In this paper we investigate the use of the area under the receiver operating characteristic
(ROC) curve (AUC) as a performance measure for machine learning algorithms. As a case …

Currently available screening tests do not deliver the required sensitivity and specificity for
accurate diagnosis of ovarian or endometrial cancer. Infrared (IR) spectroscopy of blood …

This paper gives an overview of the various available image databases and ways of
searching these databases on image contents. The developments in research groups of …

Motivation: Membrane domain prediction has recently been re-evaluated by several groups,
suggesting that the accuracy of existing methods is still rather limited. In this work, we revisit …

Quantitative electromyographic signal analysis in the time domain for motor unit action
potential (MUAP) classification and disease identification has been well documented over …

An unsupervised method to recognize and classify QRS complexes was developed in order
to create an automatic cardiac beat classifier in real time. After exhaustive analysis, four …

Recent advances in computing and developments in technology have facilitated the routine
collection and storage of medical data that can be used to support medical decisions. In …

Automated weed detection and classification allow a high spatial density of measurements
and can therefore be used for site-specific application of herbicides at variable rate. A …

Pattern classification is a well studied problem in which the identity of an unknown pattern is
determined to be one of M classes spanning the pattern space. A new criterion function, the …

Résumé TANAGRA est un logiciel «open source» gratuit dédié à la fouille de données. Il s'
adresse à deux types de publics. D'un côté, il présente une interface graphique aux normes …