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