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ORCIDSrikanth Thudumu
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2020 – today
- 2024
[c11]Zafaryab Rasool
, Scott Barnett, David Willie, Stefanus Kurniawan, Sherwin Balugo, Srikanth Thudumu, Mohamed Abdelrazek:
LLMs for Test Input Generation for Semantic Applications. CAIN 2024: 160-165- [c10]Scott Barnett, Stefanus Kurniawan, Srikanth Thudumu, Zach Brannelly, Mohamed Abdelrazek:
Seven Failure Points When Engineering a Retrieval Augmented Generation System. CAIN 2024: 194-199 - [i4]Scott Barnett, Stefanus Kurniawan, Srikanth Thudumu, Zach Brannelly, Mohamed Abdelrazek:
Seven Failure Points When Engineering a Retrieval Augmented Generation System. CoRR abs/2401.05856 (2024) - [i3]Zafaryab Rasool, Scott Barnett, David Willie, Stefanus Kurniawan, Sherwin Balugo, Srikanth Thudumu, Mohamed Almorsy Abdelrazek:
LLMs for Test Input Generation for Semantic Caches. CoRR abs/2401.08138 (2024) - [i2]Hung Du, Srikanth Thudumu, Rajesh Vasa, Kon Mouzakis:
A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions. CoRR abs/2402.01968 (2024) - [i1]Shangeetha Sivasothy, Scott Barnett, Rena Logothetis, Mohamed Abdelrazek, Zafaryab Rasool, Srikanth Thudumu, Zach Brannelly:
Large language models for generating rules, yay or nay? CoRR abs/2406.06835 (2024) - 2023
- [j3]Hy Nguyen, Srikanth Thudumu, Hung Du, Kon Mouzakis, Rajesh Vasa:
UAV Dynamic Object Tracking with Lightweight Deep Vision Reinforcement Learning. Algorithms 16(5): 227 (2023) - [j2]Hung Du, Srikanth Thudumu, Antonio Giardina, Rajesh Vasa, Kon Mouzakis, Li Jiang, John Chisholm, Sanat Bista:
Contextual topic discovery using unsupervised keyphrase extraction and hierarchical semantic graph model. J. Big Data 10(1): 156 (2023) - [c9]Venkat Munagala, Sankhya Singh, Srikanth Thudumu, Irini Logothetis, Sushil Bhandari, Amit Bhandari, Kon Mouzakis, Rajesh Vasa:
An Integrated Federated Learning and Meta-Learning Approach for Mining Operations. AI (1) 2023: 379-390 - [c8]Hung Du, Srikanth Thudumu, Sankhya Singh, Scott Barnett, Irini Logothetis, Rajesh Vasa, Kon Mouzakis:
Decentralized Federated Learning Strategy with Image Classification using ResNet Architecture. CCNC 2023: 706-707 - 2022
- [c7]Johnahan Van Zyl, Hung Du, Srikanth Thudumu, Irini Logothetis, Scott Barnett, Rajesh Vasa, Kon Mouzakis:
Subspace based Anomaly Detection Framework for Point Clouds. e-Science 2022: 316-325 - [c6]Irini Logothetis, Scott Barnett, Leonard Hoon, Srikanth Thudumu, Joseph Mathew, Carl Luckhoff, Gerard O'Reilly, David Collard, Rajesh Vasa, Kon Mouzakis, Mark Fitzgerald:
PiMS: A Pre-ML Labelling Tool. e-Science 2022: 431-432 - [c5]Hung Du, Srikanth Thudumu, Sankhya Singh, Scott Barnett, Irini Logothetis, Rajesh Vasa, Kon Mouzakis:
A Framework for Evaluating MRC Approaches with Unanswerable Questions. e-Science 2022: 435-436 - 2020
- [j1]Srikanth Thudumu, Philip Branch, Jiong Jin, Jugdutt Jack Singh:
A comprehensive survey of anomaly detection techniques for high dimensional big data. J. Big Data 7(1): 42 (2020) - [c4]Srikanth Thudumu, Philip Branch, Jiong Jin, Jugdutt Singh:
Estimation of Locally Relevant Subspace in High-dimensional Data. ACSW 2020: 15:1-15:6
2010 – 2019
- 2019
- [c3]Srikanth Thudumu, Philip Branch, Jiong Jin, Jugdutt Singh:
Elicitation of Candidate Subspaces in High-Dimensional Data. HPCC/SmartCity/DSS 2019: 1995-2000 - [c2]Srikanth Thudumu, Philip Branch, Jiong Jin, Jugdutt Jack Singh:
Adaptive Clustering for Outlier Identification in High-Dimensional Data. ICA3PP (2) 2019: 215-228 - 2016
- [c1]Srikanth Thudumu, Saurabh Kumar Garg, James Montgomery:
B2P2: A Scalable Big Bioacoustic Processing Platform. HPCC/SmartCity/DSS 2016: 1211-1217
Coauthor Index
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