Recent Papers
Click here for Chandola's papers published before 2013.
DST-Predict: Predicting Individual Mobility Patterns From Mobile Phone GPS Data

Zaidi et al., 2021

Explainable Deep Learning for Readmission Prediction with Tree-GloVe Embedding

Jiang et al., 2021

Graph-based Strategy for Establishing Morphology Similarity

Juneja et al., 2021

160 Underlying Factors Contributing to Sleep Health Among Middle-aged and Older Adults

Lorenz et al., 2021

Explaining Supervised Learning Models: A Preliminary Study on Binary Classifiers

Xiaomei Wang et al., 2020

Learning Manifolds from Dynamic Process Data

Frank Schoeneman et al., 2020

longSil: an Evaluation Metric to Assess Quality of Clustering Longitudinal Clinical Data

Luong, Duc Thanh Anh et al., 2019

Learning Deep Representations from Clinical Data for Chronic Kidney Disease

Duc Luong and Varun Chandola, 2019

Identifying Patients Experiencing Opioid-Induced Respiratory Depression During Recovery From Anesthesia: The Application of Electronic Monitoring Devices.

Jungquist, Carla R et al., 2019

Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data

Guggilam, Sreelekha et al., 2019

Mortality Risk in Homebound Older Adults Predicted From Routinely Collected Nursing Data.

Sullivan, Suzanne S et al., 2019

Tree-based Regularization for Interpretable Readmission Prediction

Jialiang Jiang et al., 2019

Query Log Compression for Workload Analytics

Xie, Ting et al., 2019

dynamicMF: A Matrix Factorization Approach to Monitor Resource Usage in High Performance Computing Systems

Sorkunlu, Niyazi et al., 2018

Similarity Metrics for SQL Query Clustering

Kul, Gokhan et al., 2018

Machine learning for energy-water nexus: challenges and opportunities

Syed Mohammed Arshad Zaidi et al., 2018

A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework

Melissa R. Allen et al., 2018

S-Isomap++: Multi Manifold Learning from Streaming Data

Suchismit Mahapatra and Varun Chandola, 2017

A reference based analysis framework for understanding anomaly detection techniques for symbolic sequences

Chandola, Varun et al., 2014