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Hisashi Handa
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2020 – today
- 2023
- [i1]Zihao Chen, Hisashi Handa, Kimiaki Shirahama:
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications. CoRR abs/2301.08193 (2023) - 2021
- [c41]Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Takahiro Yamada, Mitsutaka Nemoto, Yuichi Kimura, Hisashi Handa, Hisashi Yoshida, Koji Abe, Masahiro Tada, Hitoshi Habe, Takashi Nagaoka, Yoshiaki Ozaki, Seiun Nin, Kazunari Ishii, Yongbum Lee:
How to select training data to segment mammary gland region using a deep-learning approach for reliable individualized screening mammography. Computer-Aided Diagnosis 2021
2010 – 2019
- 2019
- [c40]Misaki Kitahashi, Hisashi Handa:
Application of Evolutionary Multiobjective Optimization in L1-Regularization of CNN. CEC 2019: 2129-2135 - [c39]Hisashi Handa, Shingo Ando, Tatsuhiro Ichikawa, Riku Yamamoto, Miyu Otani:
Development of Privacy Protection Monitoring Systems Using Skeleton Models and Their Evaluation on the Viewpoint of FUBEN-EKI. HCI (2) 2019: 235-246 - 2018
- [j11]Ryoichi Hasegawa, Hisashi Handa:
Solving Order/Degree Problems by Using EDA-GK with a Novel Sampling Method. J. Adv. Comput. Intell. Intell. Informatics 22(2): 236-241 (2018) - [j10]Misaki Kitahashi, Hisashi Handa:
Estimating Classroom Situations by Using CNN with Environmental Sound Spectrograms. J. Adv. Comput. Intell. Intell. Informatics 22(2): 242-248 (2018) - [c38]Ryoichi Hasegawa, Hisashi Handa:
Investigation of kernel functions in EDA-GK. GECCO (Companion) 2018: 43-44 - 2017
- [c37]Hisashi Handa, Ryoichi Hasegawa:
Solving order/degree problems by using EDA-GK. GECCO (Companion) 2017: 25-26 - 2016
- [c36]Kenta Maezawa, Hisashi Handa:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 251-261 - 2014
- [c35]Hisashi Handa:
Deep Boltzmann Machine for evolutionary agents of Mario AI. IEEE Congress on Evolutionary Computation 2014: 36-41 - 2013
- [c34]Hisashi Handa:
On the coordination system for the dimensionality-reduced inputs of mario. ADPRL 2013: 170-176 - [c33]Hisashi Handa:
Evolution of the weight vectors in Mahjong non-player characters. NaBIC 2013: 147-152 - 2012
- [j9]Hisashi Handa:
Neuroevolution with manifold learning for playing Mario. Int. J. Bio Inspired Comput. 4(1): 14-26 (2012) - [c32]Hisashi Handa:
Use of graph kernels in Estimation of Distribution Algorithms. IEEE Congress on Evolutionary Computation 2012: 1-6 - [c31]Masanobu Abe, Daisuke Fujioka, Hisashi Handa:
A Life Log Collecting System Supported by Smartphone to Model Higher-Level Human Behaviors. CISIS 2012: 665-670 - [c30]Norio Baba, Yuta Arase, Masaki Takeda, Hisashi Handa:
Utilization of Soft Computing Techniques for Making COMMONS GAME Much More Exciting. KES 2012: 1991-1998 - [c29]Hisashi Handa:
Application of Manifold Learning methods to scene information in video games. SCIS&ISIS 2012: 290-295 - [c28]Hisashi Handa:
Moves by taking account into other players in Othello. SCIS&ISIS 2012: 952-955 - [c27]Hisashi Handa:
Investigation of robust solution of evolutionary algorithms in dynamic environments. SCIS&ISIS 2012: 1244-1247 - 2011
- [j8]Seiichi Ozawa, Hisashi Handa:
Guest editorial: Evolving autonomous systems under realistic environments. Evol. Syst. 2(4): 215-217 (2011) - [j7]Hisashi Handa:
On the effect of dimensionality reduction by Manifold Learning for Evolutionary Learning. Evol. Syst. 2(4): 235-247 (2011) - [c26]Hisashi Handa:
Structure search of probabilistic models and data correction for EDA-RL. ADPRL 2011: 332-337 - [c25]Hisashi Handa:
Dimensionality reduction of scene and enemy information in Mario. IEEE Congress on Evolutionary Computation 2011: 1515-1520 - 2010
- [j6]Tokue Nishimura, Hisashi Handa:
Rule acquisition for cognitive agents by using estimation of distribution algorithms. Int. J. Knowl. Eng. Soft Data Paradigms 2(3): 224-236 (2010) - [j5]Hisashi Handa:
Constitution of Ms.PacMan player with critical-situation learning mechanism. Int. J. Knowl. Eng. Soft Data Paradigms 2(3): 237-250 (2010) - [c24]Hisashi Handa, Hiroshi Kawakami:
Dimension reduction by Manifold Learning for Evolutionary Learning with redundant sensory inputs. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c23]Norio Baba, Hisashi Handa, Mariko Kusaka, Masaki Takeda, Yuriko Yoshihara, Keisuke Kogawa:
Utilization of Evolutionary Algorithms for Making COMMONS GAME Much More Exciting. KES (3) 2010: 555-561 - [c22]Hisashi Handa:
Experimental Analysis of the Effect of Dimensionality Reduction on Instance-Based Policy Optimization. PRICAI 2010: 433-444
2000 – 2009
- 2009
- [c21]Hisashi Handa:
EDA-RL: estimation of distribution algorithms for reinforcement learning problems. GECCO 2009: 405-412 - [c20]Hisashi Handa:
Solving Multi-objective Reinforcement Learning Problems by EDA-RL - Acquisition of Various Strategies. ISDA 2009: 426-431 - 2008
- [c19]Hisashi Handa, Maiko Isozaki:
Evolutionary fuzzy systems for generating better Ms.PacMan players. FUZZ-IEEE 2008: 2182-2185 - [c18]Norio Baba, Kenta Nagasawa, Hisashi Handa:
Utilization of Soft Computing Techniques for Making Environmental Games More Exciting -Toward an Effective Utilization of the COMMONS GAME. KES (2) 2008: 411-417 - 2007
- [j4]Hisashi Handa:
The effectiveness of mutation operation in the case of Estimation of Distribution Algorithms. Biosyst. 87(2-3): 243-251 (2007) - [c17]Hisashi Handa:
Estimation of distribution algorithms with niche separation mechanism. IEEE Congress on Evolutionary Computation 2007: 119-126 - [c16]Hisashi Handa, Norio Baba:
Evolutionary Computations for Designing Game Rules of the COMMONS GAME. CIG 2007: 334-339 - [c15]Hidetsugu Suto, Hiroshi Kawakami, Hisashi Handa:
A Study of Information Flow Between Designers and Users Via Website Focused on Property of Hyper Links. HCI (8) 2007: 189-198 - [c14]Hisashi Handa:
Evolutionary Computation on Multitask Reinforcement Learning Problems. ICNSC 2007: 685-688 - [p2]Norio Baba, Hisashi Handa:
COMMONS GAME Made More Exciting by an Intelligent Utilization of the Two Evolutionary Algorithms. Advanced Intelligent Paradigms in Computer Games 2007: 1-16 - [p1]Hisashi Handa, Lee Chapman, Xin Yao:
Robust Salting Route Optimization Using Evolutionary Algorithms. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 497-517 - [e1]Norio Baba, Lakhmi C. Jain, Hisashi Handa:
Advanced Intelligent Paradigms in Computer Games. Studies in Computational Intelligence 71, Springer 2007, ISBN 978-3-540-72704-0 [contents] - 2006
- [j3]Hisashi Handa, Lee Chapman, Xin Yao:
Robust route optimization for gritting/salting trucks: a CERCIA experience. IEEE Comput. Intell. Mag. 1(1): 6-9 (2006) - [c13]Hisashi Handa, Dan Lin, Lee Chapman, Xin Yao:
Robust Solution of Salting Route Optimisation Using Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2006: 3098-3105 - [c12]Hisashi Handa:
Fitness function for finding out robust solutions on time-varying functions. GECCO 2006: 1195-1200 - 2005
- [c11]Hisashi Handa, Lee Chapman, Xin Yao:
Dynamic salting route optimisation using evolutionary computation. Congress on Evolutionary Computation 2005: 158-165 - [c10]Hisashi Handa:
Estimation of Distribution Algorithms with Mutation. EvoCOP 2005: 112-121 - 2004
- [c9]Hisashi Handa:
Mutation Can Improve the Search Capability of Estimation of Distribution Algorithms. GECCO (2) 2004: 396-397 - 2003
- [c8]Hisashi Handa:
Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems. GECCO 2003: 991-1002 - 2002
- [j2]Hisashi Handa, Mitsuru Baba, Tadashi Horiuchi, Osamu Katai:
A Novel Hybrid Framework of Coevolutionary GA and Machine Learning. Int. J. Comput. Intell. Appl. 2(1): 33-52 (2002) - [j1]Mitsuru Baba, Tadataka Konishi, Hisashi Handa:
Shape measurement of columnar objects with specular surfaces by slit ray projection method. Syst. Comput. Jpn. 33(4): 50-60 (2002) - 2001
- [c7]Hisashi Handa, Tadashi Horiuchi, Osamu Katai, T. Kaneko, Tadataka Konishi, Mitsuru Baba:
Coevolutionary GA with schema extraction by machine learning techniques and its application to knapsack problems. CEC 2001: 1213-1219 - [c6]Hisashi Handa, Akira Ninomiya, Tadashi Horiuchi, Tadataka Konishi, Mitsuru Baba:
Adaptive state construction for reinforcement learning and its application to robot navigation problems. SMC 2001: 1436-1441 - 2000
- [c5]Hisashi Handa, Osamu Katai, Tadataka Konishi, Mitsuru Baba:
A new fitness function for discovering a lot of satisfiable solutions in constraint satisfaction problems. CEC 2000: 1184-1189
1990 – 1999
- 1999
- [c4]Hisashi Handa, Osamu Katai, Tadataka Konishi, Mitsuru Baba:
Coevolutionary Genetic Algorithms for Solving Dynamic Constraint Satisfaction Problems. GECCO 1999: 252-257 - 1997
- [c3]Hisashi Handa, Norio Baba, Osamu Katai, Tetsuo Sawaragi:
Coevolutionary Genetic Algorithm with Effective Exploration and Exploitation of Useful Schemata. ICONIP (1) 1997: 424-427 - 1995
- [c2]Norio Baba, Hisashi Handa:
Utilization of hierarchical structure stochastic automata for the back propagation method with momentum. ICNN 1995: 389-393 - [c1]Norio Baba, Hisashi Handa:
Utilization of neural network for constructing a user friendly decision support system to deal stocks. ICNN 1995: 818-823
Coauthor Index
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