Alina Jade Barnett

19 papers A* 2Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	It's LIT! Reliability-Optimized LLMs with Inspectable Tools. CoRR Ruixin Zhang, Jon Donnelly, Zhicheng Guo, Ghazal Khalighinejad, Haiyang Huang, Alina Jade Barnett, Cynthia Rudin
2025	A*	`conf`	Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time. CVPR Jon Donnelly, Zhicheng Guo, Alina Jade Barnett, Hayden McTavish, Chaofan Chen, Cynthia Rudin
2025	J	`jnl`	Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time. CoRR Jon Donnelly, Zhicheng Guo, Alina Jade Barnett, Hayden McTavish, Chaofan Chen, Cynthia Rudin
2025	—	`conf`	This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN. MICCAI (14) Dennis Tang, Jon Donnelly, Alina Jade Barnett, Lesia Semenova, Jin Jing, Peter Hadar, Ioannis Karakis, Olga Selioutski, Kehan Zhao, M. Brandon Westover, Cynthia Rudin
2025	J	`jnl`	This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN. CoRR Dennis Tang, Jon Donnelly, Alina Jade Barnett, Lesia Semenova, Jin Jing, Peter Hadar, Ioannis Karakis, Olga Selioutski, Kehan Zhao, M. Brandon Westover, Cynthia Rudin
2024	—	`conf`	FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography. CVPR Workshops Julia Yang, Alina Jade Barnett, Jon Donnelly, Satvik Kishore, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
2024	J	`jnl`	FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography. CoRR Julia Yang, Alina Jade Barnett, Jon Donnelly, Satvik Kishore, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
2024	J	`jnl`	This Looks Better than That: Better Interpretable Models with ProtoPNeXt. CoRR Frank Willard, Luke Moffett, Emmanuel Mokel, Jon Donnelly, Stark Guo, Julia Yang, Giyoung Kim, Alina Jade Barnett, Cynthia Rudin
2023	—	`conf`	A user interface to communicate interpretable AI decisions to radiologists (Erratum). Image Perception, Observer Performance, and Technology Assessment Yanchen Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin
2023	—	`conf`	A user interface to communicate interpretable AI decisions to radiologists. Image Perception, Observer Performance, and Technology Assessment Yanchen Jessie Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin
2023	—	`—`	Interpretable Machine Learning With Medical Applications. Alina Jade Barnett
2023	J	`jnl`	ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges. CoRR Dennis Tang, Frank Willard, Ronan Tegerdine, Luke Triplett, Jon Donnelly, Luke Moffett, Lesia Semenova, Alina Jade Barnett, Jin Jing, Cynthia Rudin, M. Brandon Westover
2022	A*	`conf`	Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes. CVPR Jon Donnelly, Alina Jade Barnett, Chaofan Chen
2022	—	`conf`	Interpretable deep learning models for better clinician-AI communication in clinical mammography. Image Perception, Observer Performance, and Technology Assessment Alina Jade Barnett, Vaibhav Sharma, Neel Gajjar, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
2022	J	`jnl`	Mapping the Ictal-Interictal-Injury Continuum Using Interpretable Machine Learning. CoRR Alina Jade Barnett, Zhicheng Guo, Jin Jing, Wendong Ge, Cynthia Rudin, M. Brandon Westover
2021	J	`jnl`	A case-based interpretable deep learning model for classification of mass lesions in digital mammography. Nat. Mach. Intell. Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021	J	`jnl`	Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes. CoRR Jon Donnelly, Alina Jade Barnett, Chaofan Chen
2021	J	`jnl`	IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography. CoRR Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021	J	`jnl`	Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning. CoRR Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin