By Professor Flora Salim

Preprints

Xue H; Salim FD; Ren Y; Oliver N, 2021, MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction, , http://arxiv.org/abs/2110.01401v1

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://arxiv.org/abs/2108.09659v1

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://arxiv.org/abs/2107.00389v2

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

Anderson C; Heinisch JS; Deldari S; Salim FD; Ohly S; David K; Pejovic V, 2021, Towards Social Role-Based Interruptibility Management, , http://dx.doi.org/10.1109/MPRV.2022.3229905

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/10.1016/j.neucom.2021.04.136

Xue H; Salim FD, 2021, Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification, , http://dx.doi.org/10.1145/3447548.3467263

Gao N; Marschall M; Burry J; Watkins S; Salim FD, 2021, Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables, , http://arxiv.org/abs/2105.06637v3

Hamdi A; Shaban K; Erradi A; Mohamed A; Rumi SK; Salim F, 2021, Spatiotemporal Data Mining: A Survey on Challenges and Open Problems, , http://arxiv.org/abs/2103.17128v1

Hamdi A; Salim FD; Kim DY; Neiat AG; Bouguettaya A, 2021, Drone-as-a-Service Composition Under Uncertainty, , http://arxiv.org/abs/2103.06513v1

Deldari S; Smith DV; Xue H; Salim FD, 2020, Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding, , http://dx.doi.org/10.1145/3442381.3449903

Xue H; Salim FD, 2020, TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting, , http://dx.doi.org/10.48550/arxiv.2011.05554

Bedogni L; Rumi SK; Salim F, 2020, Modelling Memory for Individual Re-identification in Decentralised Mobile Contact Tracing Applications, , http://arxiv.org/abs/2010.05514v2

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/10.1145/3393692

Gao N; Xue H; Shao W; Zhao S; Qin KK; Prabowo A; Rahaman MS; Salim FD, 2020, Generative Adversarial Networks for Spatio-temporal Data: A Survey, , http://dx.doi.org/10.1145/3474838

Rumi SK; Qin KK; Salim FD, 2020, 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

Rahaman MS; Kudo S; Rawling T; Ren Y; Salim FD, 2020, Seating preference analysis for hybrid workplaces, , http://arxiv.org/abs/2007.15807v1

Hamdi A; Kim DY; Salim FD, 2020, flexgrid2vec: Learning Efficient Visual Representations Vectors, , http://arxiv.org/abs/2007.15444v6

Qin KK; Salim FD; Ren Y; Shao W; Heimann M; Koutra D, 2020, G-CREWE: Graph CompREssion With Embedding for Network Alignment, , http://dx.doi.org/10.1145/3340531.3411924

Saeed A; Salim FD; Ozcelebi T; Lukkien J, 2020, Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence, , http://dx.doi.org/10.1109/JIOT.2020.3009358

Deldari S; Smith DV; Sadri A; Salim FD, 2020, ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data, , http://dx.doi.org/10.1145/3411832

Nolan S; Rumi SK; Anderson C; David K; Salim FD, 2020, Exploring the Impact of COVID-19 Lockdown on Social Roles and Emotions while Working from Home, , http://arxiv.org/abs/2007.12353v1

Shao W; Zhao S; Zhang Z; Wang S; Rahaman MS; Song A; Salim FD, 2020, FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing, , http://arxiv.org/abs/2007.08551v2

Gao N; Shao W; Rahaman MS; Salim FD, 2020, n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild, , http://arxiv.org/abs/2007.04831v4

Rahaman MS; Liono J; Ren Y; Chan J; Kudo S; Rawling T; Salim FD, 2020, An Ambient-Physical System to Infer Concentration in Open-plan Workplace, , http://dx.doi.org/10.48550/arxiv.2005.13535

Hamdi A; Salim F; Kim DY, 2020, DroTrack: High-speed Drone-based Object Tracking Under Uncertainty, , http://arxiv.org/abs/2005.00828v1

Gao N; Shao W; Rahaman MS; Zhai J; David K; Salim FD, 2020, Transfer Learning for Thermal Comfort Prediction in Multiple Cities, , http://arxiv.org/abs/2004.14382v3

Wang X; Salim FD; Ren Y; Koniusz P, 2020, Relation Embedding for Personalised POI Recommendation, , http://dx.doi.org/10.1007/978-3-030-47426-3_5

Shao W; Prabowo A; Zhao S; Tan S; Konuiusz P; Chan J; Hei X; Feest B; Salim FD, 2019, Flight Delay Prediction using Airport Situational Awareness Map, , http://arxiv.org/abs/1911.01605v1

Prabowo A; Koniusz P; Shao W; Salim FD, 2019, COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference, , http://dx.doi.org/10.1145/3360322.3360853

Li A; Guo J; Yang H; Salim FD; Chen Y, 2019, DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones, , http://dx.doi.org/10.1145/3450268.3453519

Rumi SK; Salim FD, 2019, Modelling Regional Crime Risk using Directed Graph of Check-ins, , http://dx.doi.org/10.48550/arxiv.1908.02570

Gao N; Shao W; Salim FD, 2019, Predicting Personality Traits from Physical Activity Intensity, , http://dx.doi.org/10.48550/arxiv.1906.07864

Shao W; Salim FD; Chan J; Morrison S; Zambetta F, 2019, Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network, , http://dx.doi.org/10.48550/arxiv.1903.03348

Sarker IH; Salim FD, 2018, Mining User Behavioral Rules from Smartphone Data through Association Analysis, , http://dx.doi.org/10.48550/arxiv.1804.01379

Arief-Ang IB; Salim FD; Hamilton M, 2017, CD-HOC: Indoor Human Occupancy Counting using Carbon Dioxide Sensor Data, , http://dx.doi.org/10.48550/arxiv.1706.05286

Ren Y; Tomko M; Salim F; Ong K; Sanderson M, 2015, Analyzing Web Behavior in Indoor Retail Spaces, , http://dx.doi.org/10.1002/asi.23587

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