Srikanth Thudumu

Orcid: 0000-0002-7848-9008

According to our database1, Srikanth Thudumu authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Large language models for generating rules, yay or nay?
CoRR, 2024

A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions.
CoRR, 2024

LLMs for Test Input Generation for Semantic Caches.
CoRR, 2024

LLMs for Test Input Generation for Semantic Applications.
Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

Seven Failure Points When Engineering a Retrieval Augmented Generation System.
Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

2023
Contextual topic discovery using unsupervised keyphrase extraction and hierarchical semantic graph model.
J. Big Data, December, 2023

UAV Dynamic Object Tracking with Lightweight Deep Vision Reinforcement Learning.
Algorithms, 2023

Decentralized Federated Learning Strategy with Image Classification using ResNet Architecture.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

An Integrated Federated Learning and Meta-Learning Approach for Mining Operations.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
Subspace based Anomaly Detection Framework for Point Clouds.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

PiMS: A Pre-ML Labelling Tool.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

A Framework for Evaluating MRC Approaches with Unanswerable Questions.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2020
A comprehensive survey of anomaly detection techniques for high dimensional big data.
J. Big Data, 2020

Estimation of Locally Relevant Subspace in High-dimensional Data.
Proceedings of the Australasian Computer Science Week, 2020

2019
Adaptive Clustering for Outlier Identification in High-Dimensional Data.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

Elicitation of Candidate Subspaces in High-Dimensional Data.
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.
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


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