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The rise of machine learning for detection and classification of malware: Research developments, trends and challenges., , и . J. Netw. Comput. Appl., (2020)CSP problems as algorithmic benchmarks: measures, methods and models.. University of Lleida, Spain, (2009)Explainable Machine Learning Models for Predicting COVID-19 Cases in Catalonia Based on Wastewater Monitoring Data., , , , , и . CCIA, том 375 из Frontiers in Artificial Intelligence and Applications, стр. 262-266. IOS Press, (2023)Edge Matching Puzzles as Hard SAT/CSP Benchmarks., , , и . CP, том 5202 из Lecture Notes in Computer Science, стр. 560-565. Springer, (2008)Bounding the Phase Transition on Edge Matching Puzzles., , , и . ISMVL, стр. 80-85. IEEE Computer Society, (2009)Solving Routing and Wavelength Assignment Problem with Conflict-Driven ASP Solvers., , , и . CCIA, том 256 из Frontiers in Artificial Intelligence and Applications, стр. 60-63. IOS Press, (2013)A Hierarchical Convolutional Neural Network for Malware Classification., , и . IJCNN, стр. 1-8. IEEE, (2019)Auditing static machine learning anti-Malware tools against metamorphic attacks., , , и . Comput. Secur., (2021)An End-to-End Deep Learning Architecture for Classification of Malware's Binary Content., , и . ICANN (3), том 11141 из Lecture Notes in Computer Science, стр. 383-391. Springer, (2018)Generating highly balanced sudoku problems as hard problems., , , , и . J. Heuristics, 17 (5): 589-614 (2011)