Scott Barnett
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
6
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICSE | TaskEval: Synthesised Evaluation for Foundation-Model Tasks. | Dilani Widanapathiranage, Scott Barnett, Stefanus Kurniawan, Wannita Takerngsaksiri |
| 2025 | CAIN | RAGProbe: Breaking RAG Pipelines with Evaluation Scenarios. | Shangeetha Sivasothy, Scott Barnett, Stefanus Kurniawan, Zafaryab Rasool, Rajesh Vasa |
| 2024 | AusDM | A Novel Vision-Based Transformer for Seizure Detection with Multi-biosignals. | Sheng Wong, Scott Barnett, Shobi Sivathamboo, Piero Perucca, Zongyuan Ge, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien |
| 2024 | CAIN | ML-On-Rails: Safeguarding Machine Learning Models in Software Systems - A Case Study. | Hala Abdelkader, Mohamed Abdelrazek, Scott Barnett, Jean-Guy Schneider, Priya Rani, Rajesh Vasa |
| 2024 | CAIN | Seven Failure Points When Engineering a Retrieval Augmented Generation System. | Scott Barnett, Stefanus Kurniawan, Srikanth Thudumu, Zach Brannelly, Mohamed Abdelrazek |
| 2024 | CAIN | Green Runner: A Tool for Efficient Deep Learning Component Selection. | Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz |
| 2024 | CAIN | LLMs for Test Input Generation for Semantic Applications. | Zafaryab Rasool, Scott Barnett, David Willie, Stefanus Kurniawan, Sherwin Balugo, Srikanth Thudumu, Mohamed Abdelrazek |
| 2023 | ENASE | mHealthSwarm: A Unified Platform for mHealth Applications. | Ben Joseph Philip, Yasmeen Anjeer Alshehhi, Mohamed Abdelrazek, Scott Barnett, Alessio Bonti, John Grundy |
| 2022 | ICSE | MLSmellHound: A Context-Aware Code Analysis Tool. | Jai Kannan, Scott Barnett, Luis Cruz, Anj Simmons, Akash Agarwal |
| 2021 | SCAM | Towards a taxonomy for annotation of data science experiment repositories. | Shangeetha Sivasothy, Scott Barnett, Niroshinie Fernando, Rajesh Vasa, Roopak Sinha, Andrew J. Simmons |
| 2020 | ESEM | A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects. | Andrew J. Simmons, Scott Barnett, Jessica Rivera-Villicana, Akshat Bajaj, Rajesh Vasa |
| 2020 | ICSE | Interpreting cloud computer vision pain-points: a mining study of stack overflow. | Alex Cummaudo, Rajesh Vasa, Scott Barnett, John C. Grundy, Mohamed Abdelrazek |
| 2015 | ICSE | Bootstrapping Mobile App Development. | Scott Barnett, Rajesh Vasa, John Grundy |