2 citations · 2 across the 1 of their papers we have counts for
4 papers
Lessons Learned from Educating AI Engineers
Petra Heck, Gerard Schouten
Over the past three years we have built a practice-oriented, bachelor level, educational programme for software engineers to specialize as AI engineers. The experience with this pr…
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…