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Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy., , and . GECCO, page 691-699. ACM, (2019)Hierarchical Motion Tracking Using Matching of Sparse Features., and . SITIS, page 449-456. IEEE, (2018)Overview of surrogate-model versions of covariance matrix adaptation evolution strategy., , , and . GECCO (Companion), page 1622-1629. ACM, (2017)Dynamic classifier aggregation using interaction-sensitive fuzzy measures., and . Fuzzy Sets Syst., (2015)Video Scene Location Recognition with Neural Networks., , , and . CoRR, (2023)Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts., , , and . CoRR, (2023)Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings., and . IAL@PKDD/ECML, volume 2660 of CEUR Workshop Proceedings, page 72-77. CEUR-WS.org, (2020)Neural-network-based estimation of normal distributions in black-box optimization., , and . ESANN, (2022)Using Past Experience for Configuration of Gaussian Processes in Black-Box Optimization., , , and . LION, volume 12931 of Lecture Notes in Computer Science, page 167-182. Springer, (2021)Measures of quality of rulesets extracted from data.. ITAT, volume 414 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)