68 citations · 302 across the 26 of their papers we have counts for
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astro-ph.GA2022★ 24 cited
A machine learning based approach to gravitational lens identification with the International LOFAR Telescope
S. Rezaei, J. P. McKean, M. Biehl +2
We present a novel machine learning based approach for detecting galaxy-scale gravitational lenses from interferometric data, specifically those taken with the International LOFAR…
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…