3 citations · 7 across the 7 of their papers we have counts for
3 papers · 1 filter
Turning Software Engineers into AI Engineers
Petra Heck, Gerard Schouten
In industry as well as education as well as academics we see a growing need for knowledge on how to apply machine learning in software applications. With the educational programme…
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…
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…