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11/08/2022
Algorithmic Bias in Machine Learning Based Delirium Prediction
Although prediction models for delirium, a commonly occurring condition ...
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06/22/2022
Deep Learning to Jointly Schema Match, Impute, and Transform Databases
An applied problem facing all areas of data science is harmonizing data ...
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07/19/2021
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues
Data quality is a common problem in machine learning, especially in high...
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11/03/2020
(Un)fairness in Post-operative Complication Prediction Models
With the current ongoing debate about fairness, explainability and trans...
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10/19/2020
GANs for learning from very high class conditional noisy labels
We use Generative Adversarial Networks (GANs) to design a class conditio...
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01/12/2020
On Feature Interactions Identified by Shapley Values of Binary Classification Games
For feature selection and related problems, we introduce the notion of c...
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11/18/2019
Attribute noise robust binary classification
We consider the problem of learning linear classifiers when both feature...
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01/08/2019
