Showing 1–20 of 201 results
/ Date/ Name
May 2, 2020DroTrack: High-speed Drone-based Object Tracking Under UncertaintySep 18, 2024Inside Out or Not: Privacy Implications of Emotional DisclosureFeb 26, 2025TrajLLM: A Modular LLM-Enhanced Agent-Based Framework for Realistic Human Trajectory SimulationOct 29, 2024A-UTE: Advection Informed, Uncertainty Aware Temperature EmulatorJun 21, 2023Towards Mobility Data Science (Vision Paper)Apr 23, 2022Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph AttentionMar 14, 2022Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model MultiplicityMay 23, 2024Identifying high resolution benchmark data needs and Novel data-driven methodologies for Climate DownscalingApr 18, 2023Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility ServicesMar 17, 2025Harnessing Test-time Adaptation for NLU tasks Involving Dialects of EnglishMay 24, 2024Spectraformer: A Unified Random Feature Framework for TransformerOct 21, 2025Illusions of reflection: open-ended task reveals systematic failures in Large Language Models' reflective reasoningJun 11, 2025STOAT: Spatial-Temporal Probabilistic Causal Inference NetworkJul 7, 2022Investigating the Effects of Mood & Usage Behaviour on Notification Response TimeOct 12, 2020Modelling Memory for Individual Re-identification in Decentralised Mobile Contact Tracing ApplicationsOct 22, 2021Signature-Graph NetworksAug 11, 2025What am I missing here?: Evaluating Large Language Models for Masked Sentence PredictionJun 10, 2025A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen ModelsJul 11, 2022How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness StrategiesMar 19, 2025Embedding spatial context in urban traffic forecasting with contrastive pre-training