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V. A. Samaranayake
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2020 – today
- 2022
- [j7]Krishnan Raghavan, Sarangapani Jagannathan, V. A. Samaranayake:
A Game Theoretic Approach for Addressing Domain-Shift in Big-Data. IEEE Trans. Big Data 8(6): 1610-1621 (2022) - 2021
- [j6]Raghavan Krishnan, Shweta Garg, Sarangapani Jagannathan, V. A. Samaranayake:
Distributed Min-Max Learning Scheme for Neural Networks With Applications to High-Dimensional Classification. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4323-4333 (2021) - 2020
- [j5]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Direct Error-Driven Learning for Deep Neural Networks With Applications to Big Data. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1763-1770 (2020) - [p1]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Direct Error Driven Learning for Classification in Applications Generating Big-Data. Development and Analysis of Deep Learning Architectures 2020: 1-29
2010 – 2019
- 2019
- [j4]Raghavan Krishnan, V. A. Samaranayake, Sarangapani Jagannathan:
A Hierarchical Dimension Reduction Approach for Big Data with Application to Fault Diagnostics. Big Data Res. 18 (2019) - [j3]Raghavan Krishnan, V. A. Samaranayake, Sarangapani Jagannathan:
A Multi-Step Nonlinear Dimension-Reduction Approach with Applications to Big Data. IEEE Trans. Knowl. Data Eng. 31(12): 2249-2261 (2019) - 2018
- [j2]Isaac Michael Wagner-Muns, Ivan G. Guardiola, V. A. Samaranayake, Wasim Irshad Kayani:
A Functional Data Analysis Approach to Traffic Volume Forecasting. IEEE Trans. Intell. Transp. Syst. 19(3): 878-888 (2018) - [c5]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
A Minimax Approach for Classification with Big-data. IEEE BigData 2018: 1437-1444 - [c4]Shweta Garg, Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Distributed Learning of Deep Sparse Neural Networks for High-dimensional Classification. IEEE BigData 2018: 1587-1592 - [c3]Raghavan Krishnan, V. A. Samaranayake, Sarangapani Jagannathan:
A Multi-step Nonlinear Dimension-reduction Approach with Applications to Bigdata. INNS Conference on Big Data 2018: 81-88 - [c2]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Direct Error Driven Learning for Deep Neural Networks with Applications to Bigdata. INNS Conference on Big Data 2018: 89-95 - 2017
- [c1]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Deep learning inspired prognostics scheme for applications generating big data. IJCNN 2017: 3296-3302 - 2010
- [j1]Purna Mukhopadhyay, V. A. Samaranayake:
Prediction Intervals for Time Series: A Modified Sieve Bootstrap Approach. Commun. Stat. Simul. Comput. 39(3): 517-538 (2010)
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