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Scott Barnett
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2020 – today
- 2024
- [j5]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) - [j4]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) - [c22]Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz:
Green Runner: A Tool for Efficient Deep Learning Component Selection. CAIN 2024: 112-117 - [c21]Zafaryab Rasool, Scott Barnett, David Willie, Stefanus Kurniawan, Sherwin Balugo, Srikanth Thudumu, Mohamed Abdelrazek:
LLMs for Test Input Generation for Semantic Applications. CAIN 2024: 160-165 - [c20]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 - [c19]Scott Barnett, Stefanus Kurniawan, Srikanth Thudumu, Zach Brannelly, Mohamed Abdelrazek:
Seven Failure Points When Engineering a Retrieval Augmented Generation System. CAIN 2024: 194-199 - [i17]Scott Barnett, Stefanus Kurniawan, Srikanth Thudumu, Zach Brannelly, Mohamed Abdelrazek:
Seven Failure Points When Engineering a Retrieval Augmented Generation System. CoRR abs/2401.05856 (2024) - [i16]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) - [i15]Zafaryab Rasool, Scott Barnett, David Willie, Stefanus Kurniawan, Sherwin Balugo, Srikanth Thudumu, Mohamed Almorsy Abdelrazek:
LLMs for Test Input Generation for Semantic Caches. CoRR abs/2401.08138 (2024) - [i14]Shangeetha Sivasothy, Scott Barnett, Rena Logothetis, Mohamed Abdelrazek, Zafaryab Rasool, Srikanth Thudumu, Zach Brannelly:
Large language models for generating rules, yay or nay? CoRR abs/2406.06835 (2024) - [i13]Scott Barnett, Zach Brannelly, Stefanus Kurniawan, Sheng Wong:
Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models. CoRR abs/2406.11201 (2024) - [i12]Anj Simmons, Scott Barnett, Anupam Chaudhuri, Sankhya Singh, Shangeetha Sivasothy:
Minimising changes to audit when updating decision trees. CoRR abs/2408.16321 (2024) - 2023
- [j3]Ben Joseph Philip, Mohamed Almorsy Abdelrazek, Scott Barnett, Alessio Bonti, John Grundy:
Toward a Unified mHealth Platform: A Survey of Current User Challenges and Expectations. IEEE Access 11: 19876-19891 (2023) - [j2]Sheng Wong, Anj Simmons, Jessica Rivera-Villicana, Scott Barnett:
Estimating Patient-Level Uncertainty in Seizure Detection Using Group-Specific Out-of-Distribution Detection Technique. Sensors 23(20): 8375 (2023) - [c18]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 - [c17]Ben Joseph Philip, Yasmeen Anjeer Alshehhi, Mohamed Abdelrazek, Scott Barnett, Alessio Bonti, John Grundy:
mHealthSwarm: A Unified Platform for mHealth Applications. ENASE 2023: 605-612 - [c16]Tamal Mondal, Scott Barnett, Akash Lal, Jyothi Vedurada:
Cell2Doc: ML Pipeline for Generating Documentation in Computational Notebooks. ASE 2023: 384-396 - [c15]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 - [i11]Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz:
Green Runner: A tool for efficient model selection from model repositories. CoRR abs/2305.16849 (2023) - [i10]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) - [i9]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
- [c14]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 - [c13]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 - [c12]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 - [c11]Jai Kannan, Scott Barnett, Luis Cruz, Anj Simmons, Akash Agarwal:
MLSmellHound: A Context-Aware Code Analysis Tool. ICSE (NIER) 2022: 66-70 - [c10]Ben Joseph Philip, Mohamed Abdelrazek, Scott Barnett, Alessio Bonti, John C. Grundy:
Towards Better mHealth Apps: Understanding Current Challenges and User Expectations. MOBILESoft 2022: 33-37 - [i8]Jai Kannan, Scott Barnett, Luís Cruz, Anj Simmons, Akash Agarwal:
MLSmellHound: A Context-Aware Code Analysis Tool. CoRR abs/2205.03790 (2022) - [i7]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
- [c9]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 - [c8]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
- [c7]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 - [c6]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 - [c5]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 - [c4]Alex Cummaudo, Scott Barnett, Rajesh Vasa, John C. Grundy:
Threshy: supporting safe usage of intelligent web services. ESEC/SIGSOFT FSE 2020: 1645-1649 - [i6]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) - [i5]Maheswaree Kissoon Curumsing, Alex Cummaudo, Ulrike Maria Graetsch, Scott Barnett, Rajesh Vasa:
Ranking Computer Vision Service Issues using Emotion. CoRR abs/2004.03120 (2020) - [i4]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) - [i3]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) - [i2]Alex Cummaudo, Scott Barnett, Rajesh Vasa, John C. Grundy:
Threshy: Supporting Safe Usage of Intelligent Web Services. CoRR abs/2008.08252 (2020)
2010 – 2019
- 2019
- [j1]Scott Barnett, Iman Avazpour, Rajesh Vasa, John Grundy:
Supporting multi-view development for mobile applications. J. Comput. Lang. 51: 88-96 (2019) - 2018
- [i1]Andrew J. Simmons, Scott Barnett, Simon Vajda, Rajesh Vasa:
Data Provenance for Sport. CoRR abs/1812.05804 (2018) - 2015
- [c3]Scott Barnett, Rajesh Vasa, John Grundy:
Bootstrapping Mobile App Development. ICSE (2) 2015: 657-660 - [c2]Scott Barnett, Iman Avazpour, Rajesh Vasa, John C. Grundy:
A multi-view framework for generating mobile apps. VL/HCC 2015: 305-306 - [c1]Scott Barnett, Rajesh Vasa, Antony Tang:
A Conceptual Model for Architecting Mobile Applications. WICSA 2015: 105-114
Coauthor Index
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last updated on 2024-09-30 00:58 CEST by the dblp team
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