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2024, REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability, , http://arxiv.org/abs/2406.14214v3
,2024, ViLCo-Bench: VIdeo Language COntinual learning Benchmark, , http://arxiv.org/abs/2406.13123v1
,2024, BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics, , http://arxiv.org/abs/2406.08990v2
,2024, STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning, , http://arxiv.org/abs/2406.04035v3
,2024, Identifying high resolution benchmark data needs and Novel data-driven methodologies for Climate Downscaling, , http://arxiv.org/abs/2405.20346v1
,2024, Spectraformer: A Unified Random Feature Framework for Transformer, , http://arxiv.org/abs/2405.15310v2
,2024, Characterizing Information Seeking Processes with Multiple Physiological Signals, , http://dx.doi.org/10.1145/3626772.3657793
,2024, Illuminating the Unseen: Investigating the Context-induced Harms in Behavioral Sensing, , http://dx.doi.org/10.48550/arxiv.2404.14665
,2024, Large Language Models for Next Point-of-Interest Recommendation, , http://dx.doi.org/10.1145/3626772.3657840
,2024, GustosonicSense: Towards understanding the design of playful gustosonic eating experiences, , http://arxiv.org/abs/2403.10851v1
,2024, Prompt Mining for Language-based Human Mobility Forecasting, , http://arxiv.org/abs/2403.03544v1
,2024, SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding, , http://arxiv.org/abs/2402.12132v1
,2023, Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities, , http://dx.doi.org/10.48550/arxiv.2312.03330
,2023, Critiquing Self-report Practices for Human Mental and Wellbeing Computing at Ubicomp, , http://arxiv.org/abs/2311.15496v1
,2023, Automated Mobile Sensing Strategies Generation for Human Behaviour Understanding, , http://arxiv.org/abs/2311.05457v1
,2023, Utilizing Language Models for Energy Load Forecasting, , http://arxiv.org/abs/2310.17788v1
,2023, ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality, , http://dx.doi.org/10.48550/arxiv.2310.16242
,2023, "Living Within Four Walls": Exploring Emotional and Social Dynamics in Mobile Usage During Home Confinement, , http://arxiv.org/abs/2310.13304v2
,2023, Human Mobility Question Answering (Vision Paper), , http://arxiv.org/abs/2310.04443v2
,2023, MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings, , http://dx.doi.org/10.48550/arxiv.2309.08648
,2023, Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse, , http://dx.doi.org/10.48550/arxiv.2309.04211
,2023, Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning, , http://dx.doi.org/10.1145/3600100.3623726
,2023, How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets, , http://dx.doi.org/10.48550/arxiv.2309.01288
,2023, i-Align: an interpretable knowledge graph alignment model, , http://dx.doi.org/10.48550/arxiv.2308.13755
,2023, Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction, , http://dx.doi.org/10.48550/arxiv.2308.12575
,2023, Designing and Evaluating Presentation Strategies for Fact-Checked Content, , http://dx.doi.org/10.1145/3583780.3614841
,2023, Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs, , http://arxiv.org/abs/2308.09896v1
,2023, CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking, , http://dx.doi.org/10.48550/arxiv.2307.16847
,2023, Towards Mobility Data Science (Vision Paper), , http://arxiv.org/abs/2307.05717v4
,2023, A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality, , http://dx.doi.org/10.48550/arxiv.2306.11773
,2023, Continually learning out-of-distribution spatiotemporal data for robust energy forecasting, , http://dx.doi.org/10.1007/978-3-031-43430-3_1
,2023, Message Passing Neural Networks for Traffic Forecasting, , http://arxiv.org/abs/2305.05740v1
,2023, Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT), , http://dx.doi.org/10.1007/s10618-023-00982-0
,2023, Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study, , http://dx.doi.org/10.48550/arxiv.2305.00619
,2023, Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities, , http://dx.doi.org/10.1145/3539618.3591981
,2023, Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness, , http://dx.doi.org/10.1145/3630106.3658989
,2023, Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services, , http://arxiv.org/abs/2304.08721v1
,2023, Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting, , http://dx.doi.org/10.1145/3576842.3582362
,2023, Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction, , http://arxiv.org/abs/2301.04482v2
,2022, Detecting Change Intervals with Isolation Distributional Kernel, , http://dx.doi.org/10.48550/arxiv.2212.14630
,2022, SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series, , http://arxiv.org/abs/2212.03560v2
,2022, Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values, , http://dx.doi.org/10.48550/arxiv.2211.06045
,2022, Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019--2020 Australian Bushfires Case Study, , http://arxiv.org/abs/2210.09034v1
,2022, PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting, , http://arxiv.org/abs/2210.08964v5
,2022, Leveraging Language Foundation Models for Human Mobility Forecasting, , http://arxiv.org/abs/2209.05479v2
,2022, Imagining Future Digital Assistants at Work: A Study of Task Management Needs, , http://arxiv.org/abs/2208.03443v1
,2022, COCOA: Cross Modality Contrastive Learning for Sensor Data, , http://dx.doi.org/10.1145/3550316
,2022, Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction, , http://dx.doi.org/10.1145/3535508.3545535
,2022, How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies, , http://arxiv.org/abs/2207.04581v4
,2022, Investigating the Effects of Mood & Usage Behaviour on Notification Response Time, , http://arxiv.org/abs/2207.03405v1
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