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Special issue on "Stochastic Local Search: Recent developments and trends"., , , , и . ITOR, 27 (5): 2685-2686 (2020)Automating Data Science (Dagstuhl Seminar 18401)., , , и . Dagstuhl Reports, 8 (9): 154-181 (2018)Improving the performance of stochastic local search for maximum vertex weight clique problem using programming by optimization., , , и . Expert Syst. Appl., 213 (Part): 118913 (2023)Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems., , , и . IEEE Trans. Evol. Comput., 26 (6): 1351-1364 (2022)Automated Machine Learning for COVID-19 Forecasting., , и . IEEE Access, (2022)MultiETSC: automated machine learning for early time series classification., , и . Data Min. Knowl. Discov., 35 (6): 2602-2654 (2021)Artificial intelligence to advance Earth observation: a perspective., , , , , , , , , и 5 other автор(ы). CoRR, (2023)Automated Configuration and Usage of Strategy Portfolios for Bargaining., , и . CoRR, (2022)Automating Data Science: Prospects and Challenges., , , , , и . CoRR, (2021)Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors., , , и . SAT, том 7317 из Lecture Notes in Computer Science, стр. 228-241. Springer, (2012)