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Personalizing performance regression models to black-box optimization problems.

, , , , and . GECCO, page 669-677. ACM, (2021)

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On Statistical Analysis of MOEAs with Multiple Performance Indicators., , and . CoRR, (2020)Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration., , , , , , , , and . PPSN (1), volume 13398 of Lecture Notes in Computer Science, page 18-31. Springer, (2022)Data-driven Autism Biomarkers Selection by using Signal Processing and Machine Learning Techniques., , , , , and . BIOINFORMATICS, page 201-208. SciTePress, (2019)978-989-758-353-7.Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction., , , , and . CEC, page 1-8. IEEE, (2022)SciFoodNER: Food Named Entity Recognition for Scientific Text., , , and . IEEE Big Data, page 4065-4073. IEEE, (2022)Reducing bias in multi-objective optimization benchmarking., and . GECCO Companion, page 27-28. ACM, (2021)Robust benchmarking for multi-objective optimization., and . GECCO Companion, page 9-10. ACM, (2021)Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data., , and . IEEE BigData, page 3563-3572. IEEE, (2020)Linking Problem Landscape Features with the Performance of Individual CMA-ES Modules - Data., , , , , and . (February 2022)Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks., , , , and . CEC, page 1-8. IEEE, (2024)