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Publication search results
found 126 matches
- 2024
- Tuan Dung Lai, Anj Simmons, Scott Barnett, Jean-Guy Schneider, Rajesh Vasa:
Comparative analysis of real issues in open-source machine learning projects. Empir. Softw. Eng. 29(3): 60 (2024) - P. Rajesh, Praveen Kumar Gandla, D. S. Robinson Smart, Sunil Vasant Prayagi:
Production of power and fresh water using renewable energy with thermal energy storage based on fire hawk optimization. Intell. Decis. Technol. 18(1): 509-532 (2024) - Zafaryab Rasool, Stefanus Kurniawan, Sherwin Balugo, Scott Barnett, Rajesh Vasa, Courtney Chesser, Benjamin M. Hampstead, Sylvie Belleville, Kon Mouzakis, Alex Bahar-Fuchs:
Evaluating LLMs on document-based QA: Exact answer selection and numerical extraction using CogTale dataset. Nat. Lang. Process. J. 8: 100083 (2024) - Hala Abdelkader, Mohamed Abdelrazek, Scott Barnett, Jean-Guy Schneider, Priya Rani, Rajesh Vasa:
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems - A Case Study. CAIN 2024: 178-183 - Hala Abdelkader, Mohamed Abdelrazek, Scott Barnett, Jean-Guy Schneider, Priya Rani, Rajesh Vasa:
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study. CoRR abs/2401.06513 (2024) - 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) - 2023
- 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) - 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) - Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath:
Model-Free Reinforcement Learning for Mean Field Games. IEEE Trans. Control. Netw. Syst. 10(4): 2141-2151 (2023) - Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim:
Linear Coding for AWGN Channels With Noisy Output Feedback via Dynamic Programming. IEEE Trans. Inf. Theory 69(8): 4889-4906 (2023) - 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 - 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 - 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 - Sheng Wong, Scott Barnett, Jessica Rivera-Villicana, Anj Simmons, Hala Abdelkader, Jean-Guy Schneider, Rajesh Vasa:
MLGuard: Defend Your Machine Learning Model! SE4SafeML@SIGSOFT FSE 2023: 10-13 - Anj Simmons, Rajesh Vasa:
Garbage in, garbage out: Zero-shot detection of crime using Large Language Models. CoRR abs/2307.06844 (2023) - Sheng Wong, Scott Barnett, Jessica Rivera-Villicana, Anj Simmons, Hala Abdelkader, Jean-Guy Schneider, Rajesh Vasa:
MLGuard: Defend Your Machine Learning Model! CoRR abs/2309.01379 (2023) - Zafaryab Rasool, Scott Barnett, Stefanus Kurniawan, Sherwin Balugo, Rajesh Vasa, Courtney Chesser, Alex Bahar-Fuchs:
Evaluating LLMs on Document-Based QA: Exact Answer Selection and Numerical Extraction using Cogtale dataset. CoRR abs/2311.07878 (2023) - 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
- Alex Cummaudo, Rajesh Vasa, John C. Grundy, Mohamed Abdelrazek:
Requirements of API Documentation: A Case Study into Computer Vision Services. IEEE Trans. Software Eng. 48(6): 2010-2027 (2022) - 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 - 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 - 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 - Anj Simmons, Rajesh Vasa, Antonio Giardina:
SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations. ISWC (Posters/Demos/Industry) 2022 - Anj Simmons, Rajesh Vasa:
Signal Knowledge Graph. CoRR abs/2206.12111 (2022) - Anj Simmons, Rajesh Vasa, Antonio Giardina:
SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations. CoRR abs/2208.05627 (2022) - Tuan Dung Lai, Anj Simmons, Scott Barnett, Jean-Guy Schneider, Rajesh Vasa:
Comparative analysis of real bugs in open-source Machine Learning projects - A Registered Report. CoRR abs/2209.09932 (2022) - 2021
- Srinarayana Nagarathinam, Arunchandar Vasan, Venkatesh Sarangan, Rajesh Jayaprakash, Anand Sivasubramaniam:
User Placement and Optimal Cooling Energy for Co-working Building Spaces. ACM Trans. Cyber Phys. Syst. 5(2): 21:1-21:24 (2021) - R. Rajesh Kannan, S. Vasantha:
COVID 19 Outbreaks on the Growth of Self Servicing Technology Using Digital Payments. Webology 18(2): 22-40 (2021) - Deepanshu Vasal, Rajesh K. Mishra, Sriram Vishwanath:
Sequential Decomposition of Graphon Mean Field Games. ACC 2021: 730-736 - Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath:
Decentralized Multi-agent Reinforcement Learning with Shared Actions. CISS 2021: 1-6
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