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Raghavan Krishnan
ORCID
Publication Activity (10 Years)
Years Active: 2015-2021
Publications (10 Years): 11
Top Topics
Driven Learning
Big Data
Knn
Cooperative
Top Venues
IEEE BigData
IEEE Trans. Neural Networks Learn. Syst.
INNS Conference on Big Data
IJCNN
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Publications
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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) (2021)
Raghavan Krishnan
,
Vignesh Narayanan
,
Jagannathan Sarangapani
Cooperative Deep Q-learning Framework for Environments Providing Image Feedback.
CoRR
(2021)
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) (2020)
Rohollah Moghadam
,
Pappa Natarajan
,
Raghavan Krishnan
,
Sarangapani Jagannathan
Online Optimal Adaptive Control of a Class of Uncertain Nonlinear Discrete-time Systems.
IJCNN
(2020)
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) (2019)
Raghavan Krishnan
,
V. A. Samaranayake
,
S. Jagannathan
A Hierarchical Dimension Reduction Approach for Big Data with Application to Fault Diagnostics.
Big Data Res.
18 (2019)
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)
Shweta Garg
,
Raghavan Krishnan
,
Sarangapani Jagannathan
,
V. A. Samaranayake
Distributed Learning of Deep Sparse Neural Networks for High-dimensional Classification.
IEEE BigData
(2018)
Raghavan Krishnan
,
V. A. Samaranayake
,
Sarangapani Jagannathan
A Multi-step Nonlinear Dimension-reduction Approach with Applications to Bigdata.
INNS Conference on Big Data
(2018)
Raghavan Krishnan
,
Sarangapani Jagannathan
,
V. A. Samaranayake
A Minimax Approach for Classification with Big-data.
IEEE BigData
(2018)
Raghavan Krishnan
,
Sarangapani Jagannathan
,
V. A. Samaranayake
Deep learning inspired prognostics scheme for applications generating big data.
IJCNN
(2017)
Raghavan Krishnan
,
Sarangapani Jagannathan
Hierarchical Mahalanobis Distance Clustering Based Technique for Prognostics in Applications Generating Big Data.
SSCI
(2015)