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G-LIME: Statistical learning for local interpretations of deep neural networks using global priors., , , , , , , и . Artif. Intell., (2023)MODES: model-based optimization on distributed embedded systems., , , , , , и . Mach. Learn., 110 (6): 1527-1547 (2021)Energy-Efficient Real-Time Scheduling of DAG Tasks., , , , и . ACM Trans. Embed. Comput. Syst., 17 (5): 84:1-84:25 (2018)A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications., , , , , , , и . IEEE Trans. Multim., (2023)Robust Cross-Modal Knowledge Distillation for Unconstrained Videos., , , , , и . CoRR, (2023)C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak., , , , , , и . CoRR, (2020)Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study., , , , и . CoRR, (2021)ExpNet: A unified network for Expert-Level Classification., , , , , , и . CoRR, (2022)PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset., , , , , , , , , и 1 other автор(ы). CoRR, (2021)Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features., , , , , , , и . CoRR, (2022)