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ORCIDFlora D. Salim
Flora Dilys Salim
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- affiliation: RMIT University, School of Computer Science and IT, Melbourne, VIC, Australia
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2020 – today
- 2023
[i61]Kyle Kai Qin, Yongli Ren, Wei Shao, Brennan Lake, Filippo Privitera, Flora D. Salim:
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction. CoRR abs/2301.04482 (2023)- [i60]Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim:
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. CoRR abs/2302.09956 (2023) - 2022
- [j47]Ali Hamdi
, Khaled B. Shaban, Abdelkarim Erradi, Amr Mohamed, Shakila Khan Rumi, Flora D. Salim:
Spatiotemporal data mining: a survey on challenges and open problems. Artif. Intell. Rev. 55(2): 1441-1488 (2022) - [j46]Luca Bedogni, Federico Montori, Flora D. Salim:
Location Contact Tracing: Penetration, Privacy, Position, and Performance. Digit. Gov. Res. Pract. 3(3): 18:1-18:13 (2022) - [j45]Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman, Jonathan Liono, Johanne R. Trippas, Damiano Spina, Peter Bailey, Nicholas J. Belkin, Paul N. Bennett, Yongli Ren, Mark Sanderson, Falk Scholer, Ryen W. White, Flora D. Salim:
Imagining future digital assistants at work: A study of task management needs. Int. J. Hum. Comput. Stud. 168: 102905 (2022) - [j44]Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim:
Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map. Neurocomputing 472: 280-293 (2022) - [j43]Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim:
COCOA: Cross Modality Contrastive Learning for Sensor Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 108:1-108:28 (2022) - [j42]Nan Gao, Mohammad Saiedur Rahaman, Wei Shao, Kaixin Ji, Flora D. Salim:
Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 115:1-115:23 (2022) - [j41]Yufan Kang, Mohammad Saiedur Rahaman, Yongli Ren, Mark Sanderson, Ryen W. White, Flora D. Salim:
App usage on-the-move: Context- and commute-aware next app prediction. Pervasive Mob. Comput. 87: 101704 (2022) - [j40]Matt Duckham, Jelena Gabela, Allison Kealy, Mustafizur Khan, Jonathan Legg, Bill Moran, Shakila Khan Rumi, Flora D. Salim, Shaila Sharmeen, Yaguang Tao, Kerry Trentelman, Maria Vasardani:
Explainable spatiotemporal reasoning for geospatial intelligence applications. Trans. GIS 26(6): 2455-2479 (2022) - [j39]Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim:
Generative Adversarial Networks for Spatio-temporal Data: A Survey. ACM Trans. Intell. Syst. Technol. 13(2): 22:1-22:25 (2022) - [j38]Ali Hamdi, Flora D. Salim, Du Yong Kim, Azadeh Ghari Neiat, Athman Bouguettaya:
Drone-as-a-Service Composition Under Uncertainty. IEEE Trans. Serv. Comput. 15(5): 2685-2698 (2022) - [c90]Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki:
Event-Aware Multimodal Mobility Nowcasting. AAAI 2022: 4228-4236 - [c89]Yuxi Liu, Zhenhao Zhang, Antonio Jimeno-Yepes, Flora D. Salim:
Modeling long-term dependencies and short-term correlations in patient journey data with temporal attention networks for health prediction. BCB 2022: 16:1-16:10 - [c88]Yuxi Liu, Shaowen Qin, Antonio Jimeno-Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim:
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. BIBM 2022: 1658-1663 - [c87]Hao Xue, Bhanu Prakash Voutharoja, Flora D. Salim:
Leveraging language foundation models for human mobility forecasting. SIGSPATIAL/GIS 2022: 90:1-90:9 - [c86]Wei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao, Hamid Menouar, Zhaofeng Zhang, Junshan Zhang, Flora D. Salim:
Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention. IJCAI 2022: 2225-2232 - [c85]Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim:
Measuring disentangled generative spatio-temporal representation. SDM 2022: 522-530 - [c84]Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke:
Translating Human Mobility Forecasting through Natural Language Generation. WSDM 2022: 1224-1233 - [i59]Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim:
Measuring disentangled generative spatio-temporal representation. CoRR abs/2202.04821 (2022) - [i58]Kacper Sokol, Meelis Kull, Jeffrey Chan, Flora Dilys Salim:
Ethical and Fairness Implications of Model Multiplicity. CoRR abs/2203.07139 (2022) - [i57]Wei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao, Hamid Menouar, Zhaofeng Zhang, Junshan Zhang, Flora D. Salim:
Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention. CoRR abs/2204.11008 (2022) - [i56]Shohreh Deldari, Hao Xue, Aaqib Saeed, Jiayuan He, Daniel V. Smith, Flora D. Salim:
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data. CoRR abs/2206.02353 (2022) - [i55]Judith S. Heinisch, Nan Gao, Christoph Anderson, Shohreh Deldari, Klaus David, Flora D. Salim:
Investigating the Effects of Mood & Usage Behaviour on Notification Response Time. CoRR abs/2207.03405 (2022) - [i54]Edward Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora D. Salim:
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies. CoRR abs/2207.04581 (2022) - [i53]Yuxi Liu, Zhenhao Zhang, Antonio Jimeno-Yepes, Flora D. Salim:
Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction. CoRR abs/2207.06414 (2022) - [i52]Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim:
COCOA: Cross Modality Contrastive Learning for Sensor Data. CoRR abs/2208.00467 (2022) - [i51]Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman, Jonathan Liono, Johanne R. Trippas, Damiano Spina, Nicholas J. Belkin, Peter Bailey, Paul N. Bennett, Yongli Ren, Mark Sanderson, Falk Scholer, Ryen W. White, Flora D. Salim:
Imagining Future Digital Assistants at Work: A Study of Task Management Needs. CoRR abs/2208.03443 (2022) - [i50]Hao Xue, Bhanu Prakash Voutharoja, Flora D. Salim:
Leveraging Language Foundation Models for Human Mobility Forecasting. CoRR abs/2209.05479 (2022) - [i49]Hao Xue, Flora D. Salim:
Prompt-Based Time Series Forecasting: A New Task and Dataset. CoRR abs/2210.08964 (2022) - [i48]Dilini Rajapaksha, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Mukesh Prasad, Mahendra Samarawickrama:
Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019-2020 Australian Bushfires Case Study. CoRR abs/2210.09034 (2022) - [i47]Yuxi Liu, Shaowen Qin, Antonio Jimeno-Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim:
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. CoRR abs/2211.06045 (2022) - [i46]Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series. CoRR abs/2212.03560 (2022) - [i45]Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Gang Li:
Detecting Change Intervals with Isolation Distributional Kernel. CoRR abs/2212.14630 (2022) - [i44]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Mobility Data Science (Dagstuhl Seminar 22021). Dagstuhl Reports 12(1): 1-34 (2022) - 2021
- [j37]Luca Bedogni, Shakila Khan Rumi, Flora D. Salim:
Modelling Memory for Individual Re-identification in Decentralised Mobile Contact Tracing Applications. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 4:1-4:21 (2021) - [j36]Aaqib Saeed, Flora D. Salim, Tanir Ozcelebi, Johan Lukkien:
Federated Self-Supervised Learning of Multisensor Representations for Embedded Intelligence. IEEE Internet Things J. 8(2): 1030-1040 (2021) - [j35]Chao Chen, Flora D. Salim, Luís Moreira-Matias, Sha Zhao:
Special issue on vehicles as sensing devices: from observations to actionable insights. J. Ambient Intell. Humaniz. Comput. 12(1): 147-149 (2021) - [c83]Yonchanok Khaokaew, Mohammad Saiedur Rahaman, Ryen W. White, Flora D. Salim:
CoSEM: Contextual and Semantic Embedding for App Usage Prediction. CIKM 2021: 3137-3141 - [c82]Nan Gao, Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim:
Investigating the Reliability of Self-report Data in the Wild: The Quest for Ground Truth. UbiComp/ISWC Adjunct 2021: 237-242 - [c81]Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. ICDM 2021: 976-981 - [c80]Ang Li, Jiayi Guo, Huanrui Yang, Flora D. Salim, Yiran Chen:
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones. IoTDI 2021: 28-39 - [c79]Hao Xue, Flora D. Salim:
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification. KDD 2021: 1944-1952 - [c78]Mingjie Li, Wenjia Cai, Rui Liu, Yuetian Weng, Xiaoyun Zhao, Cong Wang, Xin Chen, Zhong Liu, Caineng Pan, Mengke Li, Yingfeng Zheng, Yizhi Liu, Flora D. Salim, Karin Verspoor, Xiaodan Liang, Xiaojun Chang:
FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark. NeurIPS Datasets and Benchmarks 2021 - [c77]Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver:
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. NeurIPS 2021: 30380-30391 - [c76]Hao Xue, Flora D. Salim:
TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting. PAKDD (1) 2021: 741-753 - [c75]Wei Shao, Sichen Zhao, Zhen Zhang, Shiyu Wang, Mohammad Saiedur Rahaman, Andy Song, Flora D. Salim:
FADACS: A Few-Shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing. PerCom 2021: 1-10 - [c74]Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim, Ayad Turky, Andy Song, Jeffrey Chan, Junliang Jiang, Doug Bradbrook:
MoParkeR : Multi-objective Parking Recommendation. SSDBM 2021: 237-242 - [c73]Flora D. Salim:
Learning Spatio-Temporal Behavioural Representations for Urban Activity Forecasting. WWW (Companion Volume) 2021: 347-348 - [c72]Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim:
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding. WWW 2021: 3124-3135 - [i43]Ali Hamdi, Flora D. Salim, Du Yong Kim, Azadeh Ghari Neiat, Athman Bouguettaya:
Drone-as-a-Service Composition Under Uncertainty. CoRR abs/2103.06513 (2021) - [i42]Ali Hamdi, Khaled B. Shaban, Abdelkarim Erradi, Amr Mohamed, Shakila Khan Rumi, Flora D. Salim:
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems. CoRR abs/2103.17128 (2021) - [i41]Nan Gao, Max Marschall, Jane Burry, Simon Watkins, Flora D. Salim:
Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables. CoRR abs/2105.06637 (2021) - [i40]Hao Xue, Flora D. Salim:
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification. CoRR abs/2105.07566 (2021) - [i39]Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim:
Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map. CoRR abs/2105.08969 (2021) - [i38]Christoph Anderson, Judith Simone Heinisch, Shohreh Deldari, Flora D. Salim, Sandra Ohly, Klaus David, Veljko Pejovic:
Towards Social Role-Based Interruptibility Management. CoRR abs/2106.04265 (2021) - [i37]Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim, Ayad Turky, Andy Song, Jeffrey Chan, Junliang Jiang, Doug Bradbrook:
MoParkeR : Multi-objective Parking Recommendation. CoRR abs/2106.07384 (2021) - [i36]Nan Gao, Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim:
Investigating the Reliability of Self-report Survey in the Wild: The Quest for Ground Truth. CoRR abs/2107.00389 (2021) - [i35]Hui Song, A. Kai Qin, Flora D. Salim:
Evolutionary Ensemble Learning for Multivariate Time Series Prediction. CoRR abs/2108.09659 (2021) - [i34]Yonchanok Khaokaew, Mohammad Saiedur Rahaman, Ryen W. White, Flora D. Salim:
CoSEM: Contextual and Semantic Embedding for App Usage Prediction. CoRR abs/2108.11561 (2021) - [i33]Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. CoRR abs/2110.00071 (2021) - [i32]Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver:
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. CoRR abs/2110.01401 (2021) - [i31]Ali Hamdi, Flora D. Salim, Du Yong Kim, Xiaojun Chang:
Signature-Graph Networks. CoRR abs/2110.11551 (2021) - [i30]Ali Hamdi, Flora D. Salim, Du Yong Kim:
GCCN: Global Context Convolutional Network. CoRR abs/2110.11664 (2021) - [i29]Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki:
Event-Aware Multimodal Mobility Nowcasting. CoRR abs/2112.08443 (2021) - [i28]Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke:
Translating Human Mobility Forecasting through Natural Language Generation. CoRR abs/2112.11481 (2021) - [i27]Nan Gao, Mohammad Saiedur Rahaman, Wei Shao, Kaixin Ji, Flora D. Salim:
Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses. CoRR abs/2112.12342 (2021) - 2020
- [j34]Shohreh Deldari, Daniel V. Smith, Amin Sadri, Flora D. Salim:
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for Processing Heterogeneous Sensor Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 77:1-77:24 (2020) - [j33]Nan Gao, Wei Shao, Mohammad Saiedur Rahaman, Flora D. Salim:
n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 79:1-79:26 (2020) - [j32]Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim:
An Ambient-Physical System to Infer Concentration in Open-Plan Workplace. IEEE Internet Things J. 7(12): 11576-11586 (2020) - [j31]Masoomeh Zameni, Amin Sadri, Zahra Ghafoori, Masud Moshtaghi, Flora D. Salim, Christopher Leckie, Kotagiri Ramamohanarao:
Unsupervised online change point detection in high-dimensional time series. Knowl. Inf. Syst. 62(2): 719-750 (2020) - [j30]Hui Liu, Huan Liu, Xin Wang, Wei Shao, Xiao Wang, Junzhao Du, Jonathan Liono, Flora D. Salim:
SmartMeeting: An Novel Mobile Voice Meeting Minutes Generation and Analysis System. Mob. Networks Appl. 25(2): 521-536 (2020) - [j29]Kyle Kai Qin, Wei Shao, Yongli Ren, Jeffrey Chan, Flora D. Salim:
Solving multiple travelling officers problem with population-based optimization algorithms. Neural Comput. Appl. 32(16): 12033-12059 (2020) - [j28]Hui Song, A. Kai Qin, Flora D. Salim:
Evolutionary model construction for electricity consumption prediction. Neural Comput. Appl. 32(16): 12155-12172 (2020) - [j27]Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson:
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. ACM Trans. Sens. Networks 16(3): 28:1-28:25 (2020) - [j26]Wei Shao, Siyu Tan, Sichen Zhao, Kyle Kai Qin, Xinhong Hei, Jeffrey Chan, Flora D. Salim:
Incorporating LSTM Auto-Encoders in Optimizations to Solve Parking Officer Patrolling Problem. ACM Trans. Spatial Algorithms Syst. 6(3): 20:1-20:21 (2020) - [c71]Kyle Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra:
G-CREWE: Graph CompREssion With Embedding for Network Alignment. CIKM 2020: 1255-1264 - [c70]Shakila Khan Rumi, Flora D. Salim:
Modelling Regional Crime Risk using Directed Graph of Check-ins. CIKM 2020: 2201-2204 - [c69]Ali Hamdi, Flora D. Salim, Du Yong Kim:
DroTrack: High-speed Drone-based Object Tracking Under Uncertainty. FUZZ-IEEE 2020: 1-8 - [c68]Ayad Turky, Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim, Doug Bradbrook, Andy Song:
Deep Learning Assisted Memetic Algorithm for Shortest Route Problems. ICCS (5) 2020: 109-121 - [c67]Shakila Khan Rumi, Wei Shao, Flora D. Salim:
Realtime Predictive Patrolling and Routing with Mobility and Emergency Calls Data. ICWSM 2020: 964-968 - [c66]Wei Shao, Jeffrey Chan, Flora D. Salim:
Approximating Optimisation Solutions for the Travelling Officer Problem with Neural Networks. IJCNN 2020: 1-8 - [c65]Jonathan Liono, Mohammad Saiedur Rahaman, Flora D. Salim, Yongli Ren, Damiano Spina, Falk Scholer, Johanne R. Trippas, Mark Sanderson, Paul N. Bennett, Ryen W. White:
Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life. ICMR 2020: 472-478 - [c64]Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz:
Relation Embedding for Personalised Translation-Based POI Recommendation. PAKDD (1) 2020: 53-64 - [c63]Jens Hjort Schwee, Fisayo Caleb Sangogboye, Flora D. Salim, Mikkel Baun Kjærgaard:
Tool-chain for supporting Privacy Risk Assessments. BuildSys@SenSys 2020: 140-149 - [e2]Monica Tentori, Nadir Weibel, Kristof Van Laerhoven, Gregory D. Abowd, Flora D. Salim:
UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, Virtual Event, Mexico, September 12-17, 2020. ACM 2020, ISBN 978-1-4503-8076-8 [contents] - [i26]Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz:
Relation Embedding for Personalised POI Recommendation. CoRR abs/2002.03461 (2020) - [i25]Nan Gao, Wei Shao, Mohammad Saiedur Rahaman, Jun Zhai, Klaus David, Flora D. Salim:
Transfer Learning for Thermal Comfort Prediction in Multiple Cities. CoRR abs/2004.14382 (2020) - [i24]Ali Hamdi, Flora D. Salim, Du Yong Kim:
DroTrack: High-speed Drone-based Object Tracking Under Uncertainty. CoRR abs/2005.00828 (2020) - [i23]Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim:
An Ambient-Physical System to Infer Concentration in Open-plan Workplace. CoRR abs/2005.13535 (2020) - [i22]Nan Gao, Wei Shao, Mohammad Saiedur Rahaman, Flora D. Salim:
n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild. CoRR abs/2007.04831 (2020) - [i21]Wei Shao, Sichen Zhao, Zhen Zhang, Shiyu Wang, Mohammad Saiedur Rahaman, Andy Song, Flora Dilys Salim:
FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing. CoRR abs/2007.08551 (2020) - [i20]Sam Nolan, Shakila Khan Rumi, Christoph Anderson, Klaus David, Flora D. Salim:
Exploring the Impact of COVID-19 Lockdown on Social Roles and Emotions while Working from Home. CoRR abs/2007.12353 (2020) - [i19]Aaqib Saeed, Flora D. Salim, Tanir Özçelebi, Johan Lukkien:
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence. CoRR abs/2007.13018 (2020) - [i18]Ali Hamdi, Du Yong Kim, Flora D. Salim:
grid2vec: Learning Efficient Visual Representations via Flexible Grid-Graphs. CoRR abs/2007.15444 (2020) - [i17]Mohammad Saiedur Rahaman, Shaw Kudo, Tim Rawling, Yongli Ren, Flora D. Salim:
Seating preference analysis for hybrid workplaces. CoRR abs/2007.15807 (2020) - [i16]Kyle Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra:
G-CREWE: Graph CompREssion With Embedding for Network Alignment. CoRR abs/2007.16208 (2020) - [i15]Shakila Khan Rumi, Kyle Kai Qin, Flora D. Salim:
Multi-officer Routing for Patrolling High Risk Areas Jointly Learned from Check-ins, Crime and Incident Response Data. CoRR abs/2008.00113 (2020) - [i14]Shohreh Deldari, Daniel V. Smith, Amin Sadri, Flora D. Salim:
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data. CoRR abs/2008.03230 (2020) - [i13]Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim:
Generative Adversarial Networks for Spatio-temporal Data: A Survey. CoRR abs/2008.08903 (2020) - [i12]Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson:
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. CoRR abs/2008.11400 (2020) - [i11]Luca Bedogni, Shakila Khan Rumi, Flora D. Salim:
Modelling Memory for Individual Re-identification in Decentralised Mobile Contact Tracing Applications. CoRR abs/2010.05514 (2020) - [i10]Hao Xue, Flora D. Salim:
TRAILER: Transformer-based Time-wise Long Term Relation Modeling for Citywide Traffic Flow Prediction. CoRR abs/2011.05554 (2020) - [i9]Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim:
Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding. CoRR abs/2011.14097 (2020)
2010 – 2019
- 2019
- [j25]Nan Gao, Wei Shao, Flora D. Salim:
Predicting Personality Traits From Physical Activity Intensity. Computer 52(7): 47-56 (2019) - [j24]Roksana Jahan, Tanzima Hashem, Flora D. Salim, Sukarna Barua:
Efficient trip scheduling algorithms for groups. Inf. Syst. 84: 145-173 (2019) - [j23]Jonathan Liono, Prem Prakash Jayaraman, A. Kai Qin, Thuong Nguyen, Flora D. Salim:
QDaS: Quality driven data summarisation for effective storage management in Internet of Things. J. Parallel Distributed Comput. 127: 196-208 (2019) - [c62]Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Hassan Awadallah, Peter Bailey, Paul N. Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson:
Learning About Work Tasks to Inform Intelligent Assistant Design. CHIIR 2019: 5-14 - [c61]Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim:
Flight Delay Prediction using Airport Situational Awareness Map. SIGSPATIAL/GIS 2019: 432-435 - [c60]Abdur Rahim Mohammad Forkan, Flora D. Salim, Russell Conduit, Paul Beckett, Stephen R. Robinson:
TIARA: technology integrated apnea respiration analyser. UbiComp 2019: 169-171 - [c59]Jonathan Liono, Flora D. Salim, Niels van Berkel, Vassilis Kostakos, A. Kai Qin:
Improving Experience Sampling with Multi-view User-driven Annotation Prediction. PerCom 2019: 1-11 - [c58]Wei Shao, Flora D. Salim, Jeffrey Chan, Kyle Kai Qin, Jiaman Ma, Bradley Feest:
OnlineAirTrajClus: An Online Aircraft Trajectory Clustering for Tarmac Situation Awareness. PerCom 2019: 192-201 - [c57]Mohammad Saiedur Rahaman, Harsh Pare, Jonathan Liono, Flora D. Salim, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Alex Sinickas:
OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace. PerCom Workshops 2019: 415-418 - [c56]Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim:
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. BuildSys@SenSys 2019: 21-30 - [r1]Mohammad Saiedur Rahaman, Margaret Hamilton, Flora D. Salim:
Using Big Spatial Data for Planning User Mobility. Encyclopedia of Big Data Technologies 2019 - [i8]Wei Shao, Flora D. Salim, Jeffrey Chan, Sean Morrison, Fabio Zambetta:
Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network. CoRR abs/1903.03348 (2019) - [i7]Nan Gao, Wei Shao, Flora D. Salim:
Predicting Personality Traits from Physical Activity Intensity. CoRR abs/1906.07864 (20