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Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks.

, , , , and . CEC, page 1-8. IEEE, (2024)

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Explaining Differential Evolution Performance Through Problem Landscape Characteristics., , , and . BIOMA, volume 13627 of Lecture Notes in Computer Science, page 99-113. Springer, (2022)Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction., , , , and . CEC, page 1-8. IEEE, (2023)Recent Advances in Meta-features Used for Representing Black-box Single-objective Continuous Optimization., , and . GECCO Companion, page 1471-1494. ACM, (2025)Comparing Solvability Patterns of Algorithms across Diverse Problem Landscapes., and . GECCO Companion, page 143-146. ACM, (2024)A Learning Search Algorithm for the Restricted Longest Common Subsequence Problem., , , , , and . CoRR, (2024)Design Choices That Matter: A Functional ANOVA Analysis for Remote Sensing Multi-Label Classification., , , , and . CoRR, (August 2026)A learning search algorithm for the Restricted Longest Common Subsequence problem., , , , , and . Expert Syst. Appl., (2025)A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization., , , , , and . CoRR, (2024)Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks., , , , and . CEC, page 1-8. IEEE, (2024)Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization., , , , , and . CoRR, (2024)