3 citations · 4 across the 6 of their papers we have counts for
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cs.LG2020
Risk of Training Diagnostic Algorithms on Data with Demographic Bias
Samaneh Abbasi-Sureshjani, Ralf Raumanns, Britt E. J. Michels +2
One of the critical challenges in machine learning applications is to have fair predictions. There are numerous recent examples in various domains that convincingly show that algor…
cs.HC2020★ 1 cited
Multi-task Ensembles with Crowdsourced Features Improve Skin Lesion Diagnosis
Ralf Raumanns, Elif K Contar, Gerard Schouten +1
Machine learning has a recognised need for large amounts of annotated data. Due to the high cost of expert annotations, crowdsourcing, where non-experts are asked to label or outli…