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ORCIDFlora D. Salim
Flora Dilys Salim – Flora Dylis Salim – Flora Salim
Person information
- affiliation: University of New South Wales (UNSW), School of Computer Science and Engineering, Sydney, Australia
- affiliation (former): RMIT University, School of Computer Science and IT, Melbourne, VIC, Australia
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2020 – today
- 2025
[j68]Hao Xue
, Ming Jin, Shirui Pan, Flora Salim:
Transforming Urban Dynamics: Harnessing Large Language Models for Smarter Mobility. IEEE Intell. Syst. 40(2): 5-7 (2025)- [j67]Hiruni Nuwanthika Kegalle, Danula Hettiachchi, Jeffrey Chan, Mark Sanderson, Flora D. Salim:
Watch Out! E-scooter Coming Through!: Multimodal Sensing of Mixed Traffic Use and Conflicts Through Riders' Ego-centric Views. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 9(1): 8:1-8:23 (2025) - [j66]Ming Jin, Guangsi Shi, Yuan-Fang Li, Bo Xiong, Tian Zhou, Flora D. Salim, Liang Zhao, Lingfei Wu, Qingsong Wen, Shirui Pan:
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. 47(6): 4926-4939 (2025) - [c138]Shijing Chen, Mohamed Reda Bouadjenek, Usman Naseem, Basem Suleiman, Shoaib Jameel, Flora D. Salim, Hakim Hacid, Imran Razzak:
Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification. COLING 2025: 6244-6254 - [i141]Shijing Chen, Mohamed Reda Bouadjenek, Shoaib Jameel, Usman Naseem, Basem Suleiman, Flora D. Salim, Hakim Hacid, Imran Razzak:
Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification. CoRR abs/2501.06827 (2025) - [i140]Qingwen Zeng, Hanlin Xu, Nanjun Xu, Flora D. Salim, Junbin Gao, Huaming Chen:
Engineering Carbon Credits Towards A Responsible FinTech Era: The Practices, Implications, and Future. CoRR abs/2501.14750 (2025) - [i139]Nan Gao, Yibin Liu, Xin Tang, Yanyan Liu, Chun Yu, Yun Huang, Yuntao Wang, Flora D. Salim, Xuhai Orson Xu, Jun Wei, Yuanchun Shi:
The Homework Wars: Exploring Emotions, Behaviours, and Conflicts in Parent-Child Homework Interactions. CoRR abs/2502.01325 (2025) - [i138]Yuncheng Hua, Lizhen Qu, Zhuang Li, Hao Xue, Flora D. Salim, Gholamreza Haffari:
RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars. CoRR abs/2502.11681 (2025) - [i137]Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora D. Salim, Huaming Chen:
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN. CoRR abs/2502.12207 (2025) - [i136]Yuanyuan Xu, Hanchen Wang, Wenjie Zhang, Lexing Xie, Yin Chen, Flora Salim, Ying Zhang, Justin Gooding, Toby Walsh:
AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models. CoRR abs/2502.13626 (2025) - [i135]Mehdi Jafari, Devin Yuncheng Hua, Hao Xue, Flora Salim:
Enhancing Conversational Agents with Theory of Mind: Aligning Beliefs, Desires, and Intentions for Human-Like Interaction. CoRR abs/2502.14171 (2025) - [i134]Hiruni Nuwanthika Kegalle, Danula Hettiachchi, Jeffrey Chan, Mark Sanderson, Flora D. Salim:
Watch Out E-scooter Coming Through: Multimodal Sensing of Mixed Traffic Use and Conflicts Through Riders Ego-centric Views. CoRR abs/2502.16755 (2025) - [i133]Chenlu Ju, Jiaxin Liu, Shobhit Sinha, Hao Xue, Flora Salim:
TrajLLM: A Modular LLM-Enhanced Agent-Based Framework for Realistic Human Trajectory Simulation. CoRR abs/2502.18712 (2025) - [i132]Baiyu Chen, Wilson Wongso, Zechen Li, Yonchanok Khaokaew, Hao Xue, Flora D. Salim:
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition. CoRR abs/2503.07259 (2025) - [i131]Duke Nguyen, Aditya Joshi, Flora D. Salim:
Harnessing Test-time Adaptation for NLU tasks Involving Dialects of English. CoRR abs/2503.12858 (2025) - [i130]Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong:
Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. CoRR abs/2503.13502 (2025) - [i129]Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim:
KG-IRAG: A Knowledge Graph-Based Iterative Retrieval-Augmented Generation Framework for Temporal Reasoning. CoRR abs/2503.14234 (2025) - [i128]Ghadir Alselwi, Hao Xue, Shoaib Jameel, Basem Suleiman, Flora D. Salim, Imran Razzak:
Long Context Modeling with Ranked Memory-Augmented Retrieval. CoRR abs/2503.14800 (2025) - [i127]Matthew Low, Arian Prabowo, Hao Xue, Flora Salim:
Embedding spatial context in urban traffic forecasting with contrastive pre-training. CoRR abs/2503.14980 (2025) - [i126]Shijing Chen, Shoaib Jameel, Mohamed Reda Bouadjenek, Feilong Tang, Usman Naseem, Basem Suleiman, Hakim Hacid, Flora D. Salim, Imran Razzak:
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer. CoRR abs/2503.15566 (2025) - [i125]Maarten de Rijke, Bart Van den Hurk, Flora Salim, Alaa Al Khourdajie, Nan Bai, Renato Calzone, Declan Curran, Getnet Demil, Lesley Frew, Noah Gießing, Mukesh Kumar Gupta, Maria Heuss, Sanaa Hobeichi, David Huard, Jingwei Kang, Ana Lucic, Tanwi Mallick, Shruti Nath, Andrew Okem, Barbara Pernici, Thilina Rajapakse, Hira Saleem, Harry Scells, Nicole Schneider, Damiano Spina, Yuanyuan Tian, Edmund Totin, Andrew Trotman, Ramamurthy Valavandan, Dereje Workneh, Yangxinyu Xie:
Information Retrieval for Climate Impact. CoRR abs/2504.01162 (2025) - [i124]Yonchanok Khaokaew, Flora D. Salim, Andreas Züfle, Hao Xue, Taylor Anderson, C. Raina MacIntyre, Matthew Scotch, David J. Heslop:
Evaluating the Bias in LLMs for Surveying Opinion and Decision Making in Healthcare. CoRR abs/2504.08260 (2025) - [i123]Lihuan Li, Du Yin, Hao Xue, David Lillo-Trynes, Flora Salim:
Optimizing Electric Vehicle Charging Station Locations: A Data-driven System with Multi-source Fusion. CoRR abs/2504.13517 (2025) - 2024
- [j65]Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki, Wei Hu, Shaowen Wang:
Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events. Artif. Intell. 335: 104120 (2024) - [j64]Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim:
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT). Data Min. Knowl. Discov. 38(3): 913-937 (2024) - [j63]Yonchanok Khaokaew, Hao Xue, Flora D. Salim:
MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 10:1-10:25 (2024) - [j62]Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li:
Detecting Change Intervals with Isolation Distributional Kernel. J. Artif. Intell. Res. 79: 273-306 (2024) - [j61]Wei Shao, Yu Zhang, Pengfei Xiao, Kyle Kai Qin, Mohammad Saiedur Rahaman, Jeffrey Chan, Bin Guo, Andy Song, Flora D. Salim:
Transferrable contextual feature clusters for parking occupancy prediction. Pervasive Mob. Comput. 97: 101831 (2024) - [j60]Hao Xue, Flora D. Salim:
PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 36(11): 6851-6864 (2024) - [j59]Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series. Trans. Mach. Learn. Res. 2024 (2024) - [j58]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-Seok Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Cyrus Shahabi, Bettina Speckmann, Egemen Tanin, Xu Teng, 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: Perspectives and Challenges. ACM Trans. Spatial Algorithms Syst. 10(2): 10 (2024) - [j57]Andreas Züfle, Flora D. Salim, Taylor Anderson, Matthew Scotch, Li Xiong, Kacper Sokol, Hao Xue, Ruochen Kong, David J. Heslop, Hye-Young Paik, C. Raina MacIntyre:
Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread. ACM Trans. Spatial Algorithms Syst. 10(2): 17 (2024) - [j56]Renhe Jiang, Flora D. Salim, Mohamed F. Mokbel:
Introduction to the Special Issue on Machine Learning and Location Data. ACM Trans. Spatial Algorithms Syst. 10(3): 22:1-22:2 (2024) - [j55]Renhe Jiang, Flora D. Salim, Mohamed F. Mokbel:
Introduction to the Special Issue on Machine Learning and Location Data: Part II. ACM Trans. Spatial Algorithms Syst. 10(4): 1-2 (2024) - [c137]Hiruni Kegalle, Danula Hettiachchi, Jeffrey Chan, Flora D. Salim, Mark Sanderson:
E-Scooter Dynamics: Unveiling Rider Behaviours and Interactions with Road Users through Multi-Modal Data Analysis. AHs 2024: 307-310 - [c136]Yan Wang, Humphrey O. Obie, Zhuying Li, Flora D. Salim, John C. Grundy, Florian 'Floyd' Mueller:
GustosonicSense: Towards understanding the design of playful gustosonic eating experiences. CHI 2024: 361:1-361:12 - [c135]Edward Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan:
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness. FAccT 2024: 1559-1578 - [c134]Yufan Kang, Rongsheng Zhang, Wei Shao, Flora D. Salim, Jeffrey Chan:
Promoting Two-sided Fairness in Dynamic Vehicle Routing Problems. GECCO 2024 - [c133]Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim:
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. SIGSPATIAL/GIS 2024: 42-53 - [c132]Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim:
Prompt Mining for Language Models-based Mobility Flow Forecasting. SIGSPATIAL/GIS 2024: 113-122 - [c131]Lihuan Li, Hao Xue, Yang Song, Flora D. Salim:
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation. SIGSPATIAL/GIS 2024: 569-572 - [c130]Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim:
BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics. ICDM (Workshops) 2024: 891-894 - [c129]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Jiang Bian, Antonio Jimeno-Yepes:
Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity Networks. ICHI 2024: 1-10 - [c128]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen, Jiang Bian:
Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk Prediction. ICHI 2024: 123-128 - [c127]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim:
A Multi-Graph Fusion Framework for Patient Representation Learning. ICHI 2024: 222-227 - [c126]Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim:
AttEXplore: Attribution for Explanation with model parameters eXploration. ICLR 2024 - [c125]Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li:
Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint). IJCAI 2024: 8476 - [c124]Julián Jerónimo Bañuelos, José Costa-Requena, Jiayuan He, Flora D. Salim, Stephan Sigg:
On the Challenge of Generating Multivariate Time Series Data from Distributed Sensors in IoT-enabled Scenarios. IoT 2024: 155-159 - [c123]Soundariya Ananthan, Nan Gao, Flora D. Salim:
Understanding Physiological Responses of Students Over Different Courses. ISWC 2024: 104-110 - [c122]Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman, Flora D. Salim:
WorkR: Occupation Inference for Intelligent Task Assistance. ISWC 2024: 118-124 - [c121]Wei Shao, Yufan Kang, Ziyan Peng, Xiao Xiao, Lei Wang, Yuhui Yang, Flora D. Salim:
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning. KDD 2024: 2618-2627 - [c120]Kaixin Ji, Sachin Pathiyan Cherumanal, Johanne R. Trippas, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina:
Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search. MobileHCI (Companion) 2024: 10:1-10:10 - [c119]Shohreh Deldari, Mohammad Goudarzi, Aditya Joshi, Arash Shaghaghi, Simon Finn, Flora D. Salim, Sanjay Jha:
AuditNet: Conversational AI Security Assistant. MobileHCI (Companion) 2024: 22:1-22:4 - [c118]Julián Jerónimo Bañuelos, Stephan Sigg, Jiayuan He, Flora D. Salim, José Costa-Requena:
Generating Multivariate Synthetic Time Series Data for Absent Sensors from Correlated Sources. NetAISys@MobiSys 2024: 19-24 - [c117]Tianqi Tang, Shohreh Deldari, Hao Xue, Celso de Melo, Flora D. Salim:
ViLCo-Bench: VIdeo Language COntinual learning Benchmark. NeurIPS 2024 - [c116]Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim:
Building Timeseries Dataset: Empowering Large-Scale Building Analytics. NeurIPS 2024 - [c115]Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie:
Long-Term Fairness in Ride-Hailing Platform. ECML/PKDD (9) 2024: 223-239 - [c114]Zhenhao Zhang, Yuxi Liu, Jiang Bian, Antonio Jimeno-Yepes, Jun Shen, Fuyi Li, Guodong Long, Flora D. Salim:
Boosting Patient Representation Learning via Graph Contrastive Learning. ECML/PKDD (9) 2024: 335-350 - [c113]Francis Zac dela Cruz, Flora D. Salim, Yonchanok Khaokaew, Jeffrey Chan:
CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework. RecSys 2024: 924-928 - [c112]Kaixin Ji, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina:
Characterizing Information Seeking Processes with Multiple Physiological Signals. SIGIR 2024: 1006-1017 - [c111]Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim:
Large Language Models for Next Point-of-Interest Recommendation. SIGIR 2024: 1463-1472 - [c110]Bart Van den Hurk, Maarten de Rijke, Flora D. Salim:
MANILA24: SIGIR 2024 Workshop on Information Retrieval and Climate Impact. SIGIR 2024: 3044-3046 - [c109]Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur:
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking. WSDM 2024: 152-160 - [c108]Ruiyi Yang, Flora D. Salim, Hao Xue:
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding. WWW 2024: 551-559 - [c107]Shijing Chen, Usman Naseem, Imran Razzak, Flora D. Salim:
Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification. WWW (Companion Volume) 2024: 1864-1871 - [e3]Tilman Dingler, Flora D. Salim, Marion Koelle, Niels van Berkel, Jenny Waycott:
Adjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction, MobileHCI 2024, Melbourne, VIC, Australia, 30 September 2024- 3 October 2024. ACM 2024, ISBN 979-8-4007-0506-9 [contents] - [i122]Ruiyi Yang, Flora D. Salim, Hao Xue:
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding. CoRR abs/2402.12132 (2024) - [i121]Hira Saleem, Flora D. Salim, Cormac Purcell:
Conformer: Embedding Continuous Attention in Vision Transformer for Weather Forecasting. CoRR abs/2402.17966 (2024) - [i120]Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim:
Prompt Mining for Language-based Human Mobility Forecasting. CoRR abs/2403.03544 (2024) - [i119]Yan Wang, Humphrey O. Obie, Zhuying Li, Flora D. Salim, John C. Grundy, Florian 'Floyd' Mueller:
GustosonicSense: Towards understanding the design of playful gustosonic eating experiences. CoRR abs/2403.10851 (2024) - [i118]Han Zhang, Vedant Das Swain, Leijie Wang, Nan Gao, Yilun Sheng, Xuhai Xu, Flora D. Salim, Koustuv Saha, Anind K. Dey, Jennifer Mankoff:
Illuminating the Unseen: Investigating the Context-induced Harms in Behavioral Sensing. CoRR abs/2404.14665 (2024) - [i117]Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim:
Large Language Models for Next Point-of-Interest Recommendation. CoRR abs/2404.17591 (2024) - [i116]Kaixin Ji, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina:
Characterizing Information Seeking Processes with Multiple Physiological Signals. CoRR abs/2405.00322 (2024) - [i115]Kaixin Ji, Sachin Pathiyan Cherumanal, Johanne R. Trippas, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina:
Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search. CoRR abs/2405.12480 (2024) - [i114]Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Stephen White, Flora D. Salim:
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings. CoRR abs/2405.14267 (2024) - [i113]Duke Nguyen, Aditya Joshi, Flora D. Salim:
Spectraformer: A Unified Random Feature Framework for Transformer. CoRR abs/2405.15310 (2024) - [i112]Yufan Kang, Rongsheng Zhang, Wei Shao, Flora D. Salim, Jeffrey Chan:
Promoting Two-sided Fairness in Dynamic Vehicle Routing Problem. CoRR abs/2405.19184 (2024) - [i111]Francis Zac dela Cruz, Flora D. Salim, Yonchanok Khaokaew, Jeffrey Chan:
CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework. CoRR abs/2406.03109 (2024) - [i110]Wei Shao, Rongyi Zhu, Cai Yang, Chandra Thapa, Muhammad Ejaz Ahmed, Seyit Camtepe, Rui Zhang, Du Yong Kim, Hamid Menouar, Flora D. Salim:
ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation. CoRR abs/2406.03404 (2024) - [i109]Wei Shao, Yufan Kang, Ziyan Peng, Xiao Xiao, Lei Wang, Yuhui Yang, Flora D. Salim:
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning. CoRR abs/2406.04035 (2024) - [i108]Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim:
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics. CoRR abs/2406.08990 (2024) - [i107]Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora D. Salim:
XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges. CoRR abs/2406.12693 (2024) - [i106]Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim:
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. CoRR abs/2406.12709 (2024) - [i105]Lihuan Li, Hao Xue, Yang Song, Flora D. Salim:
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation. CoRR abs/2406.12913 (2024) - [i104]Tianqi Tang, Shohreh Deldari, Hao Xue, Celso de Melo, Flora D. Salim:
ViLCo-Bench: VIdeo Language COntinual learning Benchmark. CoRR abs/2406.13123 (2024) - [i103]Shuang Ao, Simon Khan, Haris Aziz, Flora D. Salim:
REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability. CoRR abs/2406.14214 (2024) - [i102]Soundariya Ananthan, Nan Gao, Flora D. Salim:
Understanding Physiological Responses of Students Over Different Courses. CoRR abs/2407.14015 (2024) - [i101]Shohreh Deldari, Mohammad Goudarzi, Aditya Joshi, Arash Shaghaghi, Simon Finn, Flora D. Salim, Sanjay Jha:
AuditNet: A Conversational AI-based Security Assistant [DEMO]. CoRR abs/2407.14116 (2024) - [i100]Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie:
Long-term Fairness in Ride-Hailing Platform. CoRR abs/2407.17839 (2024) - [i99]Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman, Flora D. Salim:
WorkR: Occupation Inference for Intelligent Task Assistance. CoRR abs/2407.18518 (2024) - [i98]Yongquan Hu, Shuning Zhang, Ting Dang, Hong Jia, Flora D. Salim, Wen Hu, Aaron J. Quigley:
Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health. CoRR abs/2408.07313 (2024) - [i97]Elham Naghizade, Kaixin Ji, Benjamin Tag, Flora D. Salim:
Inside Out or Not: Privacy Implications of Emotional Disclosure. CoRR abs/2409.11805 (2024) - [i96]Zechen Li, Shohreh Deldari, Linyao Chen, Hao Xue, Flora D. Salim:
SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition. CoRR abs/2410.10624 (2024) - [i95]Emma Casolin, Flora D. Salim, Ben Newell:
Evaluating the Influences of Explanation Style on Human-AI Reliance. CoRR abs/2410.20067 (2024) - [i94]Wilson Wongso, Hao Xue, Flora D. Salim:
GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems. CoRR abs/2410.20643 (2024) - [i93]Hira Saleem, Flora D. Salim, Cormac Purcell:
PACER: Physics Informed Uncertainty Aware Climate Emulator. CoRR abs/2410.21657 (2024) - [i92]Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting. CoRR abs/2411.07413 (2024) - [i91]Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim:
Exploring Capabilities of Time Series Foundation Models in Building Analytics. CoRR abs/2411.08888 (2024) - [i90]Declan Curran, Hira Saleem, Sanaa Hobeichi, Flora D. Salim:
Resolution-Agnostic Transformer-based Climate Downscaling. CoRR abs/2411.14774 (2024) - [i89]Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim:
BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics. CoRR abs/2412.14175 (2024) - [i88]Luan Pham, Hongyu Zhang, Huong Ha, Flora D. Salim, Xiuzhen Zhang:
RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data. CoRR abs/2412.17015 (2024) - 2023
- [j54]Flora D. Salim, Bingsheng He, Ken-ichi Kawarabayashi:
Welcome. Commun. ACM 66(7): 36-38 (2023) - [j53]Bayu Distiawan Trisedya, Flora D. Salim, Jeffrey Chan, Damiano Spina, Falk Scholer, Mark Sanderson:
i-Align: an interpretable knowledge graph alignment model. Data Min. Knowl. Discov. 37(6): 2494-2516 (2023) - [j52]Matt Duckham, Jelena Gabela, Allison Kealy, Ross Kyprianou, Jonathan Legg, Bill Moran, Shakila Khan Rumi, Flora D. Salim, Yaguang Tao, Maria Vasardani:
Qualitative spatial reasoning with uncertain evidence using Markov logic networks. Int. J. Geogr. Inf. Sci. 37(9): 2067-2100 (2023) - [j51]Christoph Anderson, Judith Simone Heinisch, Shohreh Deldari, Flora D. Salim, Sandra Ohly, Klaus David, Veljko Pejovic:
Toward Social Role-Based Interruptibility Management. IEEE Pervasive Comput. 22(1): 59-68 (2023) - [j50]Bayu Distiawan Trisedya, Jianzhong Qi, Hai-Tao Zheng, Flora D. Salim, Rui Zhang:
TransCP: A Transformer Pointer Network for Generic Entity Description Generation With Explicit Content-Planning. IEEE Trans. Knowl. Data Eng. 35(12): 13070-13082 (2023) - [j49]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. ACM Trans. Spatial Algorithms Syst. 9(2): 15:1-15:22 (2023) - [j48]Sajjad Athar, Rabeeh Ayaz Abbasi, Zafar Saeed, Anwar Said, Imran Razzak, Flora D. Salim:
ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information. World Wide Web (WWW) 26(5): 3463-3481 (2023) - [c106]Florian Michahelles, Susanne Boll, Katie A. Siek, Flora D. Salim, Aaron J. Quigley:
The unwritten manual of becoming a professor of HCI. CHI Extended Abstracts 2023: 558:1-558:3 - [c105]Danula Hettiachchi, Kaixin Ji, Jenny Kennedy, Anthony McCosker, Flora D. Salim, Mark Sanderson, Falk Scholer, Damiano Spina:
Designing and Evaluating Presentation Strategies for Fact-Checked Content. CIKM 2023: 751-761 - [c104]Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad:
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation. CVPR Workshops 2023: 1111-1120 - [c103]Hao Xue, Flora D. Salim:
Artificial General Intelligence for Human Mobility (Vision Paper). SIGSPATIAL/GIS 2023: 102:1-102:4 - [c102]Kaixin Ji, Damiano Spina, Danula Hettiachchi, Falk Scholer, Flora D. Salim:
Towards Detecting Tonic Information Processing Activities with Physiological Data. UbiComp/ISWC Adjunct 2023: 1-5 - [c101]Yonchanok Khaokaew, Flora D. Salim, Hao Xue:
Understanding Mobile Information Needs and Behaviours. UbiComp/ISWC Adjunct 2023: 210-214 - [c100]Julián Jerónimo Bañuelos, José Costa-Requena, Jiayuan He, Flora D. Salim, Stephan Sigg:
An Application Programming Interface for Android to support dedicated 5G network slicing. IoT 2023: 193-196 - [c99]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. IoTDI 2023: 93-104 - [c98]Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim:
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study. MDM 2023: 39-44 - [c97]Kyle Kai Qin, Mohammad Saiedur Rahaman, Yongli Ren, Chi-Tsun Cheng, Ivan Cole, Flora D. Salim:
A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality. MDM 2023: 89-95 - [c96]Hiruni Kegalle, Danula Hettiachchi, Jeffrey Chan, Flora D. Salim, Mark Sanderson:
Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services. MDM 2023: 255-264 - [c95]Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting. ECML/PKDD (7) 2023: 3-19 - [c94]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes:
Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs. ECML/PKDD (6) 2023: 428-443 - [c93]Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. BuildSys 2023: 41-50 - [c92]Hao Xue, Flora D. Salim:
Utilizing Language Models for Energy Load Forecasting. BuildSys 2023: 224-227 - [c91]Kaixin Ji, Damiano Spina, Danula Hettiachchi, Flora Dilys Salim, Falk Scholer:
Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities. SIGIR 2023: 1971-1975 - [i87]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) - [i86]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) - [i85]Renhao Huang, Hao Xue, Maurice Pagnucco, Flora D. Salim, Yang Song:
Multimodal Trajectory Prediction: A Survey. CoRR abs/2302.10463 (2023) - [i84]Hiruni Kegalle, Danula Hettiachchi, Jeffrey Chan, Flora D. Salim, Mark Sanderson:
Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services. CoRR abs/2304.08721 (2023) - [i83]Edward A. Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan:
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness. CoRR abs/2304.09779 (2023) - [i82]Kaixin Ji, Damiano Spina, Danula Hettiachchi, Flora Dilys Salim, Falk Scholer:
Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities. CoRR abs/2304.13488 (2023) - [i81]Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim:
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study. CoRR abs/2305.00619 (2023) - [i80]Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim:
Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training. CoRR abs/2305.05237 (2023) - [i79]Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim:
Message Passing Neural Networks for Traffic Forecasting. CoRR abs/2305.05740 (2023) - [i78]Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting. CoRR abs/2306.06385 (2023) - [i77]Kyle Kai Qin, Mohammad Saiedur Rahaman, Yongli Ren, Chi-Tsun Cheng, Ivan Cole, Flora D. Salim:
A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality. CoRR abs/2306.11773 (2023) - [i76]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, Xu Teng, 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:
Towards Mobility Data Science (Vision Paper). CoRR abs/2307.05717 (2023) - [i75]Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur:
Latent Masking for Multimodal Self-supervised Learning in Health Timeseries. CoRR abs/2307.16847 (2023) - [i74]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes:
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs. CoRR abs/2308.09896 (2023) - [i73]Danula Hettiachchi, Kaixin Ji, Jenny Kennedy, Anthony McCosker, Flora Dylis Salim, Mark Sanderson, Falk Scholer, Damiano Spina:
Designing and Evaluating Presentation Strategies for Fact-Checked Content. CoRR abs/2308.10220 (2023) - [i72]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen:
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction. CoRR abs/2308.12575 (2023) - [i71]Bayu Distiawan Trisedya, Flora D. Salim, Jeffrey Chan, Damiano Spina, Falk Scholer, Mark Sanderson:
i-Align: an interpretable knowledge graph alignment model. CoRR abs/2308.13755 (2023) - [i70]Danula Hettiachchi, Indigo Holcombe-James, Stephanie Livingstone, Anjalee de Silva, Matthew Lease, Flora D. Salim, Mark Sanderson:
How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets. CoRR abs/2309.01288 (2023) - [i69]Edward A. Small, Jeffrey N. Clark, Christopher J. McWilliams, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Raúl Santos-Rodríguez:
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse. CoRR abs/2309.04211 (2023) - [i68]Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. CoRR abs/2309.04296 (2023) - [i67]Yonchanok Khaokaew, Hao Xue, Flora D. Salim:
MAPLE: Mobile App Prediction Leveraging Large Language model Embeddings. CoRR abs/2309.08648 (2023) - [i66]Hao Xue, Flora D. Salim:
Human Mobility Question Answering (Vision Paper). CoRR abs/2310.04443 (2023) - [i65]Nan Gao, Sam Nolan, Kaixin Ji, Shakila Khan Rumi, Judith Simone Heinisch, Christoph Anderson, Klaus David, Flora D. Salim:
Investigating Emotions, Social Roles, Well-being and Mobile Usage Behaviors During COVID-19 Home Confinement. CoRR abs/2310.13304 (2023) - [i64]Hao Xue, Flora D. Salim:
Utilizing Language Models for Energy Load Forecasting. CoRR abs/2310.17788 (2023) - [i63]Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad:
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation. CoRR abs/2311.03866 (2023) - [i62]Nan Gao, Zhuolei Yu, Chun Yu, Yuntao Wang, Flora D. Salim, Yuanchun Shi:
Automated Mobile Sensing Strategies Generation for Human Behaviour Understanding. CoRR abs/2311.05457 (2023) - [i61]Nan Gao, Soundariya Ananthan, Chun Yu, Yuntao Wang, Flora D. Salim:
Critiquing Self-report Practices for Human Mental and Wellbeing Computing at Ubicomp. CoRR abs/2311.15496 (2023) - [i60]Aaron J. Snoswell, Lucinda Nelson, Hao Xue, Flora D. Salim, Nicolas Suzor, Jean Burgess:
Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities. CoRR abs/2312.03330 (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 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 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 (2019) - [i6]Shakila Khan Rumi, Phillip Luong, Flora D. Salim:
Crime Rate Prediction with Region Risk and Movement Patterns. CoRR abs/1908.02570 (2019) - [i5]Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim:
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. CoRR abs/1909.11048 (2019) - [i4]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. CoRR abs/1911.01605 (2019) - 2018
- [j22]Mohammad Saiedur Rahaman, Yongli Ren, Margaret Hamilton, Flora D. Salim:
Wait Time Prediction for Airport Taxis Using Weighted Nearest Neighbor Regression. IEEE Access 6: 74660-74672 (2018) - [j21]Yongli Ren, Martin Tomko, Flora D. Salim, Jeffrey Chan, Mark Sanderson:
Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces. EPJ Data Sci. 7(1): 1 (2018) - [j20]Shakila Khan Rumi, Ke Deng, Flora Dilys Salim:
Crime event prediction with dynamic features. EPJ Data Sci. 7(1): 43 (2018) - [j19]Tanzima Hashem, Rubaba Hasan, Flora D. Salim, Mehnaz Tabassum Mahin:
Crowd-enabled Processing of Trustworthy, Privacy-Enhanced and Personalised Location Based Services with Quality Guarantee. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 167:1-167:25 (2018) - [j18]Amin Sadri, Flora D. Salim, Yongli Ren, Wei Shao, John Krumm, Cecilia Mascolo:
What Will You Do for the Rest of the Day?: An Approach to Continuous Trajectory Prediction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 186:1-186:26 (2018) - [j17]Wei Shao, Flora D. Salim, Tao Gu, Ngoc-Thanh Dinh, Jeffrey Chan:
Traveling Officer Problem: Managing Car Parking Violations Efficiently Using Sensor Data. IEEE Internet Things J. 5(2): 802-810 (2018) - [j16]Wei Shao, Thuong Nguyen, A. Kai Qin, Moustafa Youssef, Flora D. Salim:
BLEDoorGuard: A Device-Free Person Identification Framework Using Bluetooth Signals for Door Access. IEEE Internet Things J. 5(6): 5227-5239 (2018) - [j15]Irvan Bastian Arief Ang, Margaret Hamilton, Flora D. Salim:
RUP: Large Room Utilisation Prediction with carbon dioxide sensor. Pervasive Mob. Comput. 46: 49-72 (2018) - [j14]Franco Zambonelli, Flora D. Salim, Seng W. Loke, Wolfgang De Meuter, Salil S. Kanhere:
Algorithmic Governance in Smart Cities: The Conundrum and the Potential of Pervasive Computing Solutions. IEEE Technol. Soc. Mag. 37(2): 80-87 (2018) - [j13]Yongli Ren, Martin Tomko, Flora Dilys Salim, Jeffrey Chan, Charles L. A. Clarke, Mark Sanderson:
A Location-Query-Browse Graph for Contextual Recommendation. IEEE Trans. Knowl. Data Eng. 30(2): 204-218 (2018) - [j12]Irvan Bastian Arief Ang, Margaret Hamilton, Flora D. Salim:
A Scalable Room Occupancy Prediction with Transferable Time Series Decomposition of CO2 Sensor Data. ACM Trans. Sens. Networks 14(3-4): 21:1-21:28 (2018) - [c55]Shakila Khan Rumi, Ke Deng, Flora D. Salim:
Theft prediction with individual risk factor of visitors. SIGSPATIAL/GIS 2018: 552-555 - [c54]Wei Shao, Yu Zhang, Bin Guo, Kyle Kai Qin, Jeffrey Chan, Flora D. Salim:
Parking Availability Prediction with Long Short Term Memory Model. GPC 2018: 124-137 - [c53]Hui Song, Alex Kai Qin, Flora D. Salim:
Evolutionary Multi-objective Ensemble Learning for Multivariate Electricity Consumption Prediction. IJCNN 2018: 1-8 - [c52]Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Flora D. Salim, Pari Delir Haghighi:
Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics. MobiQuitous 2018: 19-28 - [c51]Jonathan Liono, Zahraa S. Abdallah, A. Kai Qin, Flora D. Salim:
Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life. MobiQuitous 2018: 342-351 - [c50]Hui Liu, Xin Wang, Yuheng Wei, Wei Shao, Jonathan Liono, Flora D. Salim, Bo Deng, Junzhao Du:
ProMETheus: An Intelligent Mobile Voice Meeting Minutes System. MobiQuitous 2018: 392-401 - [c49]Bilih Priyogi, Mark Sanderson, Flora D. Salim, Jeffrey Chan, Martin Tomko, Yongli Ren:
Identifying In-App User Actions from Mobile Web Logs. PAKDD (2) 2018: 300-311 - [c48]Iqbal H. Sarker, Flora D. Salim:
Mining User Behavioral Rules from Smartphone Data Through Association Analysis. PAKDD (1) 2018: 450-461 - [c47]Mohammad Saiedur Rahaman, Margaret Hamilton, Flora D. Salim:
CoAcT: A Framework for Context-Aware Trip Planning Using Active Transport. PerCom Workshops 2018: 645-650 - [c46]Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson:
Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs. BuildSys 2018: 130-139 - [c45]Mikkel Baun Kjærgaard, Bing Dong, Salvatore Carlucci, Flora D. Salim, Junjing Yang, Clinton J. Andrews, Omid Ardakanian:
Data-driven occupant modeling strategies and digital tools enabled by IEA EBC annex 79: poster abstract. BuildSys 2018: 188-189 - [i3]Iqbal H. Sarker, Flora D. Salim:
Mining User Behavioral Rules from Smartphone Data through Association Analysis. CoRR abs/1804.01379 (2018) - 2017
- [j11]Amin Sadri, Flora D. Salim, Yongli Ren, Masoomeh Zameni, Jeffrey Chan, Timos Sellis:
Shrink: Distance preserving graph compression. Inf. Syst. 69: 180-193 (2017) - [j10]Mohammad Saiedur Rahaman, Yi Mei, Margaret Hamilton, Flora D. Salim:
CAPRA: A contour-based accessible path routing algorithm. Inf. Sci. 385: 157-173 (2017) - [j9]Yongli Ren, Martin Tomko, Flora Dilys Salim, Kevin Ong, Mark Sanderson:
Analyzing Web behavior in indoor retail spaces. J. Assoc. Inf. Sci. Technol. 68(1): 62-76 (2017) - [j8]Yongli Ren, Flora Dilys Salim, Martin Tomko, Yuntian Brian Bai, Jeffrey Chan, Kyle Kai Qin, Mark Sanderson:
D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate. Pervasive Mob. Comput. 37: 94-114 (2017) - [j7]Amin Sadri, Yongli Ren, Flora D. Salim:
Information gain-based metric for recognizing transitions in human activities. Pervasive Mob. Comput. 38: 92-109 (2017) - [j6]Nguyen Cong Thuong, Vu Nguyen, Flora D. Salim, Duc Viet Le, Dinh Q. Phung:
A Simultaneous Extraction of Context and Community from pervasive signals using nested Dirichlet process. Pervasive Mob. Comput. 38: 396-417 (2017) - [c44]Irvan Bastian Arief Ang, Flora D. Salim, Margaret Hamilton:
SD-HOC: Seasonal Decomposition Algorithm for Mining Lagged Time Series. AusDM 2017: 125-143 - [c43]Amin Sadri, Flora Dilys Salim, Yongli Ren:
Full trajectory prediction: what will you do the rest of the day? UbiComp/ISWC Adjunct 2017: 189-192 - [c42]Hui Song, A. Kai Qin, Flora D. Salim:
Multi-resolution Selective Ensemble Extreme Learning Machine for Electricity Consumption Prediction. ICONIP (5) 2017: 600-609 - [c41]Erica Rosalina, Flora D. Salim, Timos Sellis:
Automated density-based clustering of spatial urban data for interactive data exploration. INFOCOM Workshops 2017: 295-300 - [c40]Wei Shao, Flora D. Salim, Thuong Nguyen, Moustafa Youssef:
Who Opened the Room? Device-Free Person Identification Using Bluetooth Signals in Door Access. iThings/GreenCom/CPSCom/SmartData 2017: 68-75 - [c39]Mohammad Saiedur Rahaman, Margaret Hamilton, Flora D. Salim:
Queue Context Prediction Using Taxi Driver Knowledge. K-CAP 2017: 35:1-35:4 - [c38]Xianjing Wang, Jonathan Liono, Will McIntosh, Flora D. Salim:
Predicting the city foot traffic with pedestrian sensor data. MobiQuitous 2017: 1-10 - [c37]Mohammad Saiedur Rahaman, Margaret Hamilton, Flora D. Salim:
Predicting Imbalanced Taxi and Passenger Queue Contexts in Airport. PACIS 2017: 172 - [c36]Irvan Bastian Arief Ang, Flora D. Salim, Margaret Hamilton:
DA-HOC: semi-supervised domain adaptation for room occupancy prediction using CO2 sensor data. BuildSys 2017: 1:1-1:10 - [i2]Irvan Bastian Arief Ang, Flora D. Salim, Margaret Hamilton:
CD-HOC: Indoor Human Occupancy Counting using Carbon Dioxide Sensor Data. CoRR abs/1706.05286 (2017) - 2016
- [j5]Yi Mei, Flora D. Salim, Xiaodong Li:
Efficient meta-heuristics for the Multi-Objective Time-Dependent Orienteering Problem. Eur. J. Oper. Res. 254(2): 443-457 (2016) - [j4]Wei Shao, Flora D. Salim, Andy Song, Athman Bouguettaya:
Clustering Big Spatiotemporal-Interval Data. IEEE Trans. Big Data 2(3): 190-203 (2016) - [c35]Danilo Di Mascio, Rachel Clarke, Yoko Akama, Flora D. Salim:
Urban HCI: (Re)adapting the City Together. Conference on Designing Interactive Systems (Companion Volume) 2016: 89-92 - [c34]Lishan Cui, Xiuzhen Zhang, Xiangmin Zhou, Flora D. Salim:
Topical Event Detection on Twitter. ADC 2016: 257-268 - [c33]Sven Krome, Jonathan Liono, Flora D. Salim, Stefan Greuter, Fabius Steinberger:
AutoJammin': Designing Progression in Traffic and Music. AutomotiveUI (adjunct) 2016: 63-68 - [c32]Hui Song, A. Kai Qin, Flora D. Salim:
Multivariate electricity consumption prediction with Extreme Learning Machine. IJCNN 2016: 2313-2320 - [c31]Jonathan Liono, Nguyen Cong Thuong, Prem Prakash Jayaraman, Flora D. Salim:
UTE: A Ubiquitous Data Exploration Platform for Mobile Sensing Experiments. MDM 2016: 349-352 - [c30]Jonathan Liono, A. Kai Qin, Flora D. Salim:
Optimal time window for temporal segmentation of sensor streams in multi-activity recognition. MobiQuitous 2016: 10-19 - [c29]Jonathan Liono, Andrew Valentine, Chin Koi Khoo, Flora D. Salim:
Measuring passers-by engagement with AmPost: a printed interactive audio poster. OZCHI 2016: 215-219 - [c28]Irvan Bastian Arief Ang, Flora Dilys Salim, Margaret Hamilton:
Human occupancy recognition with multivariate ambient sensors. PerCom Workshops 2016: 1-6 - [c27]Nguyen Cong Thuong, Vu Nguyen, Flora D. Salim, Dinh Q. Phung:
SECC: Simultaneous extraction of context and community from pervasive signals. PerCom 2016: 1-9 - [c26]Flora D. Salim, Stephan Sigg, Chenren Xu:
CoSDEO 2016: Contact-free ambient sensing - Welcome and committees: Welcome message from the CoSDEO 2016 workshop co-chairs. PerCom Workshops 2016: 1-2 - [c25]Franco Zambonelli, Wolfgang De Meuter, Salil S. Kanhere, Seng Wai Loke, Flora D. Salim:
Smart cities: Intelligent environments and dumb people? Panel summary. PerCom 2016: 1-2 - 2015
- [j3]Flora D. Salim, Usman Haque:
Urban computing in the wild: A survey on large scale participation and citizen engagement with ubiquitous computing, cyber physical systems, and Internet of Things. Int. J. Hum. Comput. Stud. 81: 31-48 (2015) - [c24]Yi Mei, Xiaodong Li, Flora D. Salim, Xin Yao:
Heuristic evolution with Genetic Programming for Traveling Thief Problem. CEC 2015: 2753-2760 - [c23]Jonathan Liono, Flora Dilys Salim, Irwan Fario Subastian:
Visualization Oriented Spatiotemporal Urban Data Management and Retrieval. UCUI@CIKM 2015: 21-26 - [c22]Chii Chang, Seng W. Loke, Hai Dong, Flora D. Salim, Satish Narayana Srirama, Mohan Liyanage, Sea Ling:
An Energy-Efficient Inter-organizational Wireless Sensor Data Collection Framework. ICWS 2015: 639-646 - [e1]Stephan Sigg, Petteri Nurmi, Flora D. Salim:
Mobile Computing, Applications, and Services - 7th International Conference, MobiCASE 2015, Berlin, Germany, November 12-13, 2015, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 162, Springer 2015, ISBN 978-3-319-29002-7 [contents] - [i1]Yongli Ren, Martin Tomko, Flora D. Salim, Kevin Ong, Mark Sanderson:
Analyzing Web Behavior in Indoor Retail Spaces. CoRR abs/1506.05628 (2015) - 2014
- [c21]Flora D. Salim, Aaron Belbasis, Daniel Prohasky, Shadi Houshyar, Franz Konstantin Fuss:
Design and evaluation of smart wearable undergarment for monitoring physiological extremes in firefighting. ISWC Adjunct 2014: 249-254 - [c20]Flora D. Salim, Mars Dela Pena, Yury Petrov, Nishant Sony, Bo Wu, Abdelsalam Ahmed Saad:
EnviS Tag, Scan, View: A Location-Based App for Visualizing Spatio-temporal Data from Sensor Cloud. MDM (1) 2014: 329-332 - [c19]Samuel Elsmore, Irwan Fario Subastian, Flora Dilys Salim, Margaret Hamilton:
VDIM: vector-based diffusion and interpolation matrix for computing region-based crowdsourced ratings: towards safe route selection for human navigation. MUM 2014: 212-215 - [c18]Amin Sadri, Flora Dilys Salim:
Day type classification using cell tower connectivity data from smartphones. MUM 2014: 244-247 - [c17]Anh Hoang Dau, Flora Dilys Salim, Andy Song, Lachlan Hedin, Margaret Hamilton:
Phone based fall detection by genetic programming. MUM 2014: 256-257 - [c16]Naman Thakar, Flora Dilys Salim, Stefan Greuter:
Navigating multiple augmented reality overlays through occlusion-based triggers. MUM 2014: 264-265 - [c15]Flora D. Salim, Mani Williams, Nishant Sony, Mars Dela Pena, Yury Petrov, Abdelsalam Ahmed Saad, Bo Wu:
Visualization of wireless sensor networks using ZigBee's Received Signal Strength Indicator (RSSI) for indoor localization and tracking. PerCom Workshops 2014: 575-580 - [c14]Anh Hoang Dau, Andy Song, Feng Xie, Flora Dilys Salim, Vic Ciesielski:
Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviours. SEAL 2014: 542-553 - 2013
- [c13]Feng Xie, Andy Song, Flora Dilys Salim, Athman Bouguettaya, Timos K. Sellis, Doug Bradbrook:
Learning Risky Driver Behaviours from Multi-Channel Data Streams Using Genetic Programming. Australasian Conference on Artificial Intelligence 2013: 202-213 - [c12]Chin Koi Khoo, Flora Dilys Salim:
Lumina: a soft kinetic material for morphing architectural skins and organic user interfaces. UbiComp 2013: 53-62 - [c11]Flora Dilys Salim, Chin Koi Khoo:
emoTicSpace: when the built environments get emotional... UbiComp (Adjunct Publication) 2013: 1363-1366 - 2011
- [j2]Flora D. Salim, Hugo M. Mulder, Jane Burry:
Form fostering: A novel design approach for interacting with parametric models in the embodied virtuality. J. Inf. Technol. Constr. 16: 135-150 (2011) - [j1]Margaret Hamilton, Flora D. Salim, Eva Cheng, Suelynn Choy:
Transafe: a crowdsourced mobile platform for crime and safety perception management. SIGCAS Comput. Soc. 41(2): 32-37 (2011) - [c10]Margaret Hamilton, Flora Dilys Salim, Eva Cheng, Sue Lynn Choy:
Transafe: a crowdsourced mobile platform for crime and safety perception management. ISTAS 2011: 1-6 - 2010
- [c9]Flora Dilys Salim:
Towards Adaptive Mobile Mashups: Opportunities for Designing Effective Persuasive Technology on the Road. AINA Workshops 2010: 7-11 - [c8]Flora Dilys Salim, Jane Burry:
Software Openness: Evaluating Parameters of Parametric Modeling Tools to Support Creativity and Multidisciplinary Design Integration. ICCSA (3) 2010: 483-497
2000 – 2009
- 2008
- [c7]Flora Dilys Salim, Licheng Cai, Maria Indrawan, Seng Wai Loke:
Road Intersections as Pervasive Computing Environments: Towards a Multiagent Real-Time Collision Warning System. PerCom 2008: 621-626 - 2007
- [c6]Flora Dilys Salim, Seng Wai Loke, Andry Rakotonirainy, Shonali Krishnaswamy:
U&I Aware: A Framework Using Data Mining and Collision Detection to Increase Awareness for Intersection Users. AINA Workshops (2) 2007: 530-535 - [c5]Flora Dilys Salim, Seng Wai Loke, Andry Rakotonirainy, Bala Srinivasan, Shonali Krishnaswamy:
Collision Pattern Modeling and Real-Time Collision Detection at Road Intersections. ITSC 2007: 161-166 - [c4]Flora Dilys Salim, Seng Wai Loke, Andry Rakotonirainy, Shonali Krishnaswamy:
Simulated Intersection Environment and Learning of Collision and Traffic Data in the U&I Aware Framework. UIC 2007: 153-162 - 2005
- [c3]Flora Dilys Salim, Shonali Krishnaswamy, Seng Wai Loke, Andry Rakotonirainy:
Context-Aware Ubiquitous Data Mining Based Agent Model for Intersection Safety. EUC Workshops 2005: 61-70 - 2004
- [c2]Flora Dilys Salim, Rosanne Price, Maria Indrawan, Shonali Krishnaswamy:
Graphical Representation of XML Schema. APWeb 2004: 234-245 - [c1]Flora Dilys Salim, Rosanne Price, Shonali Krishnaswamy, Maria Indrawan:
UML Documentation Support for XML Schema. Australian Software Engineering Conference 2004: 211-220
Coauthor Index
Muhammad Imran Razzak
aka: Imran Razzak
aka: Imran Razzak
[j64] [j61] [c134] [c121] [c115] [i112] [i110] [i109] [i100] [j49] [c99] [i87] [i86] [i80] [i79] [j44] [j42] [j39] [c88] [c86] [c85] [i59] [i57] [i54] [i47] [c82] [c75] [c74] [i39] [i37] [i36] [i27] [j33] [j30] [j29] [j26] [c71] [c68] [c67] [c66] [i25] [i22] [i21] [i16] [i13] [j25] [c61] [c58] [c56] [i8] [i7] [i5] [i4] [j18] [j17] [j16] [c54] [c50] [c40] [j4]
[j68] [i138] [i135] [i133] [i132] [i129] [i128] [i127] [i124] [i123] [j65] [j64] [j63] [j60] [j59] [j57] [c133] [c132] [c131] [c130] [c122] [c117] [c116] [c111] [c108] [i122] [i120] [i117] [i114] [i108] [i107] [i106] [i105] [i104] [i99] [i96] [i94] [i92] [i91] [i89] [c103] [c101] [c99] [c98] [c95] [c93] [c92] [i86] [i85] [i81] [i80] [i79] [i78] [i68] [i67] [i66] [i64] [i60] [j43] [j39] [c90] [c87] [c84] [i56] [i52] [i50] [i49] [i46] [c81] [c79] [c77] [c76] [c72] [i40] [i33] [i32] [i29] [i28] [i13] [i10] [i9]
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