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2020 – today
- 2023
[c6]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- [c5]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 - [c4]Aleksandar Pasquini, Rajesh Vasa, Hassan Habibi Gharakheili, Irini Logothetis, Minh Tran, Alexander Chambers:
Exploring the Reliability of IoT Packet Classifiers: An Experimental Study. GLOBECOM (Workshops) 2023: 596-601 - [i1]Irini Logothetis, Priya Rani, Shangeetha Sivasothy, Rajesh Vasa, Kon Mouzakis:
Smart Home Goal Feature Model - A guide to support Smart Homes for Ageing in Place. CoRR abs/2311.09248 (2023) - 2022
- [c3]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 - [c2]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 - [c1]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
Coauthor Index
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