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Forecasting traffic flow with spatial-temporal convolutional graph attention networks.

, , and . Neural Comput. Appl., 34 (18): 15457-15479 (2022)

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Rollover Prevention Control of Electric Vehicles Based on Multi-Objective Optimization Coordination Under Extreme Conditions., , , , , , and . IEEE Trans. Veh. Technol., 72 (10): 12784-12798 (October 2023)Forecasting traffic flow with spatial-temporal convolutional graph attention networks., , and . Neural Comput. Appl., 34 (18): 15457-15479 (2022)Safe Inputs Approximation for Black-Box Systems., , , , , and . ICECCS, page 180-189. IEEE, (2019)Using Coq for Formal Modeling and Verification of Timed Connectors., , , , and . SEFM Workshops, volume 10729 of Lecture Notes in Computer Science, page 558-573. Springer, (2017)Weighted automata extraction and explanation of recurrent neural networks for natural language tasks., , , and . J. Log. Algebraic Methods Program., (January 2024)A formal framework capturing real-time and stochastic behavior in connectors., , , and . Sci. Comput. Program., (2019)Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting., , , and . CIKM, page 1853-1862. ACM, (2020)Towards a Unifying Logical Framework for Neural Networks., , and . ICTAC, volume 13572 of Lecture Notes in Computer Science, page 442-461. Springer, (2022)Towards characterizing adversarial defects of deep learning software from the lens of uncertainty., , , , , , , and . ICSE, page 739-751. ACM, (2020)Using Recurrent Neural Network to Predict Tactics for Proving Component Connector Properties in Coq., , , and . TASE, page 107-112. IEEE, (2019)