| 2019 | ACSSC | Selecting Parameters for Image Processing Algorithms: A Case Study Using Retinal Image Segmentation. | Chandrika Kamath |
| 2017 | DSAA | Learning to Compress Unstructured Mesh Data from Simulations. | Chandrika Kamath |
| 2015 | DCC | Practical Considerations in Applying Compressed Sensing to Simulation Data. | Ya-Ju Fan, Chandrika Kamath |
| 2014 | ICMLA | Incremental SVD for Insight into Wind Generation. | Chandrika Kamath, Ya-Ju Fan |
| 2012 | ACSSC | Extending MC-SURE to denoise sensor data streams. | Mandoye Ndoye, Chandrika Kamath |
| 2012 | EuroPar | Fast and Effective Lossy Compression Algorithms for Scientific Datasets. | Jeremy Iverson, Chandrika Kamath, George Karypis |
| 2012 | ICMLA | Finding Motifs in Wind Generation Time Series Data. | Chandrika Kamath, Ya-Ju Fan |
| 2008 | ICIP | Tracking non-rigid structures in computer simulations. | Abel Gezahegne, Chandrika Kamath |
| 2007 | ICIP | Estimating Missing Features to Improve Multimedia Retrieval. | Abraham Bagherjeiran, Nicole S. Love, Chandrika Kamath |
| 2007 | ICIP | Image Analysis for Validation of Simulations of a Fluid Mix Problem. | Chandrika Kamath, Paul L. Miller |
| 2006 | IPAS | Comparing shape and texture features for pattern recognition in simulation data. | Shawn D. Newsam, Chandrika Kamath |
| 2006 | SDM | Graph-based Methods for Orbit Classification. | Abraham Bagherjeiran, Chandrika Kamath |
| 2004 | IPAS | Retrieval of similar objects in simulation data using machine learning techniques. | Erick Cant-Paz, Sen-Ching S. Cheung, Chandrika Kamath |
| 2004 | KDD | Feature selection in scientific applications. | Erick Cant-Paz, Shawn D. Newsam, Chandrika Kamath |
| 2004 | KDD | Effective localized regression for damage detection in large complex mechanical structures. | Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath |
| 2004 | VCIP | Robust techniques for background subtraction in urban traffic video. | Sen-Ching S. Cheung, Chandrika Kamath |
| 2004 | VCIP | Investigation of implicit active contours for scientific image segmentation. | Sisira K. Weeratunga, Chandrika Kamath |
| 2003 | ICDM | Localized Prediction of Continuous Target Variables Using Hierarchical Clustering. | Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath, Vipin Kumar, Kumar K. Tamma |
| 2003 | IPAS | Use of machine vision techniques to detect human settlements in satellite images. | Chandrika Kamath, Sailes K. Sengupta, Douglas N. Poland, John A. H. Futterman |
| 2003 | IPAS | Comparison of PDE-based non-linear anistropic diffusion techniques for image denoising. | Sisira Weeratunga, Chandrika Kamath |
| 2002 | GECCO | Evolving Neural Networks For The Classification Of Galaxies. | Erick Cant-Paz, Chandrika Kamath |
| 2002 | ICPR | Probabilistic Model-Based Detection of Bent-Double Radio Galaxies. | Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath, Erick Cant-Paz |
| 2002 | IPAS | PDE-based nonlinear diffusion techniques for denoising scientific and industrial images: an empirical study. | Sisira Weeratunga, Chandrika Kamath |
| 2002 | SDM | Approximate Splitting for Ensembles of Trees using Histograms. | Chandrika Kamath, Erick Cant-Paz, David Littau |
| 2000 | GECCO | Using Evolutionary Algorithms to Induce Oblique Decision Trees. | Erick Cant-Paz, Chandrika Kamath |