Alina Jade Barnett

Joined

February 2020

Names

Alina Jade Barnett (Preferred)

Emails

****@duke.edu (Confirmed)

****@uri.edu (Confirmed)

Personal Links

Career & Education History

Postdoc

Duke University (duke.edu)

2023 – 2025

PhD student

Duke University (duke.edu)

2017 – 2023

Intern

Department of Computer Science and Statistics, Kitware (kitware.com)

2019 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Cynthia Rudin

2017 – 2023

Coauthor

Jonathan Su

2017 – 2020

Expertise

Seizure

2022 – Present

Mammography

2018 – Present

Deep Learning

2017 – Present

Interpretability

2017 – Present

Neural Networks

2017 – Present

Computer vision

2017 – Present

Publications

Cosine Similarity is Almost All You Need (for Prototypical-Part Models)
Luke Moffett, Frank Willard, Maximillian Machado, Emmanuel Mokel, Jon Donnelly, Zhicheng Guo, Adam Costarino, Julia Yang, Giyoung Kim, Alina Jade Barnett, Cynthia Rudin
- OpenReview Archive Direct Upload
- Readers: Everyone
It's LIT! Reliability-Optimized LLMs with Inspectable Tools
Ruixin Zhang, Jon Donnelly, Zhicheng Guo, Ghazal Khalighinejad, Haiyang Huang, Alina Jade Barnett, Cynthia Rudin
- MTI-LLM @ NeurIPS 2025 Poster
- Readers: Everyone
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
Jon Donnelly, Zhicheng Guo, Alina Jade Barnett, Hayden McTavish, Chaofan Chen, Cynthia Rudin
- CVPR 2025
- Readers: Everyone
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
Jon Donnelly, Zhicheng Guo, Alina Jade Barnett, Hayden McTavish, Chaofan Chen, Cynthia Rudin
- CVPR 2025
- Readers: Everyone
This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN
Dennis Tang, Jon Donnelly, Alina Jade Barnett, Lesia Semenova, Jin Jing, Peter Hadar, Ioannis Karakis, Olga Selioutski, Kehan Zhao, M. Brandon Westover, Cynthia Rudin
- MICCAI (14) 2025
- Readers: Everyone
AsymMirai: Interpretable Mammography-based Deep Learning Model for 1–5-year Breast Cancer Risk Prediction
Jon Donnelly, Luke Moffett, Alina Jade Barnett, Hari Trivedi, Fides Schwartz, Joseph Lo, Cynthia Rudin
- Radiology
- Readers: Everyone
A case-based interpretable deep learning model for classification of mass lesions in digital mammography
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Lo, Cynthia Rudin
- 16 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Mapping the Ictal-Interictal-Injury Continuum Using Interpretable Machine Learning
Alina Jade Barnett, Zhicheng Guo, Jin Jing, Wendong Ge, Cynthia Rudin, M Brandon Westover
- 16 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography
Alina Jade Barnett, Fides Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Lo, Cynthia Rudin
- 16 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen, Oscar Li, Chaofan Tao, Alina Jade Barnett, Jonathan Su, Cynthia Rudin
- 16 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 18 publications

Co-Authors

View all 34 co-authors