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Deep statistics: more robust performance statistics for single-objective optimization benchmarking., , , , , и . GECCO Companion, стр. 5-6. ACM, (2020)A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures., , , и . Big Data Res., (2021)FooDis: A food-disease relation mining pipeline., , и . Artif. Intell. Medicine, (августа 2023)On Statistical Analysis of MOEAs with Multiple Performance Indicators., , и . CoRR, (2020)Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data., , и . IEEE BigData, стр. 3563-3572. IEEE, (2020)On Statistical Analysis of MOEAs with Multiple Performance Indicators., , и . EMO, том 12654 из Lecture Notes in Computer Science, стр. 26-37. Springer, (2021)Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction., , , , и . CEC, стр. 1-8. IEEE, (2022)Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration., , , , , , , , и . PPSN (1), том 13398 из Lecture Notes in Computer Science, стр. 18-31. Springer, (2022)Data-driven Autism Biomarkers Selection by using Signal Processing and Machine Learning Techniques., , , , , и . BIOINFORMATICS, стр. 201-208. SciTePress, (2019)978-989-758-353-7.Reducing bias in multi-objective optimization benchmarking., и . GECCO Companion, стр. 27-28. ACM, (2021)