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Please note that Researcher Profiles will be undergoing scheduled maintenance on Wednesday 7th Oct, from 8:00am to 9:00am. During this time, the Researcher Profiles system will be unavailable. We apologise for any inconvenience and appreciate your understanding.

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Preprints

Small EA; Clark JN; McWilliams CJ; Sokol K; Chan J; Salim FD; Santos-Rodriguez R, 2023, Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse, http://dx.doi.org/10.48550/arxiv.2309.04211

Hettiachchi D; Holcombe-James I; Livingstone S; de Silva A; Lease M; Salim FD; Sanderson M, 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

Trisedya BD; Salim FD; Chan J; Spina D; Scholer F; Sanderson M, 2023, i-Align: an interpretable knowledge graph alignment model, http://dx.doi.org/10.48550/arxiv.2308.13755

Liu Y; Zhang Z; Qin S; Salim FD; Yepes AJ, 2023, Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs, http://dx.doi.org/10.48550/arxiv.2308.09896

Qin KK; Rahaman MS; Ren Y; Cheng C-T; Cole I; Salim FD, 2023, A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality, http://dx.doi.org/10.48550/arxiv.2306.11773

Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2023, Message Passing Neural Networks for Traffic Forecasting, http://dx.doi.org/10.48550/arxiv.2305.05740

Liu J; Deldari S; Xue H; Nguyen V; Salim FD, 2023, Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study, http://dx.doi.org/10.48550/arxiv.2305.00619

Ji K; Spina D; Hettiachchi D; Salim FD; Scholer F, 2023, Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities, http://dx.doi.org/10.48550/arxiv.2304.13488

Kegalle H; Hettiachchi D; Chan J; Salim F; Sanderson M, 2023, Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services, http://dx.doi.org/10.48550/arxiv.2304.08721

Prabowo A; Shao W; Xue H; Koniusz P; Salim FD, 2023, Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting, http://dx.doi.org/10.48550/arxiv.2302.09956

Qin KK; Ren Y; Shao W; Lake B; Privitera F; Salim FD, 2023, Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction, http://dx.doi.org/10.48550/arxiv.2301.04482

Anderson C; Heinisch JS; Deldari S; Salim FD; Ohly S; David K; Pejovic V, 2022, Towards Social Role-Based Interruptibility Management, http://dx.doi.org/10.48550/arxiv.2106.04265

Liu Y; Qin S; Yepes AJ; Shao W; Zhang Z; Salim FD, 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

Rajapaksha D; Sokol K; Chan J; Salim F; Prasad M; Samarawickrama M, 2022, Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019--2020 Australian Bushfires Case Study, http://dx.doi.org/10.48550/arxiv.2210.09034

Xue H; Voutharoja BP; Salim FD, 2022, Leveraging Language Foundation Models for Human Mobility Forecasting, http://dx.doi.org/10.48550/arxiv.2209.05479

Khaokaew Y; Holcombe-James I; Rahaman MS; Liono J; Trippas JR; Spina D; Belkin N; Bailey P; Bennett PN; Ren Y; Sanderson M; Scholer F; White RW; Salim FD, 2022, Imagining Future Digital Assistants at Work: A Study of Task Management Needs, http://dx.doi.org/10.48550/arxiv.2208.03443

Deldari S; Xue H; Saeed A; Smith DV; Salim FD, 2022, COCOA: Cross Modality Contrastive Learning for Sensor Data, http://dx.doi.org/10.48550/arxiv.2208.00467

Gao N; Rahaman MS; Shao W; Ji K; Salim FD, 2022, Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses, http://dx.doi.org/10.48550/arxiv.2112.12342

Shao W; Jin Z; Wang S; Kang Y; Xiao X; Menouar H; Zhang Z; Zhang J; Salim F, 2022, Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention, http://dx.doi.org/10.48550/arxiv.2204.11008

Liu Y; Zhang Z; Yepes AJ; Salim FD, 2022, Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction, http://dx.doi.org/10.48550/arxiv.2207.06414

Heinisch JS; Gao N; Anderson C; Deldari S; David K; Salim F, 2022, Investigating the Effects of Mood & Usage Behaviour on Notification Response Time, http://dx.doi.org/10.48550/arxiv.2207.03405

Deldari S; Xue H; Saeed A; He J; Smith DV; Salim FD, 2022, Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data, http://dx.doi.org/10.48550/arxiv.2206.02353

Gao N; Marschall M; Burry J; Watkins S; Salim FD, 2022, Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables, http://dx.doi.org/10.48550/arxiv.2105.06637

Zhao S; Shao W; Chan J; Salim FD, 2022, Measuring disentangled generative spatio-temporal representation, http://dx.doi.org/10.48550/arxiv.2202.04821

Wang Z; Jiang R; Xue H; Salim FD; Song X; Shibasaki R, 2021, Event-Aware Multimodal Mobility Nowcasting, http://dx.doi.org/10.48550/arxiv.2112.08443

Xue H; Salim FD; Ren Y; Clarke CLA, 2021, Translating Human Mobility Forecasting through Natural Language Generation, http://dx.doi.org/10.48550/arxiv.2112.11481

Gao N; Rahaman MS; Shao W; Salim FD, 2021, Investigating the Reliability of Self-report Data in the Wild: The Quest for Ground Truth, http://dx.doi.org/10.48550/arxiv.2107.00389

Rumi SK; Qin KK; Salim FD, 2021, Multi-officer Routing for Patrolling High Risk Areas Jointly Learned from Check-ins, Crime and Incident Response Data, http://dx.doi.org/10.48550/arxiv.2008.00113

Hamdi A; Salim F; Kim DY, 2021, GCCN: Global Context Convolutional Network, http://dx.doi.org/10.48550/arxiv.2110.11664

Hamdi A; Salim F; Kim DY; Chang X, 2021, Signature-Graph Networks, http://dx.doi.org/10.48550/arxiv.2110.11551

Abushaqra FM; Xue H; Ren Y; Salim FD, 2021, PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series, http://dx.doi.org/10.48550/arxiv.2110.00071

Xue H; Salim FD; Ren Y; Oliver N, 2021, MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction, http://dx.doi.org/10.48550/arxiv.2110.01401

Hamdi A; Kim DY; Salim FD, 2021, flexgrid2vec: Learning Efficient Visual Representations Vectors, http://dx.doi.org/10.48550/arxiv.2007.15444

Khaokaew Y; Rahaman MS; White RW; Salim FD, 2021, CoSEM: Contextual and Semantic Embedding for App Usage Prediction, http://dx.doi.org/10.48550/arxiv.2108.11561

Song H; Qin AK; Salim FD, 2021, Evolutionary Ensemble Learning for Multivariate Time Series Prediction, http://dx.doi.org/10.48550/arxiv.2108.09659

Gao N; Xue H; Shao W; Zhao S; Qin KK; Prabowo A; Rahaman MS; Salim FD, 2021, Generative Adversarial Networks for Spatio-temporal Data: A Survey, http://dx.doi.org/10.48550/arxiv.2008.08903

Rahaman MS; Shao W; Salim FD; Turky A; Song A; Chan J; Jiang J; Bradbrook D, 2021, MoParkeR : Multi-objective Parking Recommendation, http://dx.doi.org/10.48550/arxiv.2106.07384

Xue H; Salim FD, 2021, Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification, http://dx.doi.org/10.48550/arxiv.2105.07566

Shao W; Prabowo A; Zhao S; Koniusz P; Salim FD, 2021, Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map, http://dx.doi.org/10.48550/arxiv.2105.08969

Li A; Guo J; Yang H; Salim FD; Chen Y, 2021, DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones, http://dx.doi.org/10.48550/arxiv.1909.04126

Hamdi A; Shaban K; Erradi A; Mohamed A; Rumi SK; Salim F, 2021, Spatiotemporal Data Mining: A Survey on Challenges and Open Problems, http://dx.doi.org/10.48550/arxiv.2103.17128

Hamdi A; Salim FD; Kim DY; Neiat AG; Bouguettaya A, 2021, Drone-as-a-Service Composition Under Uncertainty, http://dx.doi.org/10.48550/arxiv.2103.06513

Xue H; Salim FD, 2021, TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting, http://dx.doi.org/10.48550/arxiv.2011.05554

Deldari S; Smith DV; Xue H; Salim FD, 2021, Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding, http://dx.doi.org/10.48550/arxiv.2011.14097

Shao W; Zhao S; Zhang Z; Wang S; Rahaman MS; Song A; Salim FD, 2021, FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing, http://dx.doi.org/10.48550/arxiv.2007.08551

Bedogni L; Rumi SK; Salim F, 2020, Modelling Memory for Individual Re-identification in Decentralised Mobile Contact Tracing Applications, http://dx.doi.org/10.48550/arxiv.2010.05514

Gao N; Shao W; Rahaman MS; Zhai J; David K; Salim FD, 2020, Transfer Learning for Thermal Comfort Prediction in Multiple Cities, http://dx.doi.org/10.48550/arxiv.2004.14382

Kaur M; Salim FD; Ren Y; Chan J; Tomko M; Sanderson M, 2020, Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors, http://dx.doi.org/10.48550/arxiv.2008.11400

Rumi SK; Salim FD, 2020, Modelling Regional Crime Risk using Directed Graph of Check-ins, http://dx.doi.org/10.48550/arxiv.1908.02570

Rahaman MS; Kudo S; Rawling T; Ren Y; Salim FD, 2020, Seating preference analysis for hybrid workplaces, http://dx.doi.org/10.48550/arxiv.2007.15807


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