Solution of Nonsymmetric Systems of Equations on a Multiprocessor - Chandrika Kamath 001 (1986)

A projection method for solving nonsymmetric linear systems on multiprocessors. - Chandrika Kamath 001; Ahmed H. Sameh (Parallel Comput., 1989)

Implementation of two projection methods on a shared memory multiprocessor: DEC VAX 6240. - Chandrika Kamath 001; Sisira Weeratunga (Parallel Comput., 1990)

Projection Methods on a Distributed Memory MIMD Multiprocessor. - Chandrika Kamath 001; Sisira Weeratunga (PP, 1991)

DXML: A High-performance Scientific Subroutine Library. - Chandrika Kamath 001; Roy Ho; Dwight P. Manley (Digit. Tech. J., 1994)

Using Evolutionary Algorithms to Induce Oblique Decision Trees. - Erick Cantú-Paz; Chandrika Kamath 001 (GECCO, 2000)

Evolving Neural Networks For The Classification Of Galaxies. - Erick Cantú-Paz; Chandrika Kamath 001 (GECCO, 2002)

Probabilistic Model-Based Detection of Bent-Double Radio Galaxies. - Sergey Kirshner; Igor V. Cadez; Padhraic Smyth; Chandrika Kamath 001; Erick Cantú-Paz (ICPR (2), 2002)

PDE-based nonlinear diffusion techniques for denoising scientific and industrial images: an empirical study. - Sisira Weeratunga; Chandrika Kamath 001 (Image Processing: Algorithms and Systems, 2002)

Learning to Classify Galaxy Shapes Using the EM Algorithm. - Sergey Kirshner; Igor V. Cadez; Padhraic Smyth; Chandrika Kamath 001 (NIPS, 2002)

Approximate Splitting for Ensembles of Trees using Histograms. - Chandrika Kamath 001; Erick Cantú-Paz; David Littau (SDM, 2002)

Dimension reduction techniques and the classification of bent double galaxies. - Imola K. Fodor; Chandrika Kamath 001 (Comput. Stat. Data Anal., 2002)

Classifying bent-double galaxies. - Chandrika Kamath 001; Erick Cantú-Paz; Imola K. Fodor; Nu Ai Tang (Comput. Sci. Eng., 2002)

Workshop Report: The Fourth Workshop on Mining Scientific Datasets. - Chandrika Kamath 001 (SIGKDD Explor., 2002)

Damage prediction in structural mechanics using partitioning approach. - Aleksandar Lazarevic; Ramdev Kanapady; Kumar K. Tamma; Chandrika Kamath 001; Vipin Kumar 001 (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2003)

Localized Prediction of Continuous Target Variables Using Hierarchical Clustering. - Aleksandar Lazarevic; Ramdev Kanapady; Chandrika Kamath 001; Vipin Kumar 001; Kumar K. Tamma (ICDM, 2003)

Use of machine vision techniques to detect human settlements in satellite images. - Chandrika Kamath 001; Sailes K. Sengupta; Douglas N. Poland; John A. H. Futterman (Image Processing: Algorithms and Systems, 2003)

Comparison of PDE-based non-linear anistropic diffusion techniques for image denoising. - Sisira Weeratunga; Chandrika Kamath 001 (Image Processing: Algorithms and Systems, 2003)

Denoising through wavelet shrinkage: an empirical study. - Imola K. Fodor; Chandrika Kamath 001 (J. Electronic Imaging, 2003)

Evolving neural networks to identify bent-double galaxies in the FIRST survey. - Erick Cantú-Paz; Chandrika Kamath 001 (Neural Networks, 2003)

Inducing oblique decision trees with evolutionary algorithms. - Erick Cantú-Paz; Chandrika Kamath 001 (IEEE Trans. Evol. Comput., 2003)

Retrieval using texture features in high-resolution multispectral satellite imagery. - Shawn D. Newsam; Chandrika Kamath 001 (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2004)

Retrieval of similar objects in simulation data using machine learning techniques. - Erick Cantú-Paz; Sen-Ching S. Cheung; Chandrika Kamath 001 (Image Processing: Algorithms and Systems, 2004)

Feature selection in scientific applications. - Erick Cantú-Paz; Shawn D. Newsam; Chandrika Kamath 001 (KDD, 2004)

Effective localized regression for damage detection in large complex mechanical structures. - Aleksandar Lazarevic; Ramdev Kanapady; Chandrika Kamath 001 (KDD, 2004)

Robust techniques for background subtraction in urban traffic video. - Sen-Ching S. Cheung; Chandrika Kamath 001 (VCIP, 2004)

Investigation of implicit active contours for scientific image segmentation. - Sisira K. Weeratunga; Chandrika Kamath 001 (VCIP, 2004)

Salient points for tracking moving objects in video. - Chandrika Kamath 001; Abel Gezahegne; Shawn D. Newsam; George Marlon Roberts (Electronic Imaging: Image and Video Communications and Processing, 2005)

Robust Background Subtraction with Foreground Validation for Urban Traffic Video. - Sen-Ching S. Cheung; Chandrika Kamath 001 (EURASIP J. Adv. Signal Process., 2005)

An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems. - Erick Cantú-Paz; Chandrika Kamath 001 (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Comparing shape and texture features for pattern recognition in simulation data. - Shawn D. Newsam; Chandrika Kamath 001 (Image Processing: Algorithms and Systems, 2006)

Graph-based Methods for Orbit Classification. - Abraham Bagherjeiran; Chandrika Kamath 001 (SDM, 2006)

Estimating Missing Features to Improve Multimedia Retrieval. - Abraham Bagherjeiran; Nicole S. Love; Chandrika Kamath 001 (ICIP (2), 2007)

Image Analysis for Validation of Simulations of a Fluid Mix Problem. - Chandrika Kamath 001; Paul L. Miller (ICIP (3), 2007)

Tracking non-rigid structures in computer simulations. - Abel Gezahegne; Chandrika Kamath 001 (ICIP, 2008)

Data Analysis in the 21st Century. - Arnold Goodman; Chandrika Kamath 001; Vipin Kumar 001 (Stat. Anal. Data Min., 2008)

Scientific Data Mining - A Practical Perspective. - Chandrika Kamath 001 (SIAM, 2009)

Scientific Data Analysis. - Chandrika Kamath 001; Nikil Wale; George Karypis; Gaurav Pandey 002; Vipin Kumar 001; Krishna Rajan; Nagiza F. Samatova; Paul Breimyer; Guruprasad Kora; Chongle Pan; Srikanth B. Yoginath (Scientific Data Management, 2009)

Identification of Coherent Structures in Three-Dimensional Simulations of a Fluid-Mix Problem. - Chandrika Kamath 001; Abel Gezahegne; Paul L. Miller (Int. J. Image Graph., 2009)

Application-Driven Data Analysis. - Chandrika Kamath 001 (Stat. Anal. Data Min., 2009)

Robust Extraction of Statistics from Images of Material Fragmentation. - Chandrika Kamath 001; Omar A. Hurricane (Int. J. Image Graph., 2011)

Extending MC-SURE to denoise sensor data streams. - Mandoye Ndoye; Chandrika Kamath 001 (ACSCC, 2012)

Fast and Effective Lossy Compression Algorithms for Scientific Datasets. - Jeremy Iverson; Chandrika Kamath 001; George Karypis (Euro-Par, 2012)

Finding Motifs in Wind Generation Time Series Data. - Chandrika Kamath 001; Ya-Ju Fan (ICMLA (2), 2012)

Using data mining to enable integration of wind resources on the power grid. - Chandrika Kamath 001; Ya-Ju Fan (Stat. Anal. Data Min., 2012)

Incremental SVD for Insight into Wind Generation. - Chandrika Kamath 001; Ya-Ju Fan (ICMLA, 2014)

Practical Considerations in Applying Compressed Sensing to Simulation Data. - Ya-Ju Fan; Chandrika Kamath 001 (DCC, 2015)

Identifying and Exploiting Diurnal Motifs in Wind Generation Time Series Data. - Ya-Ju Fan; Chandrika Kamath 001 (Int. J. Pattern Recognit. Artif. Intell., 2015)

Evaluation of connected-component labeling algorithms for distributed-memory systems. - Jeremy Iverson; Chandrika Kamath 001; George Karypis (Parallel Comput., 2015)

Detecting ramp events in wind energy generation using affinity evaluation on weather data. - Ya-Ju Fan; Chandrika Kamath 001 (Stat. Anal. Data Min., 2016)

Learning to Compress Unstructured Mesh Data from Simulations. - Chandrika Kamath 001 (DSAA, 2017)

Compressing Unstructured Mesh Data Using Spline Fits, Compressed Sensing, and Regression Methods. - Chandrika Kamath 001; Ya-Ju Fan (GlobalSIP, 2018)

Regression with small data sets: a case study using code surrogates in additive manufacturing. - Chandrika Kamath 001; Ya-Ju Fan (Knowl. Inf. Syst., 2018)

Selecting Parameters for Image Processing Algorithms: A Case Study Using Retinal Image Segmentation. - Chandrika Kamath 001 (ACSSC, 2019)

Intelligent Exploration of Large-Scale Data: What Can We Learn in Two Passes? - Chandrika Kamath 001 (IEEE BigData, 2019)

Compressing unstructured mesh data from simulations using machine learning. - Chandrika Kamath 001 (Int. J. Data Sci. Anal., 2020)

Randomized Algorithms for Scientific Computing (RASC). - Aydin Buluç; Tamara G. Kolda; Stefan M. Wild; Mihai Anitescu; Anthony M. DeGennaro; John Jakeman; Chandrika Kamath 001; Ramakrishnan Kannan; Miles E. Lopes; Per-Gunnar Martinsson; Kary L. Myers; Jelani Nelson; et al. (CoRR, 2021)

Intelligent sampling for surrogate modeling, hyperparameter optimization, and data analysis. - Chandrika Kamath 001 (CoRR, 2023)

Data Mining for Faster, Interpretable Solutions to Inverse Problems: A Case Study Using Additive Manufacturing. - Chandrika Kamath 001; Juliette Franzman; Ravi Ponmalai (CoRR, 2023)

Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part I - Analysis with a Small Sample Size. - Chandrika Kamath 001; Juliette S. Franzman; Brian H. Daub (CoRR, 2023)

Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part II - Clustering Extremely High-Dimensional Grid-Based Data. - Chandrika Kamath 001; Juliette S. Franzman (CoRR, 2023)

Classification of orbits in Poincaré maps using machine learning. - Chandrika Kamath 001 (Int. J. Data Sci. Anal., 2024)