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05/31/2023
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss
Spurious correlations are everywhere. While humans often do not perceive...
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02/28/2023
Interpretable and Intervenable Ultrasonography-based Machine Learning Models for Pediatric Appendicitis
Appendicitis is among the most frequent reasons for pediatric abdominal ...
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12/23/2022
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge
Many modern research fields increasingly rely on collecting and analysin...
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07/26/2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods
Deep neural networks for image-based screening and computer-aided diagno...
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04/12/2021
A Deep Variational Approach to Clustering Survival Data
Survival analysis has gained significant attention in the medical domain...
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01/19/2021
Interpretable Models for Granger Causality Using Self-explaining Neural Networks
Exploratory analysis of time series data can yield a better understandin...
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12/03/2020
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
In this review, we examine the problem of designing interpretable and ex...
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01/26/2019