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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. Medical Imaging: 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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