Masaya Nakata - RankMe

76 papers A* 1A 9B 16C 1Misc 1Journal 19Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Class Inference Scheme with Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems. ACM Trans. Evol. Learn. Optim. Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2026	J	`jnl`	Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems. IEEE Trans. Evol. Comput. Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2025	J	`jnl`	A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems. CoRR Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2025	J	`jnl`	A surrogate-assisted memetic algorithm for permutation-based combinatorial optimization problems. Swarm Evol. Comput. Takashi Ikeguchi, Kei Nishihara, Yo Kawauchi, Yuji Koguma, Masaya Nakata
2025	J	`jnl`	Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems. CoRR Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2025	—	`conf`	An Improvement of RVEA Using the Inverted Approach. ISMSI Ryudai Kato, Masaya Nakata
2025	—	`conf`	Evidential Fuzzy Rule-Based Machine Learning to Quantify Classification Uncertainty. GECCO Companion Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2025	—	`conf`	Evolutionary Co-Optimization of Rule Shape and Fuzziness in Rule-Based Machine Learning. GECCO Companion Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2025	—	`conf`	Evolutionary Multiobjective Optimization Assisted by Scalarization Function Approximation for High-Dimensional Expensive Problems (HOP GECCO'25). GECCO Companion Yuma Horaguchi, Kei Nishihara, Masaya Nakata
2025	A	`conf`	High-Dimensional Expensive Multiobjective Optimization Using a Surrogate-Assisted Multifactorial Evolutionary Algorithm. GECCO Yuma Horaguchi, Masaya Nakata
2025	—	`conf`	Stochastic Local Mutation for Efficient Membership Function Exploration in Fuzzy Classifiers. FUZZ Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2025	—	`conf`	Sustainable Performance Improvement of Surrogate-Assisted Evolutionary Algorithms Using Tabu Search. IJCCI (2) Kei Nishihara, Masaya Nakata, Shinya Watanabe
2025	A*	`conf`	X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning. IJCAI Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2025	J	`jnl`	X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning. CoRR Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2024	B	`conf`	A Dual Surrogate-Based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems. CEC Yuma Horaguchi, Masaya Nakata
2024	B	`conf`	A Random Forest-Assisted Local Search for Expensive Permutation-based Combinatorial Optimization Problems. CEC Takashi Ikeguchi, Shun Sudo, Yuji Koguma, Masaya Nakata
2024	—	`conf`	A Surrogate-Assisted Partial Optimization for Expensive Constrained Optimization Problems. PPSN (2) Kei Nishihara, Masaya Nakata
2024	—	`conf`	A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems. PPSN (3) Hiroki Shiraishi, Rongguang Ye, Hisao Ishibuchi, Masaya Nakata
2024	J	`jnl`	Emulation-based adaptive differential evolution: fast and auto-tunable approach for moderately expensive optimization problems. Complex Intell. Syst. Kei Nishihara, Masaya Nakata
2024	J	`jnl`	Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems. Swarm Evol. Comput. Yuma Horaguchi, Kei Nishihara, Masaya Nakata
2024	B	`conf`	Oversampling-Guided Search for Evolutionary Multiobjective Optimization. CEC Norihiro Kimoto, Yuma Horaguchi, Masaya Nakata
2023	—	`conf`	High-Dimensional Expensive Optimization by Classification-based Multiobjective Evolutionary Algorithm with Dimensionality Reduction. SICE Yuma Horaguchi, Masaya Nakata
2023	—	`conf`	Utilizing the Expected Gradient in Surrogate-assisted Evolutionary Algorithms. GECCO Companion Kei Nishihara, Masaya Nakata
2022	J	`jnl`	Automatic Construction of Loading Algorithms With Interactive Genetic Programming. IEEE Access Yusuke Hiruta, Kei Nishihara, Yuji Koguma, Masakazu Fujii, Masaya Nakata
2022	J	`jnl`	Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems. IEEE Trans. Evol. Comput. Takumi Sonoda, Masaya Nakata
2022	—	`conf`	Surrogate-assisted Differential Evolution with Adaptation of Training Data Selection Criterion. SSCI Kei Nishihara, Masaya Nakata
2022	J	`jnl`	Theoretical Analysis of Accuracy-Based Fitness on Learning Classifier Systems. IEEE Access Rui Sugawara, Masaya Nakata
2021	B	`conf`	Comparison of Adaptive Differential Evolution Algorithms on the MOEA/D-DE Framework. CEC Kei Nishihara, Masaya Nakata
2021	A	`conf`	Convergence analysis of rule-generality on the XCS classifier system. GECCO Yoshiki Nakamura, Motoki Horiuchi, Masaya Nakata
2021	—	`conf`	Extended Learning Optimality Theory for the XCS classifier system on Multiple Reward Scheme. SSCI Motoki Horiuchi, Masaya Nakata
2021	J	`jnl`	Learning Optimality Theory for Accuracy-Based Learning Classifier Systems. IEEE Trans. Evol. Comput. Masaya Nakata, Will N. Browne
2021	—	`conf`	Learning classifier systems: from principles to modern systems. GECCO Companion Anthony Stein, Masaya Nakata
2020	—	`conf`	An overview of LCS research from IWLCS 2019 to 2020. GECCO Companion David Pätzel, Anthony Stein, Masaya Nakata
2020	B	`conf`	Competitive-Adaptive Algorithm-Tuning of Metaheuristics inspired by the Equilibrium Theory: A Case Study. CEC Kei Nishihara, Masaya Nakata
2020	—	`conf`	Learning classifier systems: from principles to modern systems. GECCO Companion Anthony Stein, Masaya Nakata
2020	B	`conf`	MOEA/D-S CEC Takumi Sonoda, Masaya Nakata
2020	A	`conf`	Self-adaptation of XCS learning parameters based on learning theory. GECCO Motoki Horiuchi, Masaya Nakata
2019	B	`conf`	Complex-Valued-based Learning Classifier System for POMDP Environments. CEC Keiki Takadama, Daichi Yamazaki, Masaya Nakata, Hiroyuki Sato
2019	—	`conf`	How XCS can prevent misdistinguishing rule accuracy: a preliminary study. GECCO (Companion) Masaya Nakata, Will Neil Browne
2018	B	`conf`	Investigation about Control of False Positive Rate for Automatic Sperm Detection in Assisted Reproductive Technology. SMC Hayato Sasaki, Masaya Nakata, Mizuki Yamamoto, Teppei Takeshima, Yasushi Yumura, Tomoki Hamagami
2018	A	`conf`	Theoretical adaptation of multiple rule-generation in XCS. GECCO Masaya Nakata, Will N. Browne, Tomoki Hamagami
2017	J	`jnl`	An Analysis of Rule Deletion Scheme in XCS on Reinforcement Learning Problem. J. Adv. Comput. Intell. Intell. Informatics Masaya Nakata, Tomoki Hamagami
2017	J	`jnl`	Approach to Clustering with Variance-Based XCS. J. Adv. Comput. Intell. Intell. Informatics Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama
2017	B	`conf`	Effect of parameter sharing for multimodal deep autoencoders. SMC Hayato Sasaki, Masaya Nakata, Fumiya Hamatsu, Tomoki Hamagami
2017	Misc	`conf`	From Extraction to Generation of Design Information -Paradigm Shift in Data Mining via Evolutionary Learning Classifier System. ICCS Kazuhisa Chiba, Masaya Nakata
2017	A	`conf`	Theoretical XCS parameter settings of learning accurate classifiers. GECCO Masaya Nakata, Will N. Browne, Tomoki Hamagami, Keiki Takadama
2016	B	`conf`	A modified cuckoo search algorithm for dynamic optimization problems. CEC Yuta Umenai, Fumito Uwano, Yusuke Tajima, Masaya Nakata, Hiroyuki Sato, Keiki Takadama
2016	—	`conf`	Extracting Different Abstracted Level Rule with Variance-Based LCS. SCIS&ISIS Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama, Hiroyuki Sato, Tim Kovacs
2016	—	`conf`	International Workshop on Evolutionary Rule-Based Machine Learning Workshop (IWERML) Welcome & Organization. GECCO (Companion) Karthik Kuber, Masaya Nakata, Kamran Shafi
2016	B	`conf`	Learning classifier system with deep autoencoder. CEC Kazuma Matsumoto, Yusuke Tajima, Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	J	`jnl`	Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. EAI Endorsed Trans. Self Adapt. Syst. Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	—	`conf`	Preventing Incorrect Opinion Sharing with Weighted Relationship Among Agents. HCI (5) Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	C	`conf`	Proceedings in Adaptation, Learning and Optimization. IES Masaya Nakata, Kazuhisa Chiba
2016	J	`jnl`	Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. EAI Endorsed Trans. Collab. Comput. Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs
2016	—	`conf`	Variance-based Learning Classifier System without Convergence of Reward Estimation. GECCO (Companion) Takato Tatsumi, Takahiro Komine, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2016	B	`conf`	XCS-DH: Minimal default hierarchies in XCS. CEC Tim Kovacs, Simon Rawles, Larry Bull, Masaya Nakata, Keiki Takadama
2015	B	`conf`	Detecting shoplifting from customer behavior data by extended XCS-SL: Towards feature extraction on class-imbalanced sequence data. CEC Minato Sato, Kotaro Usui, Masaya Nakata, Keiki Takadama
2015	J	`jnl`	Evolutionary Algorithm for Uncertain Evaluation Function. New Math. Nat. Comput. Yusuke Tajima, Masaya Nakata, Hiroyasu Matsushima, Yoshihiro Ichikawa, Hiroyuki Sato, Kiyohiko Hattori, Keiki Takadama
2015	B	`conf`	Extracting both generalized and specialized knowledge by XCS using Attribute Tracking and Feedback. CEC Keiki Takadama, Masaya Nakata
2015	B	`conf`	How should Learning Classifier Systems cover a state-action space? CEC Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Will Neil Browne, Keiki Takadama
2015	—	`conf`	Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. BICT Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
2015	—	`conf`	Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. BICT Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs
2015	J	`jnl`	Rule reduction by selection strategy in XCS with adaptive action map. Evol. Intell. Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
2015	J	`jnl`	XCS-SL: a rule-based genetic learning system for sequence labeling. Evol. Intell. Masaya Nakata, Tim Kovacs, Keiki Takadama
2014	A	`conf`	A modified XCS classifier system for sequence labeling. GECCO Masaya Nakata, Tim Kovacs, Keiki Takadama
2014	—	`conf`	Archives-holding XCS Classifier System: A preliminary study. NaBIC Takahiro Komine, Masaya Nakata, Keiki Takadama
2014	A	`conf`	Complete action map or best action map in accuracy-based reinforcement learning classifier systems. GECCO Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama
2014	A	`conf`	Messy Coding in the XCS Classifier System for Sequence Labeling. PPSN Masaya Nakata, Tim Kovacs, Keiki Takadama
2014	—	`conf`	Personalized real-time sleep stage remote monitoring system. ISMICT Yusuke Tajima, Masaya Nakata, Keiki Takadama
2014	—	`conf`	Reusable knowledge by linkage-classifier in Accuracy-based Learning Classifier System. NaBIC Kotaro Usui, Masaya Nakata, Keiki Takadama
2014	—	`conf`	Sleep Stage Estimation Using Synthesized Data of Heart Rate and Body Movement. AAAI Spring Symposia Yusuke Tajima, Masaya Nakata, Tomohiro Harada, Keiji Sato, Keiki Takadama
2013	A	`conf`	Selection strategy for XCS with adaptive action mapping. GECCO Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
2013	B	`conf`	Simple compact genetic algorithm for XCS. IEEE Congress on Evolutionary Computation Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
2012	—	`conf`	Enhancing Learning Capabilities by XCS with Best Action Mapping. PPSN (1) Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
2012	—	`conf`	XCS with Adaptive Action Mapping. SEAL Masaya Nakata, Pier Luca Lanzi, Keiki Takadama
2011	—	`conf`	Towards generalization by identification-based XCS in multi-steps problem. NaBIC Masaya Nakata, Fumiaki Sato, Keiki Takadama