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Srikanth Thudumu
Srikanth Thudumu
Senior Research Fellow at the Applied Artificial Intelligence Institute (AČIČ), Deakin University
Verified email at deakin.edu.au - Homepage
Title
Cited by
Cited by
Year
A comprehensive survey of anomaly detection techniques for high dimensional big data
S Thudumu, P Branch, J Jin, J Singh
Journal of Big Data 7, 1-30, 2020
2812020
A comprehensive survey of anomaly detection techniques for high dimensional big data. J. Big Data 7 (1), 1–30 (2020)
S Thudumu, P Branch, J Jin, JJ Singh
13
Adaptive clustering for outlier identification in high-dimensional data
S Thudumu, P Branch, J Jin, J Singh
Algorithms and Architectures for Parallel Processing: 19th International …, 2020
8*2020
A comprehensive survey of anomaly detection techniques for high dimensional big data. J Big Data 7, 42 (2020)
S Thudumu, P Branch, J Jin
8
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
52020
B2p2: A scalable big bioacoustic processing platform
S Thudumu, S Garg, J Montgomery
2016 IEEE 18th International Conference on High Performance Computing and …, 2016
52016
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
42019
Seven failure points when engineering a retrieval augmented generation system
S Barnett, S Kurniawan, S Thudumu, Z Brannelly, M Abdelrazek
arXiv preprint arXiv:2401.05856, 2024
32024
Jugdutt (Jack) Singh. A comprehensive survey of anomaly detection techniques for high dimensional big data
S Thudumu, P Branch, J Jin
Journal of Big Data 7, 0
3
A comprehensive survey of anomaly detection techniques for high dimensional big data. J. Big Data 7 (1)(2020)
S Thudumu, P Branch, J Jin, J Singh
3
Jugdutt (Jack) Singh
S Thudumu, P Branch, J Jin
A comprehensive survey of anomaly detection techniques for high dimensional …, 2020
22020
Contextual topic discovery using unsupervised keyphrase extraction and hierarchical semantic graph model
H Du, S Thudumu, A Giardina, R Vasa, K Mouzakis, L Jiang, J Chisholm, ...
Journal of Big Data 10 (1), 156, 2023
12023
UAV dynamic object tracking with Lightweight Deep Vision Reinforcement Learning
H Nguyen, S Thudumu, H Du, K Mouzakis, R Vasa
Algorithms 16 (5), 227, 2023
12023
Decentralized Federated Learning Strategy with Image Classification using ResNet Architecture
H Du, S Thudumu, S Singh, S Barnett, I Logothetis, R Vasa, K Mouzakis
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 706-707, 2023
12023
Subspace based Anomaly Detection Framework for Point Clouds
J Van Zyl, H Du, S Thudumu, I Logothetis, S Barnett, R Vasa, K Mouzakis
2022 IEEE 18th International Conference on e-Science (e-Science), 316-325, 2022
12022
PiMS: A Pre-ML Labelling Tool
I Logothetis, S Barnett, L Hoon, S Thudumu, J Mathew, C Luckhoff, ...
2022 IEEE 18th International Conference on e-Science (e-Science), 431-432, 2022
12022
A comprehensive survey on machine learning applications for drilling and blasting in surface mining
V Munagala, S Thudumu, I Logothetis, S Bhandari, R Vasa, K Mouzakis
Machine Learning with Applications 15, 100517, 2024
2024
A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions
H Du, S Thudumu, R Vasa, K Mouzakis
arXiv preprint arXiv:2402.01968, 2024
2024
LLMs for Test Input Generation for Semantic Caches
Z Rasool, S Barnett, D Willie, S Kurniawan, S Balugo, S Thudumu, ...
arXiv preprint arXiv:2401.08138, 2024
2024
An Integrated Federated Learning and Meta-Learning Approach for Mining Operations
V Munagala, S Singh, S Thudumu, I Logothetis, S Bhandari, A Bhandari, ...
Australasian Joint Conference on Artificial Intelligence, 379-390, 2023
2023
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