A Fuzzy Classifier System That Generates Linguistic Rules for Pattern Classification Problems. - Hisao Ishibuchi; Tomoharu Nakashima; Tadahiko Murata (IEEE/Nagoya-University World Wisepersons Workshop, 1995)

Genetic-Algorithm-Based Approaches to the Design of Fuzzy Systems for Multi-Dimensional Pattern Classification Problems. - Hisao Ishibuchi; Tomoharu Nakashima; Tadahiko Murata (International Conference on Evolutionary Computation, 1996)

Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems. - Tadahiko Murata; Hisao Ishibuchi; Tomoharu Nakashima; Mitsuo Gen (Evolutionary Programming, 1998)

A study on generating fuzzy classification rules using histograms. - Hisao Ishibuchi; Tomoharu Nakashima (KES (1), 1998)

Evolution of Reference Sets in Nearest Neighbor Classification. - Hisao Ishibuchi; Tomoharu Nakashima (SEAL, 1998)

Designing compact fuzzy rule-based systems with default hierarchies for linguistic approximation. - Hisao Ishibuchi; Tomoharu Nakashima (CEC, 1999)

Voting in fuzzy rule-based systems for pattern classification problems. - Hisao Ishibuchi; Tomoharu Nakashima; Takehiko Morisawa (Fuzzy Sets Syst., 1999)

Linguistic Rule Extraction from Numerical Data for High-dimensional Classification Problems. - Hisao Ishibuchi; Tadahiko Murata; Tomoharu Nakashima (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems. - Hisao Ishibuchi; Tomoharu Nakashima; Tadahiko Murata (IEEE Trans. Syst. Man Cybern. Part B, 1999)

A hybrid fuzzy GBML algorithm for designing compact fuzzy rule-based classification systems. - Hisao Ishibuchi; Tomoharu Nakashima; Tetsuya Kuroda (FUZZ-IEEE, 2000)

Linguistic Rule Extraction by Genetics-Based Machine Learning. - Hisao Ishibuchi; Tomoharu Nakashima (GECCO, 2000)

Multi-objective pattern and feature selection by a genetic algorithm. - Hisao Ishibuchi; Tomoharu Nakashima (GECCO, 2000)

Evolution of Strategies in Spatial IPD Games with Structure Demes. - Hisao Ishibuchi; Tatsuo Nakari; Tomoharu Nakashima (GECCO, 2000)

Pattern and Feature Selection by Genetic Algorithms in Nearest Neighbor Classification. - Hisao Ishibuchi; Tomoharu Nakashima (J. Adv. Comput. Intell. Intell. Informatics, 2000)

Effect of localized selection on the evolution of unplanned coordination in a market selection game. - Hisao Ishibuchi; Ryoji Sakamoto; Tomoharu Nakashima (CEC, 2001)

Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data. - Hisao Ishibuchi; Tomoharu Nakashima; Tadahiko Murata (EMO, 2001)

Adaption of Fuzzy Rule-Based Systems for Game Playing . - Hisao Ishibuchi; Ryoji Sakamoto; Tomoharu Nakashima (FUZZ-IEEE, 2001)

Linguistic Modelling for Function Approximation Using Grid Partitions. - Hisao Ishibuchi; Takashi Yamamoto; Tomoharu Nakashima (FUZZ-IEEE, 2001)

Determination of Rule Weights of Fuzzy Association Rules. - Hisao Ishibuchi; Takashi Yamamoto; Tomoharu Nakashima (FUZZ-IEEE, 2001)

Fuzzy Data Mining: Effect of Fuzzy Discretization. - Hisao Ishibuchi; Takashi Yamamoto; Tomoharu Nakashima (ICDM, 2001)

Three-objective genetics-based machine learning for linguistic rule extraction. - Hisao Ishibuchi; Tomoharu Nakashima; Tadahiko Murata (Inf. Sci., 2001)

Evolution of unplanned coordination in a market selection game. - Hisao Ishibuchi; Tomoharu Nakashima; Ryoji Sakamoto (IEEE Trans. Evol. Comput., 2001)

Effect of rule weights in fuzzy rule-based classification systems. - Hisao Ishibuchi; Tomoharu Nakashima (IEEE Trans. Fuzzy Syst., 2001)

On-Line Learning of a Fuzzy System for a Future Market. - Tomoharu Nakashima; Takanobu Ariyama; Hisao Ishibuchi (FSKD, 2002)

A Boosting Algorithm of Fuzzy Rule-Based Systems for Pattern Classification Problems. - Tomoharu Nakashima; Gaku Nakai; Hisao Ishibuchi (FSKD, 2002)

Improving the performance of fuzzy classification systems by membership function learning and feature selection. - Tomoharu Nakashima; Gaku Nakai; Hisao Ishibuchi (FUZZ-IEEE, 2002)

A fuzzy rule-based system for ensembling classification systems. - Tomoharu Nakashima; Gaku Nakai; Hisao Ishibuchi (FUZZ-IEEE, 2002)

Performance evaluation of combined cellular genetic algorithms for function optimization problems. - Tomoharu Nakashima; Takanobu Ariyama; Takanori Yoshida; Hisao Ishibuchi (CIRA, 2003)

Credit assignment by fuzzy rule-based systems in fuzzy classifier ensembles. - Tomoharu Nakashima; Gaku Nakai; Hisao Ishibuchi (CIRA, 2003)

Acquiring the positioning skill in a soccer game using a fuzzy Q-learning. - Tomoharu Nakashima; Masayo Udo; Hisao Ishibuchi (CIRA, 2003)

Extracting linguistic knowledge and its use as decision support in a virtual futures market. - Tomoharu Nakashima; Takanobu Ariyama; Hisao Ishibuchi (FUZZ-IEEE, 2003)

A boosting algorithm with subset selection of training patterns. - Tomoharu Nakashima; Gaku Nakai; Hisao Ishibuchi (FUZZ-IEEE, 2003)

Implementation of fuzzy Q-learning for a soccer agent. - Tomoharu Nakashima; Masayo Udo; Hisao Ishibuchi (FUZZ-IEEE, 2003)

A Fuzzy Reinforcement Learning for a Ball Interception Problem. - Tomoharu Nakashima; Masayo Udo; Hisao Ishibuchi (RoboCup, 2003)

Knowledge acquisition for a soccer agent by fuzzy reinforcement learning. - Tomoharu Nakashima; Masayo Udo; Hisao Ishibuchi (SMC, 2003)

Learning fuzzy rules from iterative execution of games. - Hisao Ishibuchi; Ryoji Sakamoto; Tomoharu Nakashima (Fuzzy Sets Syst., 2003)

A Study on Weighting Training Patterns for Fuzzy Rule-Based Classification Systems. - Tomoharu Nakashima; Hisao Ishibuchi; Andrzej Bargiela (MDAI, 2004)

Constructing fuzzy classification systems from weighted training patterns. - Tomoharu Nakashima; Hisao Ishibuchi; Andrzej Bargiela (SMC (3), 2004)

Development of a fuzzy position controller for an autonomously trading agent. - Tomoharu Nakashima; Hiroko Kitano; Hisao Ishibuchi (SMC (3), 2004)

An evolutionary approach for strategy learning in RoboCup soccer. - Tomoharu Nakashima; Masahiro Takatani; Masayo Udo; Hisao Ishibuchi (SMC (2), 2004)

Classification and modeling with linguistic information granules - advanced approaches to linguistic data mining. - Hisao Ishibuchi; Tomoharu Nakashima; Manabu Nii (Springer, 2005)

An Action Rule Discovery Technique from Simulated RoboCup Soccer Logs. - Manabu Nii; Makoto Kajihara; Yutaka Takahashi 002; Tomoharu Nakashima (AMiRE, 2005)

Developing a Goal Keeper for Simulated RoboCup Soccer and its Performance Evaluation. - Satoshi Yokoyama; Naoki Namikawa; Tomoharu Nakashima; Masayo Udo; Hisao Ishibuchi (AMiRE, 2005)

Learning Fuzzy If-Then Rules for Pattern Classi cation with Weighted Training Patterns. - Tomoharu Nakashima; Yasuyuki Yokota; Hisao Ishibuchi; Gerald Schaefer (EUSFLAT Conf., 2005)

Performance Evaluation of an Evolutionary Method for RoboCup Soccer Strategies. - Tomoharu Nakashima; Masahiro Takatani; Masayo Udo; Hisao Ishibuchi; Manabu Nii (RoboCup, 2005)

Behavior Analysis of Futures Trading Agents Using Fuzzy Rule Extraction. - Hiroko Kitano; Tomoharu Nakashima; Hisao Ishibuchi (SMC, 2005)

Hybridization of fuzzy GBML approaches for pattern classification problems. - Hisao Ishibuchi; Takashi Yamamoto; Tomoharu Nakashima (IEEE Trans. Syst. Man Cybern. Part B, 2005)

A Fuzzy Rule-Based Trading Agent: Analysis and Knowledge Extraction. - Tomoharu Nakashima; Takanobu Ariyama; Hiroko Kitano; Hisao Ishibuchi (Computational Intelligence for Modelling and Prediction, 2005)

Using Boosting Techniques to Improve the Performance of Fuzzy Classification Systems. - Tomoharu Nakashima; Hisao Ishibuchi (Classification and Clustering for Knowledge Discovery, 2005)

Robust Evaluation of RoboCup Soccer Strategies by Using Match History. - Tomoharu Nakashima; Masahiro Takatani; Naoki Namikawa; Hisao Ishibuchi; Manabu Nii (IEEE Congress on Evolutionary Computation, 2006)

The Effect of Using Match History on the Evolution of RoboCup Soccer Team Strategies. - Tomoharu Nakashima; Hisao Ishibuchi; Masahiro Takatani; Manabu Nii (CIG, 2006)

A Cost-based Fuzzy Rule-based System for Pattern Classification Problems. - Tomoharu Nakashima; Yasuyuki Yokota; Gerald Schaefer; Hisao Ishibuchi (FUZZ-IEEE, 2006)

A Self-Adaptive Hybrid Genetic Algorithm for Color Clustering. - Tarek A. El-Mihoub; Lars Nolle; Gerald Schaefer; Tomoharu Nakashima; Adrian Hopgood (SMC, 2006)

Examining the Effect of Cost Assignment on the Performance of Cost-Based Classification Systems. - Tomoharu Nakashima; Yasuyuki Yokota; Gerald Schaefer; Hisao Ishibuchi (SMC, 2006)

An approach to fuzzy default reasoning for function approximation. - Hisao Ishibuchi; Takashi Yamamoto; Tomoharu Nakashima (Soft Comput., 2006)

Mimicking Dribble Trajectories by Neural Networks for RoboCup Soccer Simulation. - Tomoharu Nakashima; Hisao Ishibuchi (ISIC, 2007)

Cost-Sensitive Fuzzy Classification for Medical Diagnosis. - Gerald Schaefer; Tomoharu Nakashima; Yasuyuki Yokota; Hisao Ishibuchi (CIBCB, 2007)

Introducing Class-Based Classification Priority in Fuzzy Rule-Based Classification Systems. - Tomoharu Nakashima; Yasuyuki Yokota; Gerald Schaefer; Hisao Ishibuchi (FUZZ-IEEE, 2007)

Fuzzy Classification of Gene Expression Data. - Gerald Schaefer; Tomoharu Nakashima; Yasuyuki Yokota; Hisao Ishibuchi (FUZZ-IEEE, 2007)

Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms. - Gerald Schaefer; Tomoharu Nakashima; Michal Zavisek; Yasuyuki Yokota; Ales Drastich; Hisao Ishibuchi (FUZZ-IEEE, 2007)

A genetic approach to the design of autonomous agents for futures trading. - Tomoharu Nakashima; Yasuyuki Yokota; Yukio Shoji; Hisao Ishibuchi (Artif. Life Robotics, 2007)

Multiple regression with fuzzy data. - Andrzej Bargiela; Witold Pedrycz; Tomoharu Nakashima (Fuzzy Sets Syst., 2007)

A weighted fuzzy classifier and its application to image processing tasks. - Tomoharu Nakashima; Gerald Schaefer; Yasuyuki Yokota; Hisao Ishibuchi (Fuzzy Sets Syst., 2007)

Constructing Cost-Sensitive Fuzzy-Rule-Based Systems for Pattern Classification Problems. - Tomoharu Nakashima; Yasuyuki Yokota; Hisao Ishibuchi; Gerald Schaefer; Ales Drastich; Michal Zavisek (J. Adv. Comput. Intell. Intell. Informatics, 2007)

An overview of Genetic Algorithms in simulation soccer. - William Plant; Gerald Schaefer; Tomoharu Nakashima (IEEE Congress on Evolutionary Computation, 2008)

Comparison of simulated annealing and SASS for parameter estimation of biochemical networks. - Josep Sayol; Lars Nolle; Gerald Schaefer; Tomoharu Nakashima (IEEE Congress on Evolutionary Computation, 2008)

A study on constructing fuzzy systems for high-level decision making in a car racing game. - Seiya Fujii; Tomoharu Nakashima; Hisao Ishibuchi (FUZZ-IEEE, 2008)

Analysis of Breast Thermograms Based on Statistical Image Features and Hybrid Fuzzy Classification. - Gerald Schaefer; Tomoharu Nakashima; Michal Zavisek (ISVC (1), 2008)

Effect of opponent players on the performance of fuzzy decision making systems for car racing. - Tomoharu Nakashima; Seiya Fujii (SMC, 2008)

A cost-based fuzzy system for pattern classification with class importance. - Tomoharu Nakashima; Yasuyuki Yokota; Hisao Ishibuchi; Gerald Schaefer (Artif. Life Robotics, 2008)

The 2007 IEEE CEC simulated car racing competition. - 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; et al. (Genet. Program. Evolvable Mach., 2008)

Fuzzy Classification for Gene Expression Data Analysis. - Gerald Schaefer; Tomoharu Nakashima; Yasuyuki Yokota (Computational Intelligence in Bioinformatics, 2008)

Efficiency measurement for agent simulation based on DEA with imprecise data. - Shingo Aoki; Kazushige Inoue; Tomoharu Nakashima; Katsuhiro Honda (FUZZ-IEEE, 2009)

Fuzzy Rule-based Classification Systems in Medical Image Understanding. - Wojciech Tarnawski; Gerald Schaefer; Tomoharu Nakashima; Lukasz Miroslaw (IPCV, 2009)

Michigan Style Fuzzy Classification for Gene Expression Analysis. - Gerald Schaefer; Tomoharu Nakashima (WSC, 2009)

Thermography based breast cancer analysis using statistical features and fuzzy classification. - Gerald Schaefer; Michal Zavisek; Tomoharu Nakashima (Pattern Recognit., 2009)

Gene Expression Analysis by Fuzzy and Hybrid Fuzzy Classification. - Gerald Schaefer; Tomoharu Nakashima; Hisao Ishibuchi (Fuzzy Systems in Bioinformatics and Computational Biology, 2009)

Designing high-level decision making systems based on fuzzy if-then rules for a point-to-point car racing game. - Tomoharu Nakashima; Seiya Fujii (Soft Comput., 2010)

Data mining of gene expression data by fuzzy and hybrid fuzzy methods. - Gerald Schaefer; Tomoharu Nakashima (IEEE Trans. Inf. Technol. Biomed., 2010)

Classification Confidence Of Fuzzy Rule-Based Classifiers. - Tomoharu Nakashima; Ashish Ghosh (ECMS, 2011)

A visual debugger for developing RoboCup soccer 3D agents. - Yosuke Nakamura; Tomoharu Nakashima (Artif. Life Robotics, 2011)

On the use of human instruction for improving the behavior of RoboCup soccer agents. - Yosuke Nakamura; Tomoharu Nakashima (Artif. Life Robotics, 2011)

Parallelizing fuzzy rule generation using GPGPU. - Takesuke Uenishi; Tomoharu Nakashima; Noriyuki Fujimoto (Artif. Life Robotics, 2011)

Online Cooperative Behavior Planning Using a Tree Search Method in the RoboCup Soccer Simulation. - Hidehisa Akiyama; Shigeto Aramaki; Tomoharu Nakashima (INCoS, 2012)

HELIOS2012: RoboCup 2012 Soccer Simulation 2D League Champion. - Hidehisa Akiyama; Tomoharu Nakashima (RoboCup, 2012)

Team formation estimation using cluster analysis and triangulation model. - Hidehisa Akiyama; Shigeto Aramaki; Tomoharu Nakashima (SCIS&ISIS, 2012)

A Construction Method of Fuzzy Classifiers Using Confidence-weighted Learning. - Tomoharu Nakashima; Takeshi Sumitani; Andrzej Bargiela (KES, 2013)

HELIOS Base: An Open Source Package for the RoboCup Soccer 2D Simulation. - Hidehisa Akiyama; Tomoharu Nakashima (RoboCup, 2013)

A Macrophage Simulator for Understanding Its Dynamic Behaviour from Video Images. - Benjamin Culeux; Tomoharu Nakashima; Toshinobu Hayashi; Manabu Nii; Yutaka Komai (SMC, 2013)

Michigan vs. Pittsburgh Style GA Optimisation of Fuzzy Rule Bases for Gene Expression Analysis. - Gerald Schaefer; Tomoharu Nakashima (Int. J. Fuzzy Syst. Appl., 2013)

Cost-sensitive texture classification. - Gerald Schaefer; Bartosz Krawczyk; Niraj P. Doshi; Tomoharu Nakashima (IEEE Congress on Evolutionary Computation, 2014)

Fusion of multi-spectral and panchromatic satellite images using principal component analysis and fuzzy logic. - Reham Gharbia; Ali Hassan El Baz; Aboul Ella Hassanien; Gerald Schaefer; Tomoharu Nakashima; Ahmad Taher Azar (FUZZ-IEEE, 2014)

Medical diagnosis and monotonicity clarification using SIRMs connected fuzzy inference model with functional weights. - Hirosato Seki; Tomoharu Nakashima (FUZZ-IEEE, 2014)

Complex-valued SIRMs connected fuzzy inference model. - Hirosato Seki; Tomoharu Nakashima (GrC, 2014)

A three-dimensional macrophages movement analyser. - Benjamin Culeux; Tomoharu Nakashima; Toshinobu Hayashi; Manabu Nii; Yutaka Komai (SCIS&ISIS, 2014)

Proposition of a three layers architecture for adaptable artificial intelligence. - Benoit Vallade; Alexandre David; Tomoharu Nakashima (SCIS&ISIS, 2014)

A new approach to path-finding by possibilities search. - Benoit Vallade; Tomoharu Nakashima (SCIS&ISIS, 2014)

Strategies for addressing class imbalance in ensemble classification of thermography breast cancer features. - Gerald Schaefer; Tomoharu Nakashima (CEC, 2015)

Kick Extraction for Reducing Uncertainty in RoboCup Logs. - Tomoharu Nakashima; Satoshi Mifune; Jordan Henrio; Oliver Obst; Peter Wang; Mikhail Prokopenko (HCI (5), 2015)

4D Simulator Using Evolving Cellular Automata for Computer Aided Macrophage Behavior Analysis. - Yuichi Ishibashi; Manabu Nii; Daiki Komori; Takuya Iwamoto; Tomoharu Nakashima; Yutaka Komai (ICETET, 2015)

Three Layers Framework Concept for Adjustable Artificial Intelligence. - Benoit Vallade; Alexandre David; Tomoharu Nakashima (J. Adv. Comput. Intell. Intell. Informatics, 2015)

The Effect of the Arrangement of Fuzzy If-Then Rules on the Performance of On-Line Fuzzy Classification. - Tomoharu Nakashima (HCI (4), 2016)

Selecting the Best Player Formation for Corner-Kick Situations Based on Bayes' Estimation. - Jordan Henrio; Thomas Henn; Tomoharu Nakashima; Hidehisa Akiyama (RoboCup, 2016)

Position Prediction of Opponent Players by SIRMs Fuzzy Models for RoboCup Soccer 2D Simulation. - Tomonari Nakade; Tomoharu Nakashima; Hidehisa Akiyama; Hirosato Seki (SCIS&ISIS, 2016)

Map Uncertainty Reduction for a Team of Autonomous Drones Using Simulated Annealing and Bayesian Optimization. - Jordan Henrio; Tomoharu Nakashima (HCI (4), 2017)

Incremental learning for SIRMs fuzzy systems by Adam method. - Shu Matsumura; Tomoharu Nakashima (IFSA-SCIS, 2017)

Online Opponent Formation Identification Based on Position Information. - Takuya Fukushima; Tomoharu Nakashima; Hidehisa Akiyama (RoboCup, 2017)

Optimizing player's formations for corner-kick situations in RoboCup soccer 2D simulation. - Thomas Henn; Jordan Henrio; Tomoharu Nakashima (Artif. Life Robotics, 2017)

HELIOS2018: RoboCup 2018 Soccer Simulation 2D League Champion. - Hidehisa Akiyama; Tomoharu Nakashima; Takuya Fukushima; Jiarun Zhong; Yudai Suzuki; An Ohori (RoboCup, 2018)

Mimicking an Expert Team Through the Learning of Evaluation Functions from Action Sequences. - Takuya Fukushima; Tomoharu Nakashima; Hidehisa Akiyama (RoboCup, 2018)

Evaluation of Situations in RoboCup 2D Simulations Using Soccer Field Images. - Tanguy Pomas; Tomoharu Nakashima (RoboCup, 2018)

A Study on a Parallelization of Parameter-Less Population Pyramid. - Taku Hasegawa; Tomoharu Nakashima (SCIS&ISIS, 2018)

Anomaly Detection in Videos Recorded by Drones in a Surveillance Context. - Jordan Henrio; Tomoharu Nakashima (SMC, 2018)

Estimating Optimal Values for Intentional-Value-Substitution Learning. - Takuya Fukushima; Taku Hasegawa; Tomoharu Nakashima (MDAI, 2019)

Similarity Analysis of Action Trajectories Based on Kick Distributions. - Takuya Fukushima; Tomoharu Nakashima; Hidehisa Akiyama (RoboCup, 2019)

Game-Watching Should be More Entertaining: Real-Time Application of Field-Situation Prediction to a Soccer Monitor. - Yudai Suzuki; Takuya Fukushima; Léa Thibout; Tomoharu Nakashima; Hidehisa Akiyama (RoboCup, 2019)

On the Use of Simulated Future Information for Evaluating Game Situations. - Yudai Suzuki; Tomoharu Nakashima (RoboCup, 2019)

Applying FOSSE Approach to Image Data for Evaluating Game Situations. - Yudai Suzuki; Tomoharu Nakashima (SSCI, 2019)

Route planning for multiple surveillance autonomous drones using a discrete firefly algorithm and a Bayesian optimization method. - Jordan Henrio; Theo Deligne; Tomoharu Nakashima; Tatsuhisa Watanabe (Artif. Life Robotics, 2019)

A Genetic Algorithm Optimising Control Point Placement for Edge Bundling. - Ryosuke Saga; Tomoki Yoshikawa; Ken Wakita; Ken Sakamoto; Gerald Schaefer; Tomoharu Nakashima (VISIGRAPP (3: IVAPP), 2020)

Team Classification with Tactical Analysis Using Fuzzy Inference in RoboCup Soccer. - Takuya Fukushima; Tomoharu Nakashima; Vicenç Torra (SCIS/ISIS, 2020)

An Automatic Team Evaluation System for RoboCup Soccer Simulation 2D. - Ryota Kuga; Yudai Suzuki; Tomoharu Nakashima (SCIS/ISIS, 2020)

Evaluation-function modeling with multi-layered perceptron for RoboCup soccer 2D simulation. - Takuya Fukushima; Tomoharu Nakashima; Hidehisa Akiyama (Artif. Life Robotics, 2020)

Change Detection For Area Surveillance Using A Moving Camera. - Tatsuhisa Watanabe; Tomoharu Nakashima; Yoshifumi Kusunoki (ECMS, 2021)

Employing a View Field in Autonomous Robots and Optimization of Checkpoint Placement in Area Surveillance. - Yasuhiro Matsuda; Tomoharu Nakashima; Yoshifumi Kusunoki (SICE, 2021)

Optimal Value Estimation of Intentional-Value-Substitution for Learning Regression Models. - Takuya Fukushima; Tomoharu Nakashima; Taku Hasegawa; Vicenç Torra (J. Adv. Comput. Intell. Intell. Informatics, 2021)

HELIOS2022: RoboCup 2022 Soccer Simulation 2D Competition Champion. - Hidehisa Akiyama; Tomoharu Nakashima; Kyo Hatakeyama; Takumi Fujikawa (RoboCup, 2022)

HELIOS2023: RoboCup 2023 Soccer Simulation 2D Competition Champion. - Hidehisa Akiyama; Tomoharu Nakashima; Kyo Hatakeyama; Takumi Fujikawa; Akei Hishiki (RoboCup, 2023)

A Study on Multi-Class Online Fuzzy Classifiers for Dynamic Environments. - Kensuke Ajimoto; Yuma Yamamoto; Yoshifumi Kusunoki; Tomoharu Nakashima (FUZZ, 2024)

A Study on the Localization of a Mini 4WD Car Using Geomagnetic Information and Racetrack. - Tomoharu Nakashima; Yuuki Shibata; Kotaro Tanaka; Kentaro Sugi; Yoshifumi Kusunoki (ICMLC, 2024)

Soccer Gameplay Data Generation: Toward Integrating Computer Simulations and Human Sports Analysis. - Hidehisa Akiyama; Tomoharu Nakashima (RoboCup, 2024)

HELIOS2024: RoboCup Soccer Simulation 2D Competition Champion. - Hidehisa Akiyama; Tomoharu Nakashima; Takumi Fujikawa; Akei Hishiki; Shota Yano; Sota Okayama (RoboCup, 2024)

Development of a Robust Fuzzy $c$-Means Method Through Convex Analysis. - Yoshifumi Kusunoki; Tomoharu Nakashima (SCIS/ISIS, 2024)