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Automatic Test Transition Paths Generation Approach from EFSM Using State Tree., , , , , и . QRS Companion, стр. 87-93. IEEE, (2018)Zero-Shot Learners for Natural Language Understanding via a Unified Multiple-Choice Perspective., , , , , и . IEEE Access, (2023)A review of regional distributed energy system planning and design., , , и . Int. J. Embed. Syst., 14 (1): 89-100 (2021)The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks., , , , и . CoRR, (2023)Matrix representations of the inverse problem in the graph model for conflict resolution., , , и . Eur. J. Oper. Res., 270 (1): 282-293 (2018)The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks., , , , и . ACM Trans. Softw. Eng. Methodol., 33 (2): 51:1-51:24 (февраля 2024)In-vivo high-speed biomechanical imaging of the cornea using Corvis ST and digital image correlation., , , , и . Comput. Biol. Medicine, (февраля 2023)Using a stacked ensemble learning framework to predict modulators of protein-protein interactions., , , , и . Comput. Biol. Medicine, (июля 2023)Joint pairwise graph embedded sparse deep belief network for fault diagnosis., , , , , , и . Eng. Appl. Artif. Intell., (2021)Implementation of Aging Mechanism Analysis and Prediction for XILINX 7-Series FPGAs with a 28-nm Process., , , , и . Sensors, 22 (12): 4439 (2022)