Recent (Selected) Papers
Click here for a full list, including Chandola's papers published before 2013.
Balancing fidelity and flexibility: a case study presentation of an augmented dynamic adaptation process for socio-technical innovations in healthcare

Sullivan et al., 2026

Shear Condition Classification of Cracked Reinforced Concrete Beams Using Machine Learning

Castillo et al., 2025

COMODO: Configurable morphology distance operator

Desai et al., 2024

Resource Efficient Bayesian Optimization

Juneja et al., 2024

Learning manifolds from non-stationary streams

Suchismit Mahapatra and Varun Chandola, 2024

Tracking clusters and anomalies in evolving data streams

Guggilam, Sreelekha et al., 2022

Multi-step ahead predictive model for blood glucose concentrations of type-1 diabetic patients

Zaidi et al., 2021

From images in the wild to video-informed image classification

Bohlen et al., 2021

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

Ettu: Analyzing Query Intents in Corporate Databases

Kul, Gokhan et al., 2016

Modeling graphs using a mixture of Kronecker models

Mahapatra et al., 2015

Surface Reconstruction from Intensity Image Using Illumination Model Based Morphable Modeling

Yang and Chandola, 2015

Analyzing Big Spatial and Big Spatiotemporal Data: A Case Study of Methods and Applications

Chandola et al., 2015

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

Chandola, Varun et al., 2014

Knowledge discovery from massive healthcare claims data

Chandola, Varun et al., 2013