Prediction Intervals for Time Series: A Modified Sieve Bootstrap Approach. - Purna Mukhopadhyay; V. A. Samaranayake (Commun. Stat. Simul. Comput., 2010)

Deep learning inspired prognostics scheme for applications generating big data. - Raghavan Krishnan; Sarangapani Jagannathan; V. A. Samaranayake (IJCNN, 2017)

Distributed Learning of Deep Sparse Neural Networks for High-dimensional Classification. - Shweta Garg 003; Raghavan Krishnan; Sarangapani Jagannathan; V. A. Samaranayake (IEEE BigData, 2018)

A Minimax Approach for Classification with Big-data. - Raghavan Krishnan; Sarangapani Jagannathan; V. A. Samaranayake (IEEE BigData, 2018)

Direct Error Driven Learning for Deep Neural Networks with Applications to Bigdata. - Raghavan Krishnan; Sarangapani Jagannathan; V. A. Samaranayake (INNS Conference on Big Data, 2018)

A Multi-step Nonlinear Dimension-reduction Approach with Applications to Bigdata. - Raghavan Krishnan; V. A. Samaranayake; Sarangapani Jagannathan (INNS Conference on Big Data, 2018)

A Functional Data Analysis Approach to Traffic Volume Forecasting. - Isaac Michael Wagner-Muns; Ivan G. Guardiola; V. A. Samaranayake; Wasim Irshad Kayani (IEEE Trans. Intell. Transp. Syst., 2018)

A Hierarchical Dimension Reduction Approach for Big Data with Application to Fault Diagnostics. - Raghavan Krishnan; V. A. Samaranayake; Sarangapani Jagannathan (Big Data Res., 2019)

A Multi-Step Nonlinear Dimension-Reduction Approach with Applications to Big Data. - Raghavan Krishnan; V. A. Samaranayake; Sarangapani Jagannathan (IEEE Trans. Knowl. Data Eng., 2019)

Direct Error-Driven Learning for Deep Neural Networks With Applications to Big Data. - Raghavan Krishnan; Sarangapani Jagannathan; V. A. Samaranayake (IEEE Trans. Neural Networks Learn. Syst., 2020)

Direct Error Driven Learning for Classification in Applications Generating Big-Data. - Raghavan Krishnan; Sarangapani Jagannathan; V. A. Samaranayake (Development and Analysis of Deep Learning Architectures, 2020)

Distributed Min-Max Learning Scheme for Neural Networks With Applications to High-Dimensional Classification. - Raghavan Krishnan; Shweta Garg 003; Sarangapani Jagannathan; V. A. Samaranayake (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Game Theoretic Approach for Addressing Domain-Shift in Big-Data. - Krishnan Raghavan; Sarangapani Jagannathan; V. A. Samaranayake (IEEE Trans. Big Data, 2022)