Masaya Nakata

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 39

Top Topics

Optimization Problems

Evolutionary Algorithm

Sequence Labeling

Top Venues

GECCO Companion

GECCO (Companion)

Publications

Takashi Ikeguchi, Shun Sudo, Yuji Koguma, Masaya Nakata
A Random Forest-Assisted Local Search for Expensive Permutation-based Combinatorial Optimization Problems. CEC (2024)
Norihiro Kimoto, Yuma Horaguchi, Masaya Nakata
Oversampling-Guided Search for Evolutionary Multiobjective Optimization. CEC (2024)
Yuma Horaguchi, Kei Nishihara, Masaya Nakata
Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems. Swarm Evol. Comput. 86 (2024)
Yuma Horaguchi, Masaya Nakata
A Dual Surrogate-Based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems. CEC (2024)
Yuma Horaguchi, Masaya Nakata
High-Dimensional Expensive Optimization by Classification-based Multiobjective Evolutionary Algorithm with Dimensionality Reduction. SICE (2023)
Kei Nishihara, Masaya Nakata
Utilizing the Expected Gradient in Surrogate-assisted Evolutionary Algorithms. GECCO Companion (2023)
Takumi Sonoda, Masaya Nakata
Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems. IEEE Trans. Evol. Comput. 26 (6) (2022)
Yusuke Hiruta, Kei Nishihara, Yuji Koguma, Masakazu Fujii, Masaya Nakata
Automatic Construction of Loading Algorithms With Interactive Genetic Programming. IEEE Access 10 (2022)
Kei Nishihara, Masaya Nakata
Surrogate-assisted Differential Evolution with Adaptation of Training Data Selection Criterion. SSCI (2022)
Rui Sugawara, Masaya Nakata
Theoretical Analysis of Accuracy-Based Fitness on Learning Classifier Systems. IEEE Access 10 (2022)
Yoshiki Nakamura, Motoki Horiuchi, Masaya Nakata
Convergence analysis of rule-generality on the XCS classifier system. GECCO (2021)
Motoki Horiuchi, Masaya Nakata
Extended Learning Optimality Theory for the XCS classifier system on Multiple Reward Scheme. SSCI (2021)
Masaya Nakata, Will N. Browne
Learning Optimality Theory for Accuracy-Based Learning Classifier Systems. IEEE Trans. Evol. Comput. 25 (1) (2021)
Anthony Stein, Masaya Nakata
Learning classifier systems: from principles to modern systems. GECCO Companion (2021)
Kei Nishihara, Masaya Nakata
Comparison of Adaptive Differential Evolution Algorithms on the MOEA/D-DE Framework. CEC (2021)
Anthony Stein, Masaya Nakata
Learning classifier systems: from principles to modern systems. GECCO Companion (2020)
Motoki Horiuchi, Masaya Nakata
Self-adaptation of XCS learning parameters based on learning theory. GECCO (2020)
David Pätzel, Anthony Stein, Masaya Nakata
An overview of LCS research from IWLCS 2019 to 2020. GECCO Companion (2020)
Kei Nishihara, Masaya Nakata
Competitive-Adaptive Algorithm-Tuning of Metaheuristics inspired by the Equilibrium Theory: A Case Study. CEC (2020)
Takumi Sonoda, Masaya Nakata
: MOEA/D using SVM-based Surrogates adjusted to Subproblems for Many objective optimization. CEC (2020)
Masaya Nakata, Will Neil Browne
How XCS can prevent misdistinguishing rule accuracy: a preliminary study. GECCO (Companion) (2019)
Keiki Takadama, Daichi Yamazaki, Masaya Nakata, Hiroyuki Sato
Complex-Valued-based Learning Classifier System for POMDP Environments. CEC (2019)
Hayato Sasaki, Masaya Nakata, Mizuki Yamamoto, Teppei Takeshima, Yasushi Yumura, Tomoki Hamagami
Investigation about Control of False Positive Rate for Automatic Sperm Detection in Assisted Reproductive Technology. SMC (2018)
Masaya Nakata, Will N. Browne, Tomoki Hamagami
Theoretical adaptation of multiple rule-generation in XCS. GECCO (2018)
Masaya Nakata, Tomoki Hamagami
An Analysis of Rule Deletion Scheme in XCS on Reinforcement Learning Problem. J. Adv. Comput. Intell. Intell. Informatics 21 (5) (2017)
Kazuhisa Chiba, Masaya Nakata
From Extraction to Generation of Design Information -Paradigm Shift in Data Mining via Evolutionary Learning Classifier System. ICCS (2017)
Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama
Approach to Clustering with Variance-Based XCS. J. Adv. Comput. Intell. Intell. Informatics 21 (5) (2017)
Hayato Sasaki, Masaya Nakata, Fumiya Hamatsu, Tomoki Hamagami
Effect of parameter sharing for multimodal deep autoencoders. SMC (2017)
Masaya Nakata, Will N. Browne, Tomoki Hamagami, Keiki Takadama
Theoretical XCS parameter settings of learning accurate classifiers. GECCO (2017)
Tim Kovacs, Simon Rawles, Larry Bull, Masaya Nakata, Keiki Takadama
XCS-DH: Minimal default hierarchies in XCS. CEC (2016)
Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs
Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. EAI Endorsed Trans. Collab. Comput. 2 (8) (2016)
Masaya Nakata, Kazuhisa Chiba
Proceedings in Adaptation, Learning and Optimization. IES (2016)
Kazuma Matsumoto, Yusuke Tajima, Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
Learning classifier system with deep autoencoder. CEC (2016)
Takato Tatsumi, Takahiro Komine, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
Variance-based Learning Classifier System without Convergence of Reward Estimation. GECCO (Companion) (2016)
Karthik Kuber, Masaya Nakata, Kamran Shafi
International Workshop on Evolutionary Rule-Based Machine Learning Workshop (IWERML) Welcome & Organization. GECCO (Companion) (2016)
Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama, Hiroyuki Sato, Tim Kovacs
Extracting Different Abstracted Level Rule with Variance-Based LCS. SCIS&ISIS (2016)
Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. EAI Endorsed Trans. Self Adapt. Syst. 2 (6) (2016)
Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
Preventing Incorrect Opinion Sharing with Weighted Relationship Among Agents. HCI (5) (2016)
Yuta Umenai, Fumito Uwano, Yusuke Tajima, Masaya Nakata, Hiroyuki Sato, Keiki Takadama
A modified cuckoo search algorithm for dynamic optimization problems. CEC (2016)
Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. BICT (2015)
Yusuke Tajima, Masaya Nakata, Hiroyasu Matsushima, Yoshihiro Ichikawa, Hiroyuki Sato, Kiyohiko Hattori, Keiki Takadama
Evolutionary Algorithm for Uncertain Evaluation Function. New Math. Nat. Comput. 11 (2) (2015)
Masaya Nakata, Tim Kovacs, Keiki Takadama
XCS-SL: a rule-based genetic learning system for sequence labeling. Evol. Intell. 8 (2-3) (2015)
Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Will Neil Browne, Keiki Takadama
How should Learning Classifier Systems cover a state-action space? CEC (2015)
Keiki Takadama, Masaya Nakata
Extracting both generalized and specialized knowledge by XCS using Attribute Tracking and Feedback. CEC (2015)
Minato Sato, Kotaro Usui, Masaya Nakata, Keiki Takadama
Detecting shoplifting from customer behavior data by extended XCS-SL: Towards feature extraction on class-imbalanced sequence data. CEC (2015)
Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
Rule reduction by selection strategy in XCS with adaptive action map. Evol. Intell. 8 (2-3) (2015)
Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs
Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. BICT (2015)
Kotaro Usui, Masaya Nakata, Keiki Takadama
Reusable knowledge by linkage-classifier in Accuracy-based Learning Classifier System. NaBIC (2014)
Masaya Nakata, Tim Kovacs, Keiki Takadama
Messy Coding in the XCS Classifier System for Sequence Labeling. PPSN (2014)
Takahiro Komine, Masaya Nakata, Keiki Takadama
Archives-holding XCS Classifier System: A preliminary study. NaBIC (2014)
Yusuke Tajima, Masaya Nakata, Keiki Takadama
Personalized real-time sleep stage remote monitoring system. ISMICT (2014)
Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama
Complete action map or best action map in accuracy-based reinforcement learning classifier systems. GECCO (2014)
Masaya Nakata, Tim Kovacs, Keiki Takadama
A modified XCS classifier system for sequence labeling. GECCO (2014)
Yusuke Tajima, Masaya Nakata, Tomohiro Harada, Keiji Sato, Keiki Takadama
Sleep Stage Estimation Using Synthesized Data of Heart Rate and Body Movement. AAAI Spring Symposia (2014)
Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
Simple compact genetic algorithm for XCS. IEEE Congress on Evolutionary Computation (2013)
Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
Selection strategy for XCS with adaptive action mapping. GECCO (2013)
Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
Enhancing Learning Capabilities by XCS with Best Action Mapping. PPSN (1) (2012)
Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
XCS with Adaptive Action Mapping. SEAL (2012)
Masaya Nakata, Fumiaki Sato, Keiki Takadama
Towards generalization by identification-based XCS in multi-steps problem. NaBIC (2011)