [c53]Akio Yoshida, Yuko Osana:
Chaotic Complex-valued Multidirectional Associative Memory with variable scaling factor - One-to-many association ability -. IJCNN 2011: 1285-1292 - [c52]Akira Cho, Yuko Osana:
Melody retrieval by self-organizing map with refractoriness which has robustness for fluctuation of key input. IJCNN 2011: 1300-1307 - [c51]Yohei Takamori, Yuko Osana:
Profit sharing that can learn deterministic policy for POMDPs environments. SMC 2011: 490-495 - [c50]Kousuke Watanabe, Yuko Osana:
Reinforcement learning by Improved Kohonen Feature Map Probabilistic Associative Memory based on Weights Distribution using extended eligibility. SMC 2011: 496-501 - [c49]Junpei Amano, Yuko Osana:
Variable-sized Fast Kohonen Feature Map Associative Memory using Area Representation for Sequential Patterns. SMC 2011: 1382-1387 - [c48]Kazuki Fujii, Mitsuhiro Takeshita, Yuko Osana:
Automatic composition system using genetic algorithm and N-gram model - influence of N in N-gram model. SMC 2011: 1388-1393 - [c47]Yuta Sakashita, Yuko Osana:
Identification of artifacts in scenery images using color and line information by RBF network - Segmentation by K-means algorithm and edge information. SMC 2011: 1704-1709 - [c46]Shohei Hayasida, Yuko Osana:
Similarity-based image retrieval considering artifacts by self-organizing map with refractoriness - Image segmentation by K-means algorithm. SMC 2011: 1710-1715 - 2010
- [c45]Takahiro Hada, Yuko Osana:
Reinforcement Learning by KFM Probabilistic Associative Memory Based on Weights Distribution and Area Neuron Increase and Decrease. ICONIP (1) 2010: 405-413 - [c44]Hiroki Midorikawa, Yuko Osana:
Fast Kohonen Feature Map Associative Memory Using Area Representation for Sequential Analog Patterns. ICONIP (2) 2010: 477-484 - [c43]Shingo Noguchi, Yuko Osana:
Improved Kohonen Feature Map Probabilistic Associative Memory based on Weights Distribution. IJCNN 2010: 1-8 - [c42]Takumi Okawa, Yuko Osana:
Similarity-based image retrieval considering artifacts by self-organizing map with refractoriness - Artifacts extraction by RBF network -. NaBIC 2010: 221-226 - [c41]Ryota Tachikawa, Yuko Osana:
Office layout support system using genetic algorithm - generation of layout plans for polygonal space -. NaBIC 2010: 280-285 - [c40]Yuuki Saito, Yuko Osana:
Identification of artifacts in scenery images using color and line information by RBF network and K-means. NaBIC 2010: 540-545 - [c39]Kazunori Kato, Yuko Osana:
Office layout plan evaluation system using evacuation simulation with communication among agents. NaBIC 2010: 611-616
2000 – 2009
- 2009
- [c38]Tomonori Shirotori, Yuko Osana:
Improved Kohonen Feature Map Associative Memory with Area Representation for Sequential Analog Patterns. ICANN (1) 2009: 505-514 - [c37]Daichi Hanagaki, Yuko Osana:
Similarity-based image retrieval considering artifacts by self-organizing map with refractoriness. IJCNN 2009: 1095-1100 - [c36]Ryo Kosaka, Yuko Osana:
Identification of artifacts in scenery images using color and line information by RBF network. IJCNN 2009: 1649-1654 - [c35]Yuichi Yano, Yuko Osana:
Chaotic Complex-Valued Bidirectional Associative Memory. IJCNN 2009: 3444-3449 - [c34]Takumi Ozaki, Hiroyuki Takanashi, Yuko Osana:
Office Layout Plan Evaluation System for Normal Use and Emergency by Multiagent. SMC 2009: 1419-1424 - [c33]Masahiro Nakahara, Yuko Osana:
Generation of Roles in Reinforcement Learning Considering Redistribution of Reward between Agents. SMC 2009: 2259-2264 - [c32]Kazuki Hirozawa, Yuko Osana:
Emotion Generation System based on MaC Model with Neural Networks. SMC 2009: 2860-2865 - [c31]Takahiro Ikeya, Yuko Osana:
Realization of Reinforcement Learning using Multi-Winners KFM Associative Memory. SMC 2009: 3806-3811 - [c30]Tomohisa Imabayashi, Yuko Osana:
Variable-Sized KFM Associative Memory with Refractoriness based on Area Representation. SMC 2009: 3812-3817 - 2008
- [c29]Takahiro Hada, Yuko Osana:
Divided Chaotic Associative Memory for Successive Learning. ICONIP (2) 2008: 203-211 - [c28]Atsushi Shimizu, Yuko Osana:
Reinforcement Learning Using Kohonen Feature Map Associative Memory with Refractoriness Based on Area Representation. ICONIP (2) 2008: 212-219 - [c27]Yoichi Uda, Yuko Osana:
Knowledge processing system using Kohonen feature map associative memory with refractoriness based on area representation. IJCNN 2008: 806-811 - [c26]Hiroyuki Tanirnizu, Yuko Osana:
Similarity-based image retrieval from plural key images by self-organizing map with refractoriness. IJCNN 2008: 812-817 - [c25]Tomonori Shirotori, Yuko Osana:
Kohonen feature map associative memory with area representation for sequential analog patterns. IJCNN 2008: 818-823 - [c24]Takanori Hirata, Takuya Tokuda, Yuko Osana:
Melody retrieval by self-organizing map with refractoriness. IJCNN 2008: 824-829 - [c23]Manabu Tomari, Masayuki Sato, Yuko Osana:
Automatic composition system based on genetic algorithm and N-gram model. SMC 2008: 202-207 - [c22]Atsishi Tanbara, Yuko Osana:
Identification of artifacts in scenery images using color and line information. SMC 2008: 1065-1072 - [c21]Yoichi Uda, Yuko Osana:
Improved Kohonen Feature Map Associative Memory with Refractoriness based on Area Representation. SMC 2008: 2127-2132 - 2007
- [c20]Masahiro Wakame, Yuko Osana:
Chaotic Neural Network with Time Delay Term. IJCNN 2007: 880-885 - [c19]Kouhei Nagashima, Masao Nakada, Yuko Osana:
Similarity-based Image Retrieval by Self-Organizing Map with Refractoriness. IJCNN 2007: 2647-2652 - 2006
- [c18]Toshihiro Arai, Yuko Osana:
Hetero Chaotic Associative Memory for Successive Learning with Give Up Function -One-to-Many Associations. Artificial Intelligence and Applications 2006: 167-172 - [c17]Hitoshi Abe, Yuko Osana:
Kohonen Feature Map Associative Memory with Area Representation. Artificial Intelligence and Applications 2006: 250-255 - [c16]Masao Nakada, Yuko Osana:
Document Clustering based on Similarity of Subjects using Integrated Subject Graph. Artificial Intelligence and Applications 2006: 410-415 - [c15]Katsuyuki Hosono, Maiko Yanaka, Yuko Osana:
Office layout support system considering usage using interactive genetic algorithm. Artificial Intelligence and Soft Computing 2006: 291-296 - [c14]Toyohisa Nakajima, Satoshi Hashimoto, Kazunori Haruyama, Taro Nakamura, Yuko Osana:
Office Layout Support System using Interactive Genetic Algorithm. IEEE Congress on Evolutionary Computation 2006: 56-63 - [c13]Hikaru Mogami, Masahiko Otake, Naoki Kouno, Yuko Osana:
Self-Organizing Map with Refractoriness and Its Application to Image Retrieval. IJCNN 2006: 1001-1006 - [c12]Masanao Ando, Yusuke Okuno, Yuko Osana:
Hetero Chaotic Associative Memory for Successive Learning with Multi-Winners Competition. IJCNN 2006: 3267-3274 - 2005
- [j4]Hisao Imai, Yuko Osana, Masafumi Hagiwara:
Chaotic analog associative memory. Syst. Comput. Jpn. 36(4): 82-90 (2005) - [c11]Satoshi Hashimoto, Kazunori Haruyama, Taro Nakamura, Toyohisa Nakajima, Yuko Osana:
Office layout support system using island model genetic algorithm. Congress on Evolutionary Computation 2005: 120-127 - 2004
- [c10]Yuko Osana:
Chaotic associative memory using distributed patterns for image retrieval - distance between patterns and recall ability. Neural Networks and Computational Intelligence 2004: 179-184 - 2000
- [j3]Junya Kitada, Yuko Osana, Masafumi Hagiwara:
Chaotic episodic associative memory. Integr. Comput. Aided Eng. 7(3): 243-251 (2000) - [j2]Yuko Osana, Masafumi Hagiwara:
Knowledge Processing System Using Chaotic Associative Memory. J. Adv. Comput. Intell. Intell. Informatics 4(1): 39-45 (2000) - [c9]Yuko Osana, Masafumi Hagiwara:
Knowledge Processing System Using Improved Chaotic Associative Memory. IJCNN (5) 2000: 579-584 - [c8]Norihiro Kawasaki, Yuko Osana, Masafumi Hagiwara:
Chaotic associative memory for successive learning using internal patterns. SMC 2000: 2521-2526 - [c7]Koichiro Takita, Yuko Osana, Masafumi Hagiwara:
Reinforcement learning algorithm with network extension for pulse neural network. SMC 2000: 2586-2591
1990 – 1999
- 1999
- [j1]Yuko Osana, Masafumi Hagiwara:
Successive Learning in Hetero-Associative Memory Using Chaotic Neural Networks. Int. J. Neural Syst. 9(4): 285-299 (1999) - [c6]Hiroshi Kume, Yuko Osana, Masafumi Hagiwara:
Solving the binding problem with feature integration theory. IJCNN 1999: 200-205 - [c5]Yuko Osana, Masafumi Hagiwara:
Knowledge processing system using chaotic associative memory. IJCNN 1999: 746-751 - [c4]Yuko Osana, Masafumi Hagiwara:
Chaotic associative memory for sequential patterns. IJCNN 1999: 752-757 - 1998
- [c3]Junya Kitada, Yuko Osana, Masafumi Hagiwara:
Chaotic episodic associative memory. SMC 1998: 3629-3634 - 1997
- [c2]Yuko Osana, Motonobu Hattori
, Masafumi Hagiwara:
Chaotic multidirectional associative memory. ICNN 1997: 1210-1215 - 1996
- [c1]Yuko Osana, Motonobu Hattori, Masafumi Hagiwara:
Chaotic bidirectional associative memory. ICNN 1996: 816-821
Coauthor Index
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