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Towards understanding the importance of time-series features in automated algorithm performance prediction., , и . Expert Syst. Appl., 213 (Part): 119023 (2023)BuTTER: BidirecTional LSTM for Food Named-Entity Recognition., , , , и . IEEE BigData, стр. 3550-3556. IEEE, (2020)TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting., , и . Swarm Evol. Comput., (февраля 2024)Skills Named-Entity Recognition for Creating a Skill Inventory of Today's Workplace., , и . IEEE BigData, стр. 4561-4565. IEEE, (2021)FoodChem: A food-chemical relation extraction model., , и . SSCI, стр. 1-8. IEEE, (2021)TLA: Topological Landscape Analysis for Single-Objective Continuous Optimization Problem Instances., , и . SSCI, стр. 1698-1705. IEEE, (2022)A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization., , , , , и . CoRR, (2024)FooDis: A food-disease relation mining pipeline., , и . Artif. Intell. Medicine, (августа 2023)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)Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction., , , , и . CEC, стр. 1-8. IEEE, (2022)