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Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting., , , и . CIKM, стр. 1853-1862. ACM, (2020)Towards a Unifying Logical Framework for Neural Networks., , и . ICTAC, том 13572 из Lecture Notes in Computer Science, стр. 442-461. Springer, (2022)Towards characterizing adversarial defects of deep learning software from the lens of uncertainty., , , , , , , и . ICSE, стр. 739-751. ACM, (2020)Reasoning About Connectors in Coq., , , и . FACS, том 10231 из Lecture Notes in Computer Science, стр. 172-190. (2016)Using Recurrent Neural Network to Predict Tactics for Proving Component Connector Properties in Coq., , , и . TASE, стр. 107-112. IEEE, (2019)Forecasting traffic flow with spatial-temporal convolutional graph attention networks., , и . Neural Comput. Appl., 34 (18): 15457-15479 (2022)Safe Inputs Approximation for Black-Box Systems., , , , , и . ICECCS, стр. 180-189. IEEE, (2019)Using Coq for Formal Modeling and Verification of Timed Connectors., , , , и . SEFM Workshops, том 10729 из Lecture Notes in Computer Science, стр. 558-573. Springer, (2017)Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks., , , , и . CoRR, (2024)In the Age of Collaboration, the Computer-Aided Design Ecosystem is Behind: An Interview Study of Distributed CAD Practice., , , , и . Proc. ACM Hum. Comput. Interact., 7 (CSCW1): 1-29 (апреля 2023)