Research Publications and Outputs: Recent submissions
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The ensemble approach to forecasting: A review and synthesis
Published 2021Ensemble forecasting is a modeling approach that combines data sources, models of different types, with alternative assumptions, using distinct pattern recognition methods. The aim is to use all available information in ...Article -
Adversarial Recurrent Time Series Imputation
Published 2020For the real-world time series analysis, data missing is a ubiquitously existing problem due to anomalies during data collecting and storage. If not treated properly, this problem will seriously hinder the classification, ...Article -
Iterative Privileged Learning
Published 2020While in the learning using privileged information paradigm, privileged information may not be as informative as example features in the context of making accurate label predictions, it may be able to provide some effective ...Article -
Robust learning with imperfect privileged information
Published 2020In the learning using privileged information (LUPI) paradigm, example data cannot always be clean, while the gathered privileged information can be imperfect in practice. Here, imperfect privileged information can refer ...Article -
Self-supervised Pose Adaptation for Cross-Domain Image Animation
Published 2020Image animation is to animate a still image of the object of interest using poses extracted from another video sequence. Through training on a large-scale video dataset, most existing approaches aim to explore disentangled ...Article