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2020 – today
- 2024
[c98]Kensuke Ajimoto, Yuma Yamamoto, Yoshifumi Kusunoki, Tomoharu Nakashima:
A Study on Multi-Class Online Fuzzy Classifiers for Dynamic Environments. FUZZ 2024: 1-7- 2023
- [c97]Hidehisa Akiyama
, Tomoharu Nakashima, Kyo Hatakeyama, Takumi Fujikawa, Akei Hishiki:
HELIOS2023: RoboCup 2023 Soccer Simulation 2D Competition Champion. RoboCup 2023: 386-394 - 2022
- [c96]Hidehisa Akiyama, Tomoharu Nakashima, Kyo Hatakeyama, Takumi Fujikawa:
HELIOS2022: RoboCup 2022 Soccer Simulation 2D Competition Champion. RoboCup 2022: 253-263 - 2021
- [j28]Takuya Fukushima, Tomoharu Nakashima, Taku Hasegawa, Vicenç Torra:
Optimal Value Estimation of Intentional-Value-Substitution for Learning Regression Models. J. Adv. Comput. Intell. Intell. Informatics 25(2): 153-161 (2021) - [c95]Tatsuhisa Watanabe, Tomoharu Nakashima, Yoshifumi Kusunoki:
Change Detection For Area Surveillance Using A Moving Camera. ECMS 2021: 220-226 - [c94]Yasuhiro Matsuda, Tomoharu Nakashima, Yoshifumi Kusunoki:
Employing a View Field in Autonomous Robots and Optimization of Checkpoint Placement in Area Surveillance. SICE 2021: 27-32 - 2020
- [j27]Takuya Fukushima, Tomoharu Nakashima, Hidehisa Akiyama:
Evaluation-function modeling with multi-layered perceptron for RoboCup soccer 2D simulation. Artif. Life Robotics 25(3): 440-445 (2020) - [c93]Ryosuke Saga, Tomoki Yoshikawa, Ken Wakita, Ken Sakamoto, Gerald Schaefer, Tomoharu Nakashima:
A Genetic Algorithm Optimising Control Point Placement for Edge Bundling. VISIGRAPP (3: IVAPP) 2020: 217-222 - [c92]Takuya Fukushima, Tomoharu Nakashima, Vicenç Torra:
Team Classification with Tactical Analysis Using Fuzzy Inference in RoboCup Soccer. SCIS/ISIS 2020: 1-6 - [c91]Ryota Kuga, Yudai Suzuki, Tomoharu Nakashima:
An Automatic Team Evaluation System for RoboCup Soccer Simulation 2D. SCIS/ISIS 2020: 1-4
2010 – 2019
- 2019
- [j26]Jordan Henrio, Theo Deligne, Tomoharu Nakashima, Tatsuhisa Watanabe:
Route planning for multiple surveillance autonomous drones using a discrete firefly algorithm and a Bayesian optimization method. Artif. Life Robotics 24(1): 100-105 (2019) - [c90]Takuya Fukushima, Taku Hasegawa, Tomoharu Nakashima:
Estimating Optimal Values for Intentional-Value-Substitution Learning. MDAI 2019: 319-329 - [c89]Takuya Fukushima, Tomoharu Nakashima, Hidehisa Akiyama:
Similarity Analysis of Action Trajectories Based on Kick Distributions. RoboCup 2019: 58-70 - [c88]Yudai Suzuki, Tomoharu Nakashima:
On the Use of Simulated Future Information for Evaluating Game Situations. RoboCup 2019: 294-308 - [c87]Yudai Suzuki, Takuya Fukushima, Léa Thibout, Tomoharu Nakashima, Hidehisa Akiyama:
Game-Watching Should be More Entertaining: Real-Time Application of Field-Situation Prediction to a Soccer Monitor. RoboCup 2019: 439-447 - [c86]Yudai Suzuki, Tomoharu Nakashima:
Applying FOSSE Approach to Image Data for Evaluating Game Situations. SSCI 2019: 2228-2236 - 2018
- [c85]Takuya Fukushima, Tomoharu Nakashima, Hidehisa Akiyama:
Mimicking an Expert Team Through the Learning of Evaluation Functions from Action Sequences. RoboCup 2018: 170-180 - [c84]Tanguy Pomas, Tomoharu Nakashima:
Evaluation of Situations in RoboCup 2D Simulations Using Soccer Field Images. RoboCup 2018: 275-286 - [c83]Hidehisa Akiyama, Tomoharu Nakashima, Takuya Fukushima, Jiarun Zhong, Yudai Suzuki, An Ohori:
HELIOS2018: RoboCup 2018 Soccer Simulation 2D League Champion. RoboCup 2018: 450-461 - [c82]Taku Hasegawa, Tomoharu Nakashima:
A Study on a Parallelization of Parameter-Less Population Pyramid. SCIS&ISIS 2018: 261-266 - [c81]Jordan Henrio, Tomoharu Nakashima:
Anomaly Detection in Videos Recorded by Drones in a Surveillance Context. SMC 2018: 2503-2508 - 2017
- [j25]Thomas Henn, Jordan Henrio, Tomoharu Nakashima:
Optimizing player's formations for corner-kick situations in RoboCup soccer 2D simulation. Artif. Life Robotics 22(3): 296-300 (2017) - [c80]Jordan Henrio, Tomoharu Nakashima:
Map Uncertainty Reduction for a Team of Autonomous Drones Using Simulated Annealing and Bayesian Optimization. HCI (4) 2017: 351-370 - [c79]Shu Matsumura, Tomoharu Nakashima:
Incremental learning for SIRMs fuzzy systems by Adam method. IFSA-SCIS 2017: 1-4 - [c78]Takuya Fukushima, Tomoharu Nakashima, Hidehisa Akiyama:
Online Opponent Formation Identification Based on Position Information. RoboCup 2017: 241-251 - 2016
- [c77]Tomoharu Nakashima:
The Effect of the Arrangement of Fuzzy If-Then Rules on the Performance of On-Line Fuzzy Classification. HCI (4) 2016: 287-295 - [c76]Jordan Henrio, Thomas Henn, Tomoharu Nakashima, Hidehisa Akiyama:
Selecting the Best Player Formation for Corner-Kick Situations Based on Bayes' Estimation. RoboCup 2016: 428-439 - [c75]Tomonari Nakade, Tomoharu Nakashima, Hidehisa Akiyama, Hirosato Seki:
Position Prediction of Opponent Players by SIRMs Fuzzy Models for RoboCup Soccer 2D Simulation. SCIS&ISIS 2016: 224-228 - [i1]Jordan Henrio, Thomas Henn, Tomoharu Nakashima, Hidehisa Akiyama:
Selecting the Best Player Formation for Corner-Kick Situations Based on Bayes' Estimation. CoRR abs/1606.01015 (2016) - 2015
- [j24]Benoit Vallade, Alexandre David, Tomoharu Nakashima:
Three Layers Framework Concept for Adjustable Artificial Intelligence. J. Adv. Comput. Intell. Intell. Informatics 19(6): 867-879 (2015) - [c74]Gerald Schaefer, Tomoharu Nakashima:
Strategies for addressing class imbalance in ensemble classification of thermography breast cancer features. CEC 2015: 2362-2367 - [c73]Tomoharu Nakashima, Satoshi Mifune, Jordan Henrio, Oliver Obst, Peter Wang, Mikhail Prokopenko:
Kick Extraction for Reducing Uncertainty in RoboCup Logs. HCI (5) 2015: 622-633 - [c72]Yuichi Ishibashi, Manabu Nii, Daiki Komori, Takuya Iwamoto, Tomoharu Nakashima, Yutaka Komai:
4D Simulator Using Evolving Cellular Automata for Computer Aided Macrophage Behavior Analysis. ICETET 2015: 160-164 - 2014
- [c71]Gerald Schaefer, Bartosz Krawczyk, Niraj P. Doshi, Tomoharu Nakashima:
Cost-sensitive texture classification. IEEE Congress on Evolutionary Computation 2014: 105-108 - [c70]Reham Gharbia, Ali Hassan El Baz, Aboul Ella Hassanien, Gerald Schaefer, Tomoharu Nakashima, Ahmad Taher Azar:
Fusion of multi-spectral and panchromatic satellite images using principal component analysis and fuzzy logic. FUZZ-IEEE 2014: 1118-1122 - [c69]Hirosato Seki, Tomoharu Nakashima:
Medical diagnosis and monotonicity clarification using SIRMs connected fuzzy inference model with functional weights. FUZZ-IEEE 2014: 1662-1665 - [c68]Hirosato Seki, Tomoharu Nakashima:
Complex-valued SIRMs connected fuzzy inference model. GrC 2014: 250-253 - [c67]Benoit Vallade, Alexandre David, Tomoharu Nakashima:
Proposition of a three layers architecture for adaptable artificial intelligence. SCIS&ISIS 2014: 247-252 - [c66]Benoit Vallade, Tomoharu Nakashima:
A new approach to path-finding by possibilities search. SCIS&ISIS 2014: 380-385 - [c65]Benjamin Culeux, Tomoharu Nakashima, Toshinobu Hayashi, Manabu Nii, Yutaka Komai:
A three-dimensional macrophages movement analyser. SCIS&ISIS 2014: 1424-1427 - 2013
- [j23]Gerald Schaefer, Tomoharu Nakashima:
Michigan vs. Pittsburgh Style GA Optimisation of Fuzzy Rule Bases for Gene Expression Analysis. Int. J. Fuzzy Syst. Appl. 3(4): 60-72 (2013) - [c64]Tomoharu Nakashima, Takeshi Sumitani, Andrzej Bargiela:
A Construction Method of Fuzzy Classifiers Using Confidence-weighted Learning. KES 2013: 460-466 - [c63]Hidehisa Akiyama, Tomoharu Nakashima:
HELIOS Base: An Open Source Package for the RoboCup Soccer 2D Simulation. RoboCup 2013: 528-535 - [c62]Benjamin Culeux, Tomoharu Nakashima, Toshinobu Hayashi, Manabu Nii, Yutaka Komai:
A Macrophage Simulator for Understanding Its Dynamic Behaviour from Video Images. SMC 2013: 1795-1798 - 2012
- [c61]Hidehisa Akiyama, Shigeto Aramaki, Tomoharu Nakashima:
Online Cooperative Behavior Planning Using a Tree Search Method in the RoboCup Soccer Simulation. INCoS 2012: 170-177 - [c60]Hidehisa Akiyama, Tomoharu Nakashima:
HELIOS2012: RoboCup 2012 Soccer Simulation 2D League Champion. RoboCup 2012: 13-19 - [c59]Hidehisa Akiyama, Shigeto Aramaki, Tomoharu Nakashima:
Team formation estimation using cluster analysis and triangulation model. SCIS&ISIS 2012: 956-959 - 2011
- [j22]Takesuke Uenishi, Tomoharu Nakashima, Noriyuki Fujimoto:
Parallelizing fuzzy rule generation using GPGPU. Artif. Life Robotics 16(2): 214-218 (2011) - [j21]Yosuke Nakamura, Tomoharu Nakashima:
A visual debugger for developing RoboCup soccer 3D agents. Artif. Life Robotics 16(2): 219-223 (2011) - [j20]Yosuke Nakamura, Tomoharu Nakashima:
On the use of human instruction for improving the behavior of RoboCup soccer agents. Artif. Life Robotics 16(3): 288-291 (2011) - [c58]Tomoharu Nakashima, Ashish Ghosh:
Classification Confidence Of Fuzzy Rule-Based Classifiers. ECMS 2011: 466-471 - 2010
- [j19]Tomoharu Nakashima, Seiya Fujii:
Designing high-level decision making systems based on fuzzy if-then rules for a point-to-point car racing game. Soft Comput. 14(5): 517-528 (2010) - [j18]Gerald Schaefer, Tomoharu Nakashima:
Data mining of gene expression data by fuzzy and hybrid fuzzy methods. IEEE Trans. Inf. Technol. Biomed. 14(1): 23-29 (2010)
2000 – 2009
- 2009
- [j17]Gerald Schaefer, Michal Zavisek, Tomoharu Nakashima:
Thermography based breast cancer analysis using statistical features and fuzzy classification. Pattern Recognit. 42(6): 1133-1137 (2009) - [c57]Shingo Aoki, Kazushige Inoue, Tomoharu Nakashima, Katsuhiro Honda:
Efficiency measurement for agent simulation based on DEA with imprecise data. FUZZ-IEEE 2009: 1563-1567 - [c56]Wojciech Tarnawski, Gerald Schaefer, Tomoharu Nakashima, Lukasz Miroslaw:
Fuzzy Rule-based Classification Systems in Medical Image Understanding. IPCV 2009: 859-863 - [c55]Gerald Schaefer, Tomoharu Nakashima:
Michigan Style Fuzzy Classification for Gene Expression Analysis. WSC 2009: 101-108 - [p4]Gerald Schaefer, Tomoharu Nakashima, Hisao Ishibuchi:
Gene Expression Analysis by Fuzzy and Hybrid Fuzzy Classification. Fuzzy Systems in Bioinformatics and Computational Biology 2009: 127-140 - 2008
- [j16]Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi, Gerald Schaefer:
A cost-based fuzzy system for pattern classification with class importance. Artif. Life Robotics 12(1-2): 43-46 (2008) - [j15]Julian Togelius, Simon M. Lucas, Ho Duc Thang, Jonathan M. Garibaldi, Tomoharu Nakashima, Chin Hiong Tan, Itamar Elhanany, Shay Berant, Philip Hingston, Robert M. MacCallum, Thomas Haferlach, Aravind Gowrisankar, Peter Burrow:
The 2007 IEEE CEC simulated car racing competition. Genet. Program. Evolvable Mach. 9(4): 295-329 (2008) - [c54]Josep Sayol, Lars Nolle, Gerald Schaefer, Tomoharu Nakashima:
Comparison of simulated annealing and SASS for parameter estimation of biochemical networks. IEEE Congress on Evolutionary Computation 2008: 3568-3571 - [c53]Seiya Fujii, Tomoharu Nakashima, Hisao Ishibuchi:
A study on constructing fuzzy systems for high-level decision making in a car racing game. IEEE Congress on Evolutionary Computation 2008: 3626-3633 - [c52]William Plant, Gerald Schaefer, Tomoharu Nakashima:
An overview of Genetic Algorithms in simulation soccer. IEEE Congress on Evolutionary Computation 2008: 3897-3904 - [c51]Seiya Fujii, Tomoharu Nakashima, Hisao Ishibuchi:
A study on constructing fuzzy systems for high-level decision making in a car racing game. FUZZ-IEEE 2008: 2299-2306 - [c50]Gerald Schaefer, Tomoharu Nakashima, Michal Zavisek:
Analysis of Breast Thermograms Based on Statistical Image Features and Hybrid Fuzzy Classification. ISVC (1) 2008: 753-762 - [c49]Tomoharu Nakashima, Seiya Fujii:
Effect of opponent players on the performance of fuzzy decision making systems for car racing. SMC 2008: 1800-1805 - [p3]Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota:
Fuzzy Classification for Gene Expression Data Analysis. Computational Intelligence in Bioinformatics 2008: 209-218 - 2007
- [j14]Tomoharu Nakashima, Yasuyuki Yokota, Yukio Shoji, Hisao Ishibuchi:
A genetic approach to the design of autonomous agents for futures trading. Artif. Life Robotics 11(2): 145-148 (2007) - [j13]Tomoharu Nakashima, Gerald Schaefer, Yasuyuki Yokota, Hisao Ishibuchi:
A weighted fuzzy classifier and its application to image processing tasks. Fuzzy Sets Syst. 158(3): 284-294 (2007) - [j12]Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashima:
Multiple regression with fuzzy data. Fuzzy Sets Syst. 158(19): 2169-2188 (2007) - [j11]Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi, Gerald Schaefer, Ales Drastich, Michal Zavisek:
Constructing Cost-Sensitive Fuzzy-Rule-Based Systems for Pattern Classification Problems. J. Adv. Comput. Intell. Intell. Informatics 11(6): 546-553 (2007) - [c48]Tomoharu Nakashima, Hisao Ishibuchi:
Mimicking Dribble Trajectories by Neural Networks for RoboCup Soccer Simulation. ISIC 2007: 658-663 - [c47]Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi:
Cost-Sensitive Fuzzy Classification for Medical Diagnosis. CIBCB 2007: 312-316 - [c46]Tomoharu Nakashima, Yasuyuki Yokota, Gerald Schaefer, Hisao Ishibuchi:
Introducing Class-Based Classification Priority in Fuzzy Rule-Based Classification Systems. FUZZ-IEEE 2007: 1-6 - [c45]Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi:
Fuzzy Classification of Gene Expression Data. FUZZ-IEEE 2007: 1-6 - [c44]Gerald Schaefer, Tomoharu Nakashima, Michal Zavisek, Yasuyuki Yokota, Ales Drastich, Hisao Ishibuchi:
Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms. FUZZ-IEEE 2007: 1-5 - 2006
- [j10]Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima:
An approach to fuzzy default reasoning for function approximation. Soft Comput. 10(9): 850-864 (2006) - [c43]Tomoharu Nakashima, Masahiro Takatani, Naoki Namikawa, Hisao Ishibuchi, Manabu Nii:
Robust Evaluation of RoboCup Soccer Strategies by Using Match History. IEEE Congress on Evolutionary Computation 2006: 1195-1201 - [c42]Tomoharu Nakashima, Hisao Ishibuchi, Masahiro Takatani, Manabu Nii:
The Effect of Using Match History on the Evolution of RoboCup Soccer Team Strategies. CIG 2006: 60-66 - [c41]Tomoharu Nakashima, Yasuyuki Yokota, Gerald Schaefer, Hisao Ishibuchi:
A Cost-based Fuzzy Rule-based System for Pattern Classification Problems. FUZZ-IEEE 2006: 251-255 - [c40]Tomoharu Nakashima, Yasuyuki Yokota, Gerald Schaefer, Hisao Ishibuchi:
Examining the Effect of Cost Assignment on the Performance of Cost-Based Classification Systems. SMC 2006: 2772-2777 - [c39]Tarek A. El-Mihoub, Lars Nolle, Gerald Schaefer, Tomoharu Nakashima, Adrian Hopgood:
A Self-Adaptive Hybrid Genetic Algorithm for Color Clustering. SMC 2006: 3158-3163 - 2005
- [b1]Hisao Ishibuchi, Tomoharu Nakashima, Manabu Nii:
Classification and modeling with linguistic information granules - advanced approaches to linguistic data mining. Advanced information processing, Springer 2005, ISBN 978-3-540-20767-2, pp. I-XI, 1-307 - [j9]Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima:
Hybridization of fuzzy GBML approaches for pattern classification problems. IEEE Trans. Syst. Man Cybern. Part B 35(2): 359-365 (2005) - [c38]Satoshi Yokoyama, Naoki Namikawa, Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi:
Developing a Goal Keeper for Simulated RoboCup Soccer and its Performance Evaluation. AMiRE 2005: 75-80 - [c37]Manabu Nii, Makoto Kajihara, Yutaka Takahashi, Tomoharu Nakashima:
An Action Rule Discovery Technique from Simulated RoboCup Soccer Logs. AMiRE 2005: 81-86 - [c36]Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi, Gerald Schaefer:
Learning Fuzzy If-Then Rules for Pattern Classi cation with Weighted Training Patterns. EUSFLAT Conf. 2005: 1064-1069 - [c35]Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi, Manabu Nii:
Performance Evaluation of an Evolutionary Method for RoboCup Soccer Strategies. RoboCup 2005: 616-623 - [c34]Hiroko Kitano, Tomoharu Nakashima, Hisao Ishibuchi:
Behavior Analysis of Futures Trading Agents Using Fuzzy Rule Extraction. SMC 2005: 1477-1481 - [p2]Tomoharu Nakashima, Hisao Ishibuchi:
Using Boosting Techniques to Improve the Performance of Fuzzy Classification Systems. Classification and Clustering for Knowledge Discovery 2005: 147-157 - [p1]Tomoharu Nakashima, Takanobu Ariyama, Hiroko Kitano, Hisao Ishibuchi:
A Fuzzy Rule-Based Trading Agent: Analysis and Knowledge Extraction. Computational Intelligence for Modelling and Prediction 2005: 265-277 - 2004
- [c33]Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela:
A Study on Weighting Training Patterns for Fuzzy Rule-Based Classification Systems. MDAI 2004: 60-69 - [c32]Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi:
An evolutionary approach for strategy learning in RoboCup soccer. SMC (2) 2004: 2023-2028 - [c31]Tomoharu Nakashima, Hiroko Kitano, Hisao Ishibuchi:
Development of a fuzzy position controller for an autonomously trading agent. SMC (3) 2004: 2338-2343 - [c30]Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela:
Constructing fuzzy classification systems from weighted training patterns. SMC (3) 2004: 2386-2391 - 2003
- [j8]Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima:
Learning fuzzy rules from iterative execution of games. Fuzzy Sets Syst. 135(2): 213-240 (2003) - [c29]Tomoharu Nakashima, Takanobu Ariyama, Takanori Yoshida, Hisao Ishibuchi:
Performance evaluation of combined cellular genetic algorithms for function optimization problems. CIRA 2003: 295-299 - [c28]Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi:
Credit assignment by fuzzy rule-based systems in fuzzy classifier ensembles. CIRA 2003: 664-669 - [c27]Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi:
Acquiring the positioning skill in a soccer game using a fuzzy Q-learning. CIRA 2003: 1488-1491 - [c26]Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi:
Implementation of fuzzy Q-learning for a soccer agent. FUZZ-IEEE 2003: 533-536 - [c25]Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi:
A boosting algorithm with subset selection of training patterns. FUZZ-IEEE 2003: 690-695 - [c24]Tomoharu Nakashima, Takanobu Ariyama, Hisao Ishibuchi:
Extracting linguistic knowledge and its use as decision support in a virtual futures market. FUZZ-IEEE 2003: 708-713 - [c23]Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi:
A Fuzzy Reinforcement Learning for a Ball Interception Problem. RoboCup 2003: 559-567 - [c22]Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi:
Knowledge acquisition for a soccer agent by fuzzy reinforcement learning. SMC 2003: 4256-4261 - 2002
- [c21]Tomoharu Nakashima, Takanobu Ariyama, Hisao Ishibuchi:
On-Line Learning of a Fuzzy System for a Future Market. FSKD 2002: 54-58 - [c20]Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi:
A Boosting Algorithm of Fuzzy Rule-Based Systems for Pattern Classification Problems. FSKD 2002: 155-158 - [c19]Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi:
Improving the performance of fuzzy classification systems by membership function learning and feature selection. FUZZ-IEEE 2002: 488-493 - [c18]Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi:
A fuzzy rule-based system for ensembling classification systems. FUZZ-IEEE 2002: 1432-1437 - 2001
- [j7]Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata:
Three-objective genetics-based machine learning for linguistic rule extraction. Inf. Sci. 136(1-4): 109-133 (2001) - [j6]Hisao Ishibuchi, Tomoharu Nakashima, Ryoji Sakamoto:
Evolution of unplanned coordination in a market selection game. IEEE Trans. Evol. Comput. 5(5): 524-534 (2001) - [j5]Hisao Ishibuchi, Tomoharu Nakashima:
Effect of rule weights in fuzzy rule-based classification systems. IEEE Trans. Fuzzy Syst. 9(4): 506-515 (2001) - [c17]Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima:
Effect of localized selection on the evolution of unplanned coordination in a market selection game. CEC 2001: 1011-1018 - [c16]Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata:
Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data. EMO 2001: 588-602 - [c15]Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima:
Linguistic Modelling for Function Approximation Using Grid Partitions. FUZZ-IEEE 2001: 47-50 - [c14]Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima:
Adaption of Fuzzy Rule-Based Systems for Game Playing . FUZZ-IEEE 2001: 1448-1451 - [c13]Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima:
Determination of Rule Weights of Fuzzy Association Rules. FUZZ-IEEE 2001: 1555-1558 - [c12]Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima:
Fuzzy Data Mining: Effect of Fuzzy Discretization. ICDM 2001: 241-248 - 2000
- [j4]Hisao Ishibuchi, Tomoharu Nakashima:
Pattern and Feature Selection by Genetic Algorithms in Nearest Neighbor Classification. J. Adv. Comput. Intell. Intell. Informatics 4(2): 138-145 (2000) - [c11]Hisao Ishibuchi, Tomoharu Nakashima:
Effect of rule weights in fuzzy rule-based classification systems. FUZZ-IEEE 2000: 59-64 - [c10]Hisao Ishibuchi, Tomoharu Nakashima, Tetsuya Kuroda:
A hybrid fuzzy GBML algorithm for designing compact fuzzy rule-based classification systems. FUZZ-IEEE 2000: 706-711 - [c9]Hisao Ishibuchi, Tomoharu Nakashima:
Linguistic Rule Extraction by Genetics-Based Machine Learning. GECCO 2000: 195-202 - [c8]Hisao Ishibuchi, Tatsuo Nakari, Tomoharu Nakashima:
Evolution of Strategies in Spatial IPD Games with Structure Demes. GECCO 2000: 817-824 - [c7]Hisao Ishibuchi, Tomoharu Nakashima:
Multi-objective pattern and feature selection by a genetic algorithm. GECCO 2000: 1069-
1990 – 1999
- 1999
- [j3]Hisao Ishibuchi, Tomoharu Nakashima, Takehiko Morisawa:
Voting in fuzzy rule-based systems for pattern classification problems. Fuzzy Sets Syst. 103(2): 223-238 (1999) - [j2]Hisao Ishibuchi, Tadahiko Murata, Tomoharu Nakashima:
Linguistic Rule Extraction from Numerical Data for High-dimensional Classification Problems. J. Adv. Comput. Intell. Intell. Informatics 3(5): 386-393 (1999) - [j1]Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata:
Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems. IEEE Trans. Syst. Man Cybern. Part B 29(5): 601-618 (1999) - [c6]Hisao Ishibuchi, Tomoharu Nakashima:
Designing compact fuzzy rule-based systems with default hierarchies for linguistic approximation. CEC 1999: 2341-2348 - 1998
- [c5]Tadahiko Murata, Hisao Ishibuchi, Tomoharu Nakashima, Mitsuo Gen:
Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems. Evolutionary Programming 1998: 407-416 - [c4]Hisao Ishibuchi, Tomoharu Nakashima:
A study on generating fuzzy classification rules using histograms. KES (1) 1998: 132-140 - [c3]Hisao Ishibuchi, Tomoharu Nakashima:
Evolution of Reference Sets in Nearest Neighbor Classification. SEAL 1998: 82-89 - 1996
- [c2]Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata:
Genetic-Algorithm-Based Approaches to the Design of Fuzzy Systems for Multi-Dimensional Pattern Classification Problems. International Conference on Evolutionary Computation 1996: 229-234 - 1995
- [c1]Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata:
A Fuzzy Classifier System That Generates Linguistic Rules for Pattern Classification Problems. IEEE/Nagoya-University World Wisepersons Workshop 1995: 35-54
Coauthor Index
[p4] [j16] [c53] [c51] [j14] [j13] [j11] [c48] [c47] [c46] [c45] [c44] [j10] [c43] [c42] [c41] [c40] [b1] [j9] [c38] [c36] [c35] [c34] [p2] [p1] [c33] [c32] [c31] [c30] [j8] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [j7] [j6] [j5] [c17] [c16] [c15] [c14] [c13] [c12] [j4] [c11] [c10] [c9] [c8] [c7] [j3] [j2] [j1] [c6] [c5] [c4] [c3] [c2] [c1]
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load citations from opencitations.net
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OpenAlex data
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last updated on 2025-03-04 21:20 CET by the dblp team
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