V. A. Samaranayake

13 papers B 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2022 J jnl
A Game Theoretic Approach for Addressing Domain-Shift in Big-Data.
IEEE Trans. Big Data
Krishnan Raghavan, Sarangapani Jagannathan, V. A. Samaranayake
2021 J jnl
Distributed Min-Max Learning Scheme for Neural Networks With Applications to High-Dimensional Classification.
IEEE Trans. Neural Networks Learn. Syst.
Raghavan Krishnan, Shweta Garg, Sarangapani Jagannathan, V. A. Samaranayake
2020 — ch.
Direct Error Driven Learning for Classification in Applications Generating Big-Data.
Development and Analysis of Deep Learning Architectures
Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake
2020 J jnl
Direct Error-Driven Learning for Deep Neural Networks With Applications to Big Data.
IEEE Trans. Neural Networks Learn. Syst.
Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake
2019 J jnl
A Hierarchical Dimension Reduction Approach for Big Data with Application to Fault Diagnostics.
Big Data Res.
Raghavan Krishnan, V. A. Samaranayake, Sarangapani Jagannathan
2019 J jnl
A Multi-Step Nonlinear Dimension-Reduction Approach with Applications to Big Data.
IEEE Trans. Knowl. Data Eng.
Raghavan Krishnan, V. A. Samaranayake, Sarangapani Jagannathan
2018 J jnl
A Functional Data Analysis Approach to Traffic Volume Forecasting.
IEEE Trans. Intell. Transp. Syst.
Isaac Michael Wagner-Muns, Ivan G. Guardiola, V. A. Samaranayake, Wasim Irshad Kayani
2018 — conf
A Minimax Approach for Classification with Big-data.
IEEE BigData
Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake
2018 — conf
A Multi-step Nonlinear Dimension-reduction Approach with Applications to Bigdata.
INNS Conference on Big Data
Raghavan Krishnan, V. A. Samaranayake, Sarangapani Jagannathan
2018 — conf
Direct Error Driven Learning for Deep Neural Networks with Applications to Bigdata.
INNS Conference on Big Data
Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake
2018 — conf
Distributed Learning of Deep Sparse Neural Networks for High-dimensional Classification.
IEEE BigData
Shweta Garg, Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake
2017 B conf
Deep learning inspired prognostics scheme for applications generating big data.
IJCNN
Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake
2010 J jnl
Prediction Intervals for Time Series: A Modified Sieve Bootstrap Approach.
Commun. Stat. Simul. Comput.
Purna Mukhopadhyay, V. A. Samaranayake