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pro vyhledávání: '"Schouten, Gerard"'
The influence of bias in datasets on the fairness of model predictions is a topic of ongoing research in various fields. We evaluate the performance of skin lesion classification using ResNet-based CNNs, focusing on patient sex variations in training
Externí odkaz:
http://arxiv.org/abs/2407.17543
Autor:
Heck, Petra, Schouten, Gerard
For an AI solution to evolve from a trained machine learning model into a production-ready AI system, many more things need to be considered than just the performance of the machine learning model. A production-ready AI system needs to be trustworthy
Externí odkaz:
http://arxiv.org/abs/2303.13151
Autor:
Schouten, Gerard1,2 (AUTHOR) g.schouten@fontys.nl, Michielsen, Bas S. H. T.1,3 (AUTHOR), Gravendeel, Barbara2,4 (AUTHOR)
Publikováno v:
PLoS ONE. 9/9/2024, Vol. 19 Issue 9, p1-23. 23p.
We present ENHANCE, an open dataset with multiple annotations to complement the existing ISIC and PH2 skin lesion classification datasets. This dataset contains annotations of visual ABC (asymmetry, border, colour) features from non-expert annotation
Externí odkaz:
http://arxiv.org/abs/2107.12734
Autor:
Heck, Petra, Schouten, Gerard
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 programme and the practical assignments our students execute in industry
Externí odkaz:
http://arxiv.org/abs/2103.10703
Autor:
Heck, Petra, Schouten, Gerard
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 ICT & AI at Fontys UAS we had to find an answer to the question: "How
Externí odkaz:
http://arxiv.org/abs/2011.01590
Autor:
Abbasi-Sureshjani, Samaneh, Raumanns, Ralf, Michels, Britt E. J., Schouten, Gerard, Cheplygina, Veronika
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 algorithms trained with biased datasets can easily lead to erroneous or dis
Externí odkaz:
http://arxiv.org/abs/2005.10050
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 outline images, has been proposed as an alternative. Although many promisin
Externí odkaz:
http://arxiv.org/abs/2004.14745
Autor:
Kumcu, Asli, Platisa, Ljiljana, Goossens, Bart, Gislason-Lee, Amber J., Davies, Andrew G., Schouten, Gerard, Buytaert, Dimitri, Bacher, Klaus, Philips, Wilfried
Publikováno v:
Medical Imaging 2023 : Image Perception, Observer Performance, and Technology Assessment
Dose reduction remains an important goal in interventional x-ray. We propose an image quality (IQ) measure called the visibility overshoot index. Given a patient image and a specified clinical task, the index quantifies the maximum acceptable dose re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f227e7e137a34233e12cc26e269bffe0
https://doi.org/10.1117/12.2652548
https://doi.org/10.1117/12.2652548
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