4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.LG2024
A prototype-based model for set classification
Mohammad Mohammadi, Sreejita Ghosh
Classification of sets of inputs (e.g., images and texts) is an active area of research within both computer vision (CV) and natural language processing (NLP). A common way to repr…
cs.LG2022★ 4 cited
Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets
Sreejita Ghosh, Elizabeth S. Baranowski, Michael Biehl +3
Application of interpretable machine learning techniques on medical datasets facilitate early and fast diagnoses, along with getting deeper insight into the data. Furthermore, the…
cs.LG2020
Visualisation and knowledge discovery from interpretable models
Sreejita Ghosh, Peter Tino, Kerstin Bunte
Increasing number of sectors which affect human lives, are using Machine Learning (ML) tools. Hence the need for understanding their working mechanism and evaluating their fairness…