Srikanth Thudumu

According to our database, Srikanth Thudumu authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions.

Hung Du, Srikanth Thudumu, Rajesh Vasa, Kon Mouzakis

CoRR, 2024

LLMs for Test Input Generation for Semantic Caches.

Zafaryab Rasool, Scott Barnett, David Willie, Stefanus Kurniawan, Sherwin Balugo, Srikanth Thudumu, Mohamed Almorsy Abdelrazek

CoRR, 2024

Seven Failure Points When Engineering a Retrieval Augmented Generation System.

Scott Barnett, Stefanus Kurniawan, Srikanth Thudumu, Zach Brannelly, Mohamed Abdelrazek

CoRR, 2024

2023

Contextual topic discovery using unsupervised keyphrase extraction and hierarchical semantic graph model.

Hung Du, Srikanth Thudumu, Antonio Giardina, Rajesh Vasa, Kon Mouzakis, Li Jiang, John Chisholm, Sanat Bista

J. Big Data, December, 2023

UAV Dynamic Object Tracking with Lightweight Deep Vision Reinforcement Learning.

Hy Nguyen, Srikanth Thudumu, Hung Du, Kon Mouzakis, Rajesh Vasa

Algorithms, 2023

Decentralized Federated Learning Strategy with Image Classification using ResNet Architecture.

Hung Du, Srikanth Thudumu, Sankhya Singh, Scott Barnett, Irini Logothetis, Rajesh Vasa, Kon Mouzakis

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

An Integrated Federated Learning and Meta-Learning Approach for Mining Operations.

Venkat Munagala, Sankhya Singh, Srikanth Thudumu, Irini Logothetis, Sushil Bhandari, Amit Bhandari, Kon Mouzakis, Rajesh Vasa

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Subspace based Anomaly Detection Framework for Point Clouds.

Johnahan Van Zyl, Hung Du, Srikanth Thudumu, Irini Logothetis, Scott Barnett, Rajesh Vasa, Kon Mouzakis

Proceedings of the 18th IEEE International Conference on e-Science, 2022

PiMS: A Pre-ML Labelling Tool.

Irini Logothetis, Scott Barnett, Leonard Hoon, Srikanth Thudumu, Joseph Mathew, Carl Luckhoff, Gerard O'Reilly, David Collard, Rajesh Vasa, Kon Mouzakis, Mark Fitzgerald

Proceedings of the 18th IEEE International Conference on e-Science, 2022

A Framework for Evaluating MRC Approaches with Unanswerable Questions.

Hung Du, Srikanth Thudumu, Sankhya Singh, Scott Barnett, Irini Logothetis, Rajesh Vasa, Kon Mouzakis

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2020

A comprehensive survey of anomaly detection techniques for high dimensional big data.

Srikanth Thudumu, Philip Branch, Jiong Jin, Jugdutt Jack Singh

J. Big Data, 2020

Estimation of Locally Relevant Subspace in High-dimensional Data.

Srikanth Thudumu, Philip Branch, Jiong Jin, Jugdutt Singh

Proceedings of the Australasian Computer Science Week, 2020

2019

Adaptive Clustering for Outlier Identification in High-Dimensional Data.

Srikanth Thudumu, Philip Branch, Jiong Jin, Jugdutt Jack Singh

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

Elicitation of Candidate Subspaces in High-Dimensional Data.

Srikanth Thudumu, Philip Branch, Jiong Jin, Jugdutt Singh

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2016

B2P2: A Scalable Big Bioacoustic Processing Platform.

Srikanth Thudumu, Saurabh Kumar Garg, James Montgomery

Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016