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Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning


Apr 09, 2023
Karan Aggarwal, Jaideep Srivastava

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Embarrassingly Simple MixUp for Time-series


Apr 09, 2023
Karan Aggarwal, Jaideep Srivastava

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Hierarchical clustering by aggregating representatives in sub-minimum-spanning-trees


Nov 11, 2021
Wen-Bo Xie, Zhen Liu, Jaideep Srivastava

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PARIS: Personalized Activity Recommendation for Improving Sleep Quality


Oct 26, 2021
Meghna Singh, Saksham Goel, Abhiraj Mohan, Louis Kazaglis, Jaideep Srivastava

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* 18 pages, 7 figures, Submitted to UMUAI: Special Issue on Recommender Systems for Health and Wellbeing, 2020 

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MOOCRep: A Unified Pre-trained Embedding of MOOC Entities


Jul 12, 2021
Shalini Pandey, Jaideep Srivastava

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Continual Deterioration Prediction for Hospitalized COVID-19 Patients


Jan 19, 2021
Jiacheng Liu, Meghna Singh, Catherine ST. Hill, Vino Raj, Lisa Kirkland, Jaideep Srivastava

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* 8 pages, 11 figures. Submitted to JAMIA in OCT, 2020 

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Learning Student Interest Trajectory for MOOCThread Recommendation


Jan 16, 2021
Shalini Pandey, Andrew Lan, George Karypis, Jaideep Srivastava

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* Accepted at IEEE ICDM Workshop on Continual Learning and Adaptation for Time Evolving Data, 2020 

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An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset


Jan 16, 2021
Shalini Pandey, George Karypis, Jaideep Srivastava

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* Accepted at AAAI workshop on AI in Education, Imagining Post-COVID Education with AI, 2021 

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RKT : Relation-Aware Self-Attention for Knowledge Tracing


Aug 28, 2020
Shalini Pandey, Jaideep Srivastava

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Using Clinical Notes with Time Series Data for ICU Management


Sep 12, 2019
Swaraj Khadanga, Karan Aggarwal, Shafiq Joty, Jaideep Srivastava

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* Accepted at EMNLP 2019 

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