Anj Simmons

20 papers B 1Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Channel-annotated deep learning for enhanced interpretability in EEG-based seizure detection.
Biomed. Signal Process. Control.
Sheng Wong, Anj Simmons, Jessica Rivera-Villicana, Scott Barnett, Shobi Sivathamboo, Piero Perucca, Zongyuan Ge, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien
2024 J jnl
Comparative analysis of real issues in open-source machine learning projects.
Empir. Softw. Eng.
Tuan Dung Lai, Anj Simmons, Scott Barnett, Jean-Guy Schneider, Rajesh Vasa
2024 — conf
Detecting out-of-distribution text using topological features of transformer-based language models.
AISafety@IJCAI
Andres Pollano, Anupam Chaudhuri, Anj Simmons
2024 B conf
Green Runner: A Tool for Efficient Deep Learning Component Selection.
CAIN
Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz
2024 J jnl
Minimising changes to audit when updating decision trees.
CoRR
Anj Simmons, Scott Barnett, Anupam Chaudhuri, Sankhya Singh, Shangeetha Sivasothy
2024 — conf
Quantifying Manifolds: Do the Manifolds Learned by Generative Adversarial Networks Converge to the Real Data Manifold?
AI (2)
Anupam Chaudhuri, Anj Simmons, Mohamed Abdelrazek
2024 J jnl
Quantifying Manifolds: Do the manifolds learned by Generative Adversarial Networks converge to the real data manifold.
CoRR
Anupam Chaudhuri, Anj Simmons, Mohamed Abdelrazek
2023 J jnl
Detecting out-of-distribution text using topological features of transformer-based language models.
CoRR
Andres Pollano, Anupam Chaudhuri, Anj Simmons
2023 J jnl
Estimating Patient-Level Uncertainty in Seizure Detection Using Group-Specific Out-of-Distribution Detection Technique.
Sensors
Sheng Wong, Anj Simmons, Jessica Rivera-Villicana, Scott Barnett
2023 J jnl
Garbage in, garbage out: Zero-shot detection of crime using Large Language Models.
CoRR
Anj Simmons, Rajesh Vasa
2023 J jnl
Green Runner: A tool for efficient model selection from model repositories.
CoRR
Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz
2023 — conf
MLGuard: Defend Your Machine Learning Model!
SE4SafeML@SIGSOFT FSE
Sheng Wong, Scott Barnett, Jessica Rivera-Villicana, Anj Simmons, Hala Abdelkader, Jean-Guy Schneider, Rajesh Vasa
2023 J jnl
MLGuard: Defend Your Machine Learning Model!
CoRR
Sheng Wong, Scott Barnett, Jessica Rivera-Villicana, Anj Simmons, Hala Abdelkader, Jean-Guy Schneider, Rajesh Vasa
2022 J jnl
A reliability measure for smart surveillance systems.
CoRR
Anj Simmons
2022 J jnl
Comparative analysis of real bugs in open-source Machine Learning projects - A Registered Report.
CoRR
Tuan Dung Lai, Anj Simmons, Scott Barnett, Jean-Guy Schneider, Rajesh Vasa
2022 — conf
MLSmellHound: A Context-Aware Code Analysis Tool.
ICSE (NIER)
Jai Kannan, Scott Barnett, Luis Cruz, Anj Simmons, Akash Agarwal
2022 J jnl
MLSmellHound: A Context-Aware Code Analysis Tool.
CoRR
Jai Kannan, Scott Barnett, Luís Cruz, Anj Simmons, Akash Agarwal
2022 J jnl
Signal Knowledge Graph.
CoRR
Anj Simmons, Rajesh Vasa
2022 — conf
SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations.
ISWC (Posters/Demos/Industry)
Anj Simmons, Rajesh Vasa, Antonio Giardina
2022 J jnl
SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations.
CoRR
Anj Simmons, Rajesh Vasa, Antonio Giardina