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Predicting Traffic Accidents with Event Recorder Data., , , , , and . PredictGIS@SIGSPATIAL, page 11-14. ACM, (2019)Context-aware spatio-temporal event prediction via convolutional Hawkes processes., , , , , and . Mach. Learn., 111 (8): 2929-2950 (2022)Marked Temporal Point Processes for Trip Demand Prediction in Bike Sharing Systems., , , , and . IEICE Trans. Inf. Syst., 102-D (9): 1635-1643 (2019)Online Traffic Flow Prediction Using Convolved Bilinear Poisson Regression., , and . MDM, page 134-143. IEEE Computer Society, (2017)Predicting Opinion Dynamics via Sociologically-Informed Neural Networks., and . KDD, page 1306-1316. ACM, (2022)Real-time and proactive navigation via spatio-temporal prediction., , , , , and . UbiComp/ISWC Adjunct, page 1559-1566. ACM, (2015)Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes., , , , , and . KDD, page 1276-1286. ACM, (2021)Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space., , , , and . CoRR, (2024)Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs., , , , , , and . NeurIPS, page 3000-3010. (2019)Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information., , , , , and . KDD, page 373-383. ACM, (2019)