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ORCIDRajesh Vasa
- > Home > Persons > Rajesh Vasa
Publications
- 2025
[c58]Shangeetha Sivasothy, Scott Barnett, Stefanus Kurniawan, Zafaryab Rasool, Rajesh Vasa:
RAGProbe: Breaking RAG Pipelines with Evaluation Scenarios. CAIN 2025: 60-71- [i21]Srikanth Thudumu, Hy Nguyen, Hung Du, Nhat Duong, Zafaryab Rasool, Rena Logothetis, Scott Barnett, Rajesh Vasa, Kon Mouzakis:
The M-factor: A Novel Metric for Evaluating Neural Architecture Search in Resource-Constrained Environments. CoRR abs/2501.17361 (2025) - 2024
- [j16]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) - [j15]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) - [c56]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 - [i20]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) - [i18]Shangeetha Sivasothy, Scott Barnett, Stefanus Kurniawan, Zafaryab Rasool, Rajesh Vasa:
RAGProbe: An Automated Approach for Evaluating RAG Applications. CoRR abs/2409.19019 (2024) - 2023
- [c53]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 - [c51]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 - [i16]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) - [i15]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) - 2022
- [c50]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 - [c49]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 - [c48]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 - [i11]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
- [c45]Shangeetha Sivasothy, Scott Barnett, Niroshinie Fernando, Rajesh Vasa, Roopak Sinha, Andrew J. Simmons:
Towards a taxonomy for annotation of data science experiment repositories. SCAM 2021: 76-80 - [c44]Alex Cummaudo, Ulrike Maria Graetsch, Maheswaree Kissoon Curumsing, Rajesh Vasa, Scott Barnett, John Grundy:
Emotions in Computer Vision Service Q&A. SEmotion@ICSE 2021: 13-18 - 2020
- [c43]Andrew J. Simmons, Scott Barnett, Jessica Rivera-Villicana, Akshat Bajaj, Rajesh Vasa:
A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects. ESEM 2020: 1:1-1:11 - [c42]Alex Cummaudo, Rajesh Vasa, Scott Barnett, John C. Grundy, Mohamed Abdelrazek:
Interpreting cloud computer vision pain-points: a mining study of stack overflow. ICSE 2020: 1584-1596 - [c41]Alex Cummaudo, Scott Barnett, Rajesh Vasa, John C. Grundy, Mohamed Abdelrazek:
Beware the evolving 'intelligent' web service! an integration architecture tactic to guard AI-first components. ESEC/SIGSOFT FSE 2020: 269-280 - [c40]Alex Cummaudo, Scott Barnett, Rajesh Vasa, John C. Grundy:
Threshy: supporting safe usage of intelligent web services. ESEC/SIGSOFT FSE 2020: 1645-1649 - [i10]Alex Cummaudo, Rajesh Vasa, Scott Barnett, John C. Grundy, Mohamed Abdelrazek:
Interpreting Cloud Computer Vision Pain-Points: A Mining Study of Stack Overflow. CoRR abs/2001.10130 (2020) - [i9]Maheswaree Kissoon Curumsing, Alex Cummaudo, Ulrike Maria Graetsch, Scott Barnett, Rajesh Vasa:
Ranking Computer Vision Service Issues using Emotion. CoRR abs/2004.03120 (2020) - [i8]Alex Cummaudo, Scott Barnett, Rajesh Vasa, John C. Grundy, Mohamed Abdelrazek:
Beware the evolving 'intelligent' web service! An integration architecture tactic to guard AI-first components. CoRR abs/2005.13186 (2020) - [i7]Andrew J. Simmons, Scott Barnett, Jessica Rivera-Villicana, Akshat Bajaj, Rajesh Vasa:
A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects. CoRR abs/2007.08978 (2020) - [i6]Alex Cummaudo, Scott Barnett, Rajesh Vasa, John C. Grundy:
Threshy: Supporting Safe Usage of Intelligent Web Services. CoRR abs/2008.08252 (2020) - 2019
- [j9]Scott Barnett, Iman Avazpour, Rajesh Vasa, John Grundy:
Supporting multi-view development for mobile applications. J. Comput. Lang. 51: 88-96 (2019) - 2018
- [i2]Andrew J. Simmons, Scott Barnett, Simon Vajda, Rajesh Vasa:
Data Provenance for Sport. CoRR abs/1812.05804 (2018) - 2015
- [c19]Scott Barnett, Rajesh Vasa, John Grundy:
Bootstrapping Mobile App Development. ICSE (2) 2015: 657-660 - [c17]Scott Barnett, Iman Avazpour, Rajesh Vasa, John C. Grundy:
A multi-view framework for generating mobile apps. VL/HCC 2015: 305-306 - [c16]Scott Barnett, Rajesh Vasa, Antony Tang:
A Conceptual Model for Architecting Mobile Applications. WICSA 2015: 105-114
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last updated on 2025-08-06 23:08 CEST by the dblp team
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