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07/31/2023
Latent Masking for Multimodal Self-supervised Learning in Health Timeseries
Limited availability of labeled data for machine learning on biomedical ...
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06/21/2023
Towards Mobility Data Science (Vision Paper)
Mobility data captures the locations of moving objects such as humans, a...
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04/18/2023
Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services
Micro-mobility services (e.g., e-bikes, e-scooters) are increasingly pop...
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10/14/2022
Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019–2020 Australian Bushfires Case Study
With the advancement and proliferation of technology, non-profit organis...
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07/11/2022
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies
With the introduction of machine learning in high-stakes decision making...
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07/07/2022
Investigating the Effects of Mood Usage Behaviour on Notification Response Time
Notifications are one of the most prevailing mechanisms on smartphones a...
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04/23/2022
Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention
Many real-world ubiquitous applications, such as parking recommendations...
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10/22/2021
GCCN: Global Context Convolutional Network
In this paper, we propose Global Context Convolutional Network (GCCN) fo...
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10/22/2021
Signature-Graph Networks
We propose a novel approach for visual representation learning called Si...
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03/31/2021
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems
Spatiotemporal data mining (STDM) discovers useful patterns from the dyn...
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10/12/2020
Modelling Memory for Individual Re-identification in Decentralised Mobile Contact Tracing Applications
In 2020 the coronavirus outbreak changed the lives of people worldwide. ...
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05/02/2020