| 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 | 420 | 2020 |
| Seven failure points when engineering a retrieval augmented generation system S Barnett, S Kurniawan, S Thudumu, Z Brannelly, M Abdelrazek Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering …, 2024 | 59 | 2024 |
| 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 | 14 | |
| A comprehensive survey of anomaly detection techniques for high dimensional big data. J Big Data 7, 42 (2020) S Thudumu, P Branch, J Jin, JJ Singh | 13 | |
| 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 | 9 | 2024 |
| 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 | 9* | 2020 |
| 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 | 8 | 2023 |
| 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 | 7 | 2024 |
| 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 | 7 | 2023 |
| 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 | 7 | 2023 |
| 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 | 7 | 2020 |
| 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 | 5 | 2019 |
| B2p2: A scalable big bioacoustic processing platform S Thudumu, S Garg, J Montgomery 2016 IEEE 18th International Conference on High Performance Computing and …, 2016 | 5 | 2016 |
| 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 | 5 | |
| 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 | 4 | 2022 |
| Jugdutt (Jack) Singh S Thudumu, P Branch, J Jin A comprehensive survey of anomaly detection techniques for high dimensional …, 2020 | 3 | 2020 |
| 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, 1-30, 0 | 3 | |
| Llms for test input generation for semantic applications Z Rasool, S Barnett, D Willie, S Kurniawan, S Balugo, S Thudumu, ... Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering …, 2024 | 2 | 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 | 2 | 2024 |
| 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 | 2 | 2022 |
Rajesh VasaHead of Translational Research, Applied Artificial Intelligence Institute, Deakin UniversityVerifisert e-postadresse på deakin.edu.au
