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ORCIDFlora D. Salim
Flora Dilys Salim – Flora Dylis 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
- 2024
[j62]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)- [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [c119]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 - [c118]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 - [c117]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 - [c116]Yufan Kang, Rongsheng Zhang, Wei Shao, Flora D. Salim, Jeffrey Chan:
Promoting Two-sided Fairness in Dynamic Vehicle Routing Problems. GECCO 2024 - [c115]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 - [c114]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 - [c113]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 - [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 - [i111]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) - [i110]Hira Saleem, Flora D. Salim, Cormac Purcell:
Conformer: Embedding Continuous Attention in Vision Transformer for Weather Forecasting. CoRR abs/2402.17966 (2024) - [i109]Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim:
Prompt Mining for Language-based Human Mobility Forecasting. CoRR abs/2403.03544 (2024) - [i108]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) - [i107]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) - [i106]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) - [i105]Kaixin Ji, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina:
Characterizing Information Seeking Processes with Multiple Physiological Signals. CoRR abs/2405.00322 (2024) - [i104]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) - [i103]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) - [i102]Duke Nguyen, Aditya Joshi, Flora D. Salim:
Spectraformer: A Unified Random Feature Framework for Transformer. CoRR abs/2405.15310 (2024) - [i101]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) - [i100]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) - [i99]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) - [i98]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) - [i97]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) - [i96]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) - [i95]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) - [i94]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) - [i93]Tianqi Tang, Shohreh Deldari, Hao Xue, Celso De Melo, Flora D. Salim:
ViLCo-Bench: VIdeo Language COntinual learning Benchmark. CoRR abs/2406.13123 (2024) - [i92]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) - [i91]Soundariya Ananthan, Nan Gao, Flora D. Salim:
Understanding Physiological Responses of Students Over Different Courses. CoRR abs/2407.14015 (2024) - [i90]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) - [i89]Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie:
Long-term Fairness in Ride-Hailing Platform. CoRR abs/2407.17839 (2024) - [i88]Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman, Flora D. Salim:
WorkR: Occupation Inference for Intelligent Task Assistance. CoRR abs/2407.18518 (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@SenSys 2023: 41-50 - [c92]Hao Xue, Flora D. Salim:
Utilizing Language Models for Energy Load Forecasting. BuildSys@SenSys 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]