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Cynthia Rudin

9PUBLICATIONS

44CO-AUTHORS

Deep learningCancer diagnosisInnate immunityNgā pūnaha whakahaere mōhiohio me te mātauranga o te Māori (Māori information and knowledge management systems)Artificial life and complex adaptive systems

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Publications (9)

Sort by Publication Date:

|Aug 14, 2025

Sparse learned kernels for interpretable and efficient medical time series processing.

Sully F Chen, Zhicheng Guo, Cheng Ding

|May 26, 2025

Improving annotation efficiency for fully labeling a breast mass segmentation dataset.

Vaibhav Sharma, Alina Jade Barnett, Julia Yang

|Jun 20, 2024

Integrated Single-cell Multiomic Analysis of HIV Latency Reversal Reveals Novel Regulators of Viral Reactivation.

Manickam Ashokkumar, Wenwen Mei, Jackson J Peterson

|Jun 14, 2024

Improving Clinician Performance in Classifying EEG Patterns on the Ictal-Interictal Injury Continuum Using Interpretable Machine Learning.

Alina Jade Barnett, Zhicheng Guo, Jin Jing

|Mar 19, 2024

AsymMirai: Interpretable Mammography-based Deep Learning Model for 1-5-year Breast Cancer Risk Prediction.

Jon Donnelly, Luke Moffett, Alina Jade Barnett

|Oct 02, 2023

Interpretable algorithmic forensics.

Brandon L Garrett, Cynthia Rudin

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Frequent Collaborators

3 joint publications

Alina Jade Barnett

2 joint publications

Joseph Y Lo

2 joint publications

Fides Schwartz

2 joint publications

Zhicheng Guo

2 joint publications

Edward P Browne

1 joint publications

Sully F Chen

1 joint publications

Wenwen Mei

1 joint publications

Jackson J Peterson

1 joint publications

David M Murdoch

1 joint publications

David M Margolis

Frequent Collaborators

3 joint publications

Alina Jade Barnett

2 joint publications

Joseph Y Lo

2 joint publications

Fides Schwartz

2 joint publications

Zhicheng Guo

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