Publicaties

A mixed effects least squares support vector machine (LS-SVM) classifier is introduced to extend the standard LS-SVM classifier for handling longitudinal data. The mixed effects LS-SVM model contains a random intercept and allows to classify highly unbalanced data, in the sense that there is an unequal number of observations for each case at non-fixed time points. The methodology consists of a regression modeling and a classification step based ...

The aim of this work is to build a multivariate calibration (MVC) model from Raman spectra for the
prediction of the protein conformational state class (i.e. native-like or non-native) in different freeze-
dried pharmaceutical formulations of a model protein lactate dehydrogenase (LDH). As this model would
be intended to facilitate and better understand formulation and process development, it should allow
acceptable ...

Using profit-based evaluation measures is a necessity in business-oriented contexts, as they aid companies in making cost-optimal decisions. Among the measures that effectively include the true nature of costs and benefits in binary classification, the expected maximum profit (EMP) has been used successfully for churn prediction and credit scoring, and defined in general for binary classification problems. However, despite its competitive ...

In the present study, classification trees (CTs-J48 algorithm) were used to study the occurrence of roach in rivers in Flanders (Belgium). The presence/absence of roach was modelled based on a set of river characteristics. The predictive performance of the CTs models was assessed based on the percentage of Correctly Classified Instances (CCI) and Cohen's kappa statistics. To find the best model performance, a 3-fold cross validation techniques ...

Het evidence-based medicine principe indachtig, is het duidelijk dat systemen terondersteuning van klinische beslissingen zeer nuttige hulpmiddelen kunnen zijn in deklinische praktijk. Er zijn ontelbare toepassingen voor dergelijke systemen, deels doorde vooruitgang in het domein van de computationele intelligentie. Deze systemen helpenclinici bij het nemen van belangrijke beslissingen, maar kunnen hen uiteraard nietvervangen. Het blijkt echter ...