Overly Optimistic Prediction Results on Imbalanced Data: a Case Study of Flaws and Benefits when Applying Over-sampling

2 code implementations • 15 Jan 2020 • Gilles Vandewiele, Isabelle Dehaene, György Kovács, Lucas Sterckx, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester

Information extracted from electrohysterography recordings could potentially prove to be an interesting additional source of information to estimate the risk on preterm birth.

Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning

no code implementations • 6 Dec 2018 • Mijung Kim, Olivier Janssens, Ho-min Park, Jasper Zuallaert, Sofie Van Hoecke, Wesley De Neve

Glaucoma is a major eye disease, leading to vision loss in the absence of proper medical treatment.

GENESIM: genetic extraction of a single, interpretable model

1 code implementation • 17 Nov 2016 • Gilles Vandewiele, Olivier Janssens, Femke Ongenae, Filip De Turck, Sofie Van Hoecke

The results show that GENESIM achieves a better predictive performance on most of these data sets than decision tree induction techniques and a predictive performance in the same order of magnitude as the ensemble techniques.

Decision Making Interpretable Machine Learning