Search Results for author: Sreejita Ghosh

Found 2 papers, 0 papers with code

Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets

no code implementations4 Jun 2022 Sreejita Ghosh, Elizabeth S. Baranowski, Michael Biehl, Wiebke Arlt, Peter Tino, Kerstin Bunte

Medical datasets face common issues such as heterogeneous measurements, imbalanced classes with limited sample size, and missing data, which hinder the straightforward application of machine learning techniques.

Interpretable Machine Learning

Visualisation and knowledge discovery from interpretable models

no code implementations7 May 2020 Sreejita Ghosh, Peter Tino, Kerstin Bunte

In this contribution we introduced a few intrinsically interpretable models which are also capable of dealing with missing values, in addition to extracting knowledge from the dataset and about the problem.

Decision Making Fairness +1

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