A parallel algorithm for the generalized symmetric eigenvalue problem on a hybrid multiprocessor. - Ramesh Natarajan (Parallel Comput., 1990)

A Case Study in Parallel Scientific Computing: The Boundary Element Method on a Distributed-Memory Multicomputer. - Ramesh Natarajan; Dilip Krishnaswamy (SC, 1995)

Domain Decomposition Using Spectral Expansions of Steklov-Poincaré Operators. - Ramesh Natarajan (SIAM J. Sci. Comput., 1995)

Domain Decomposition using Spectral Expansions of Steklov-Poincaré Operators II: A Matrix Formulation. - Ramesh Natarajan (SIAM J. Sci. Comput., 1997)

An Iterative Scheme for Dense, Complex-Symmetric, Linear Systems in Acoustics Boundary-Element Computations. - Ramesh Natarajan (SIAM J. Sci. Comput., 1998)

A New Approach for Item Choice Recommendations. - Se June Hong; Ramesh Natarajan; Ilana Belitskaya (DaWaK, 2001)

Segmentation-based modeling for advanced targeted marketing. - Chidanand Apté; Eric Bibelnieks; Ramesh Natarajan; Edwin P. D. Pednault; Fateh Tipu; Deb Campbell; Bryan Nelson (KDD, 2001)

Using Simulated Pseudo Data To Speed Up Statistical Predictive Modeling From Massive Data Sets. - Ramesh Natarajan; Edwin P. D. Pednault (SDM, 2001)

Ensemble Modeling Through Multiplicative Adjustment of Class Probability. - Se June Hong; Jonathan R. M. Hosking; Ramesh Natarajan (ICDM, 2002)

Segmented Regression Estimators for Massive Data Sets. - Ramesh Natarajan; Edwin P. D. Pednault (SDM, 2002)

A probabilistic estimation framework for predictive modeling analytics. - Chidanand Apté; Ramesh Natarajan; Edwin P. D. Pednault; Fateh Tipu (IBM Syst. J., 2002)

Data-intensive analytics for predictive modeling. - Chidanand Apté; Se June Hong; Ramesh Natarajan; Edwin P. D. Pednault; Fateh Tipu; Sholom M. Weiss (IBM J. Res. Dev., 2003)

XG: A Data-Driven Computation Grid for Enterprise-Scale Mining. - Radu Sion; Ramesh Natarajan; Inderpal Narang; Wen-Syan Li; Thomas Phan (DEXA, 2005)

XG: A Grid-Enabled Query Processing Engine. - Radu Sion; Ramesh Natarajan; Inderpal Narang; Thomas Phan (EDBT, 2006)

Embedded predictive modeling in a parallel relational database. - Ansgar Dorneich; Ramesh Natarajan; Edwin P. D. Pednault; Fateh Tipu (SAC, 2006)

Middleware and Performance Issues for Computational Finance Applications on Blue Gene/L. - Thomas Phan; Ramesh Natarajan; Satoki Mitsumori; Hao Yu (IPDPS, 2007)

A grid-based approach for enterprise-scale data mining. - Ramesh Natarajan; Radu Sion; Thomas Phan (Future Gener. Comput. Syst., 2007)

A framework for scheduling parallel dbms user-defined programs on an attached high-performance computer. - Michael A. Kochte; Ramesh Natarajan (Conf. Computing Frontiers, 2008)

Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework. - Ramesh Natarajan; Vikas Sindhwani; Shirish Tatikonda (ICDM Workshops, 2009)

Dynamic price optimization models for managing time-of-day electricity usage. - Shivaram Subramanian; Soumyadip Ghosh; Jonathan R. M. Hosking; Ramesh Natarajan; Xiaoxuan Zhang (SmartGridComm, 2013)

A Framework for the Analysis of Probabilistic Demand Response Schemes. - Pavithra Harsha; Mayank Sharma; Ramesh Natarajan; Soumyadip Ghosh (IEEE Trans. Smart Grid, 2013)

Graphical Models for Identifying Fraud and Waste in Healthcare Claims. - Peder A. Olsen; Ramesh Natarajan; Sholom M. Weiss (SDM, 2014)

Managing healthcare costs by peer-group modeling. - Sholom M. Weiss; Casimir A. Kulikowski; Robert S. Galen; Peder A. Olsen; Ramesh Natarajan (Appl. Intell., 2015)

A Prescriptive Machine-Learning Framework to the Price-Setting Newsvendor Problem. - Pavithra Harsha; Ramesh Natarajan; Dharmashankar Subramanian (INFORMS J. Optim., 2021)