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Flora D. Salim

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Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs

Aug 19, 2023
Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno Yepes

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Continually learning out-of-distribution spatiotemporal data for robust energy forecasting

Jun 10, 2023
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim

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Message Passing Neural Networks for Traffic Forecasting

May 09, 2023
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim

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Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training

May 09, 2023
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim

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Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study

May 01, 2023
Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim

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Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness

Apr 19, 2023
Edward A. Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan

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Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting

Feb 28, 2023
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim

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Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction

Jan 12, 2023
Kyle K. Qin, Yongli Ren, Wei Shao, Brennan Lake, Filippo Privitera, Flora D. Salim

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Detecting Change Intervals with Isolation Distributional Kernel

Dec 30, 2022
Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Gang Li

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