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ORCIDIsao Hayashi
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2020 – today
- 2024
[j13]Isao Hayashi
, Honoka Irie, Shinji Tsuruse:
Bagging Algorithm Based on Possibilistic Data Interpolation for Brain-Computer Interface. J. Adv. Comput. Intell. Intell. Informatics 28(3): 623-633 (2024)- 2023
- [c43]Honoka Irie, Isao Hayashi:
pdi-Bagging: A Proposal of Bagging-Type Ensemble Method Generating Virtual Data. ICAART (3) 2023: 956-963
2010 – 2019
- 2019
- [c42]Isao Hayashi, Honoka Irie:
Ensemble Learning to Generate Virtual Data for Pattern Recognition and Its Possibility of Application to Strategy Inference in Table Tennis. IES 2019: 1-3 - 2017
- [j12]Yinlai Jiang, Isao Hayashi, Shuoyu Wang, Kenji Ishida:
Time-Series Data Analysis Using Sliding Window Based SVD for Motion Evaluation. J. Adv. Comput. Intell. Intell. Informatics 21(7): 1240-1250 (2017) - [c41]Douglas E. Dow, Isao Hayashi:
Fuzzy set training for sleep apnea classification. IFSA-SCIS 2017: 1-6 - 2016
- [c40]Isao Hayashi, Sayaka Kita, Masaki Ogino, Jasmin Léveillé:
An Analysis for Switching of Feedback and Feedforward Mechanism in Motor Internal Model. SCIS&ISIS 2016: 570-575 - 2015
- [c39]Isao Hayashi, Masaki Ogino, Sayaka Kita, Jasmin Léveillé:
Recognition for Switching of Feedback and Feedforward Process in Motor internal model. BICT 2015: 245-246 - 2014
- [j11]Kunihiko Fukushima, Isao Hayashi, Jasmin Léveillé:
Neocognitron trained by winner-kill-loser with triple threshold. Neurocomputing 129: 78-84 (2014) - [j10]Jasmin Léveillé, Isao Hayashi, Kunihiko Fukushima:
A Probabilistic WKL Rule for Incremental Feature Learning and Pattern Recognition. J. Adv. Comput. Intell. Intell. Informatics 18(4): 672-681 (2014) - [j9]Yinlai Jiang, Isao Hayashi, Shuoyu Wang:
Knowledge Acquisition Method Based on Singular Value Decomposition for Human Motion Analysis. IEEE Trans. Knowl. Data Eng. 26(12): 3038-3050 (2014) - [c38]Toshiyuki Maeda, Masanori Fujii, Isao Hayashi:
Sport motion picture analysis as time series data. AMC 2014: 530-535 - [c37]Isao Hayashi, Masanori Fujii, Toshiyuki Maeda, Tokio Tasaka:
A Proposal of Adaboost Type TAM Network and Its Application to Sport Skill Analysis. BICT 2014 - [c36]Isao Hayashi, Yinlai Jiang, Shuoyu Wang:
SVD-based Feature Extraction from Time-series Motion Data and Its Application to Gesture Recognition. BICT 2014 - [c35]Isao Hayashi, Masaki Ogino, Masao Horie, Ayami Yatsuzuka, Jasmin Léveillé:
Improvement of Concentration of Numeracy by Mozart Effect. BICT 2014 - [c34]Jasmin Léveillé, Isao Hayashi:
A software suite for large-scale video- and image-based analytics. BICT 2014 - [c33]Isao Hayashi, Suguru N. Kudoh:
Description of activity of living neuronal network by fuzzy bio-indicator. FUZZ-IEEE 2014: 2424-2429 - [c32]Yinlai Jiang, Isao Hayashi, Shuoyu Wang:
Analysis and extraction of knowledge from body motion using singular value decomposition. FUZZ-IEEE 2014: 2438-2443 - [c31]Toshiyuki Maeda, Masanori Fujii, Isao Hayashi, Tokio Tasaka:
Sport skill classification using time series motion picture data. IECON 2014: 5272-5277 - [c30]Isao Hayashi, Toshiyuki Maeda, Masanori Fujii, Tokio Tasaka:
Extraction of attributes and knowledge rules for sport skill by TAM network. SCIS&ISIS 2014: 782-787 - [i1]Toshiyuki Maeda, Masanori Fujii, Isao Hayashi:
Skill Analysis with Time Series Image Data. CoRR abs/1401.5157 (2014) - 2013
- [c29]Isao Hayashi, Koki Mitsumoto, Suguru N. Kudoh:
Fuzzy Bio-Indicator: Evaluation of Logicality and Connectivity for Living Neuronal Network. BODYNETS 2013: 313-319 - [c28]Isao Hayashi, Shinji Tsuruse:
An adaptive ensemble model for brain-computer interfaces. FUZZ-IEEE 2013: 1-6 - [c27]Yinlai Jiang, Isao Hayashi, Shuoyu Wang:
Singular value analysis through divided time-series data and its application to walking difficulty evaluation. FUZZ-IEEE 2013: 1-6 - [c26]Toshiyuki Maeda, Masanori Fujii, Isao Hayashi:
Time Series Image Data Analysis for Sport Skill. WCSC 2013: 181-190 - 2012
- [c25]Isao Hayashi, Shinji Tsuruse, Junichi Suzuki, Robert Thijs Kozma:
A proposal for applying pdi-Boosting to brain-computer interfaces. FUZZ-IEEE 2012: 1-6 - [c24]Yinlai Jiang, Isao Hayashi, Shuoyu Wang:
Embodied knowledge extraction from human motion using singular value decomposition. FUZZ-IEEE 2012: 1-8 - [c23]Dung H. Phan, Junichi Suzuki, Isao Hayashi:
Leveraging indicator-based ensemble selection in evolutionary multiobjective optimization algorithms. GECCO 2012: 497-504 - [c22]Toshiyuki Maeda, Masanori Fujii, Isao Hayashi:
Time series data analysis for sport skill. ISDA 2012: 392-397 - [c21]Jasmin Léveillé, Isao Hayashi, Kunihiko Fukushima:
Online learning of feature detectors from natural images with the probabilistic WKL rule. SCIS&ISIS 2012: 177-182 - [c20]Isao Hayashi, Shinji Tsuruse:
An evaluation of pdi-Boosting for brain-computer interfaces. SCIS&ISIS 2012: 1215-1220 - [c19]Suguru N. Kudoh, Hidekatsu Ito, Isao Hayashi:
Neurorobot Vitroid - A living test model for embodiment brain research. SCIS&ISIS 2012: 1472-1475 - [c18]Isao Hayashi, Yinlai Jiang, Shuoyu Wang:
Evaluation and visualizaton of evacuees' walking difficulty in disasters. SCIS&ISIS 2012: 1907-1910 - 2011
- [j8]Isao Hayashi, Yinlai Jiang, Shuoyu Wang:
Acquisition of Embodied Knowledge on Gesture Motion by Singular Value Decomposition. J. Adv. Comput. Intell. Intell. Informatics 15(8): 1011-1018 (2011) - [c17]Kunihiko Fukushima, Isao Hayashi, Jasmin Léveillé:
Neocognitron Trained by Winner-Kill-Loser with Triple Threshold. ICONIP (2) 2011: 628-637 - [c16]Isao Hayashi, Megumi Kiyotoki, Ai Kiyohara, Minori Tokuda, Suguru N. Kudoh:
Fuzzy bio-interface: Indicating logicality from living neuronal network and learning control of bio-robot. IJCNN 2011: 2417-2423 - 2010
- [c15]Isao Hayashi, Megumi Kiyotoki, Ai Kiyohara, Minori Tokuda, Suguru N. Kudoh:
Acquisition of logicality in living neuronal networks and its operation to fuzzy bio-robot system. FUZZ-IEEE 2010: 1-7
2000 – 2009
- 2009
- [j7]Isao Hayashi, Takashi Kobayashi, Yoshinori Arai, Toshiyuki Maeda, Atsushi Inoue:
Optimal Location of Wireless LAN Access Points Using Fuzzy ID3. J. Adv. Comput. Intell. Intell. Informatics 13(2): 128-134 (2009) - [c14]Isao Hayashi, Toshiyuki Maeda, Masanori Fujii, Shuoyu Wang, Tokio Tasaka:
Acquisition of embodied knowledge on sport skill using TAM network. FUZZ-IEEE 2009: 1038-1043 - 2007
- [j6]Suguru N. Kudoh, Chie Hosokawa, Ai Kiyohara, Takahisa Taguchi, Isao Hayashi:
Biomodeling System - Interaction Between Living Neuronal Networks and the Outer World. J. Robotics Mechatronics 19(5): 592-600 (2007) - [c13]Isao Hayashi, Hisashi Toyoshima, Takahiro Yamanoi:
Recognition of perception and the localization for aperture problem in visual pathway of brain. SMC 2007: 1872-1877 - 2006
- [c12]Suguru N. Kudoh, Takahisa Taguchi, Isao Hayashi:
Interaction and Intelligence in Living Neuronal Networks Connected to Moving Robot. FUZZ-IEEE 2006: 1162-1166 - [c11]Isao Hayashi, Toshiyuki Maeda:
Structure Evaluation of Receptive Field Layer in TAM Network. SMC 2006: 1541-1547 - 2005
- [c10]Isao Hayashi, James R. Williamson:
A Study of Orientation Selectivity of TAM Network Incorporated Receptive Field Structure. AMiRE 2005: 187-192 - [c9]Isao Hayashi, James R. Williamson:
Orientation Selectivity of TAM Network with Extensive Receptive Field. CIMCA/IAWTIC 2005: 1184-1189 - 2004
- [c8]Isao Hayashi, Hiromasa Maeda, James R. Williamson:
A formulation of receptive field type input layer for TAM network using Gabor function. FUZZ-IEEE 2004: 427-431 - 2003
- [c7]Isao Hayashi:
Perceptual Grouping to Motion Direction and Speed in Apertures. KES 2003: 115-122 - [c6]Isao Hayashi, James R. Williamson:
A formulation of knowledge restructuring type TAM network. SMC 2003: 2839-2844 - 2002
- [c5]Isao Hayashi, James R. Williamson:
An analysis of aperture problem using fuzzy rules acquired from TAM network. FUZZ-IEEE 2002: 914-919 - 2001
- [c4]Toshiyuki Maeda, Isao Hayashi, Motohide Umano, Lakhmi C. Jain:
An Integration of Fuzzy and Two-Valued Logics on Natural Language Semantics. HIS 2001: 301-311
1990 – 1999
- 1999
- [j5]Akira Yamazaki, Tadato Yamagata, Makoto Hatakenaka, Atsushi Miyanishi, Isao Hayashi, Shigeki Tomishima, Atsuo Mangyo, Yoshio Yukinari, Takashi Tatsumi, Masashi Matsumura, Kazutami Arimoto, Michihiro Yamada:
A 5.3-GB/s embedded SDRAM core with slight-boost scheme. IEEE J. Solid State Circuits 34(5): 661-669 (1999) - 1998
- [c3]Isao Hayashi, Motohide Umano, Toshiyuki Maeda, Andreas Bastian, Lakhmi C. Jain:
Acquisition of fuzzy knowledge by NN and GA-A survey of the fusion and union methods proposed in Japan. KES (1) 1998: 69-78 - 1996
- [j4]Isao Hayashi, Eiichi Naito, Hiroyoshi Nomura, Noboru Wakami, Motohide Umano:
Implementation of multistep fuzzy reasoning shell. Syst. Comput. Jpn. 27(2): 87-101 (1996) - 1994
- [c2]Shigeyoshi Tsutsui, Yoshiji Fujimoto, Isao Hayashi:
Extended Forking Genetic Algorithm for Order Representation (O-FGA). International Conference on Evolutionary Computation 1994: 170-175 - [c1]Shigeyoshi Tsutsui, Isao Hayashi, Yoshiji Fujimoto:
Extended Forking Genetic Algorithm for Order Representation. International Conference on Evolutionary Computation 1994: 639-644 - 1993
- [p1]Hiroyoshi Nomura, Isao Hayashi, Noboru Wakami:
A Learning Method Fusing Fuzzy Reasoning and Genetic Algorithm. Robotics, Mechatronics and Manufacturing Systems 1993: 743-748 - 1992
- [j3]Isao Hayashi, Hiroyoshi Nomura, Hisayo Yamasaki, Noboru Wakami:
Construction of fuzzy inference rules by NDF and NDFL. Int. J. Approx. Reason. 6(2): 241-266 (1992) - 1991
- [j2]Hideyuki Takagi, Isao Hayashi:
NN-driven fuzzy reasoning. Int. J. Approx. Reason. 5(3): 191-212 (1991)
1980 – 1989
- 1983
- [j1]Isao Hayashi, Kiyoshi Itoh, Shigemichi Suzuki:
Man-machine interactive guidance for urban railway networks. Comput. Graph. 7(1): 59-72 (1983)
Coauthor Index
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