Srikanth Thudumu - Google Scholar

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201820192020202120222 3 9 48 20

Co-authors

Jiong JinAssociate Professor, Swinburne University of Technology, Melbourne, AustraliaVerified email at swin.edu.au
Philip BranchAssociate Professor, Swinburne University of TechnologyVerified email at swin.edu.au
Saurabh GargSchool of Computing and Information Systems, University of TasmaniaVerified email at utas.edu.au
James MontgomeryUniversity of TasmaniaVerified email at utas.edu.au

Srikanth Thudumu

Srikanth Thudumu

Postdoctoral Research Fellow at A²I² - Applied Artificial Intelligence Institute, Deakin University

Verified email at deakin.edu.au

Artificial Intelligence (AI)Applied AI Industrial AI Machine Learning Big Data


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A comprehensive survey of anomaly detection techniques for high dimensional big data S Thudumu, P Branch, J Jin, JJ Singh Journal of Big Data 7 (1), 1-30, 2020	73	2020
B2p2: A scalable big bioacoustic processing platform S Thudumu, S Garg, J Montgomery 2016 IEEE 18th International Conference on High Performance Computing and …, 2016	4	2016
Adaptive clustering for outlier identification in high-dimensional data S Thudumu, P Branch, J Jin, JJ Singh International Conference on Algorithms and Architectures for Parallel …, 2019	2*	2019
Elicitation of candidate subspaces in high-dimensional data S Thudumu, P Branch, J Jin, J Singh 2019 IEEE 21st International Conference on High Performance Computing and …, 2019	2	2019
Estimation of locally relevant subspace in high-dimensional data S Thudumu, P Branch, J Jin, J Singh Proceedings of the Australasian computer science week multiconference, 1-6, 2020	1	2020
Anomaly Detection in High-dimensional Big Data S Thudumu Swinburne University of Technology, 2021		2021

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Articles 1–6