6 citations · 10 across the 10 of their papers we have counts for
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cs.AI2023★ 1 cited
Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective
Ricardo Knauer, Erik Rodner
A key challenge in machine learning is to design interpretable models that can reduce their inputs to the best subset for making transparent predictions, especially in the clinical…
cs.CV2023
CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification
Dennis Ritter, Mike Hemberger, Marc Hönig +3
In this paper, we systematically analyze unsupervised domain adaptation pipelines for object classification in a challenging industrial setting. In contrast to standard natural obj…