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Weakly Supervised Methods for Information Extraction (Zwak gesuperviseerde methodes voor informatie extractie) KU Leuven
Informatie extractie (IE) methoden detecteren en classificeren gestructu reerde informatie in ongestructureerde bronnen, zoals teksten of afbeeld ingen. Momenteel maken de meeste automatische IE methoden gebruik van ma chine leer algoritmes die worden getraind op grote, manueel geannoteerde datasets. De bekwaamheid van machine leer algoritmes om aanvullende of tegengestelde informatie te combineren is succesvol gebleken voor een gr ote ...
Automated T Wave End Detection Methods: Comparison of Four Different Methods for T Wave End Detection KU Leuven
Copyright © 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved T wave end detection is essential for electrocardiogram (ECG) processing and analysis. Several methods have been proposed and tested, but an objective comparison is lacking. In this paper, four different (semi-) automated methods are compared with the manually annotated T wave ends of the PhysioNet QT database. The first method is a semi-automatic ...
Gene Prioritization Through Genomic Data Fusion: Methods and Applications in Human Genetics (Gen prioritizatie via genomische data fusie: Methodes en toepassingen in menselijke genetica) KU Leuven
Unravelling the molecular basis underlying genetic disorders is crucial in order to develop effective treatments to tackle these diseases. For many years, scientists have explored which genetic factors were associated with several human traits and diseases. After the completion of the human genome project, several high-throughput technologies have been designed and widely used, therefore producing large amounts of genomic data. At the same time, ...
Improving the Applicability of Ensemble Methods in Data Mining (Verbeteren van de toepasbaarheid van ensemble methodes in datamining) KU Leuven
Datamining is het automatisch zoeken naar impliciete patronen in grote verzamelingen gegevens.De patronen die daarbij gezocht worden kunnen predictieve of descriptieve patronen zijn naargelang het doel van het dataminingproces.In dit werk concentreren we ons op het leren van predictieve modellen. Deze hebben als doel een bepaalde eigenschap van de data te voorspellen a.h.v. andere gekende eigenschappen. Normaalgezien wordt één enkel model ...
New Methods and Models Improving the Prediction of Visual Gloss Perception (Nieuwe methodes en modellen ter bevordering van de voorspelling van visuele glanswaarneming) KU Leuven
Gloss is generally considered as an appearance attribute related to the directionally selective reflectance properties of the front surface, with a preference toward the specular reflection direction. Together with the colour and the texture, the aspect of gloss is of particular importance in several industrial applications for which the final appearance of the object determines the quality impression (automobile, paint, steel, etc.). However, ...
Estimation of Campylobacter prevalence and culture methods sensitivity in adsence of a gold-standard detection method: a statistical modelling helper Universiteit Gent
Talen geven en nemen: nieuwe denkkaders, contexten en methodes in de studie van lexicale ontlening / Lexical borrowing revisited: new frameworks, new contexts, new methods Universiteit Antwerpen
Model-Based Control of Mechatronic Systems - Bridging Between Advanced Methods and Industrial Applications (Modelgebaseerde controle van mechatronische systemen - Een brug tussen geavanceerde methodes en industriële toepassingen) KU Leuven
Nowadays, every product manufacturing industry is continuously driven to develop innovative and sustainable products that differentiate through outstanding performance, customer satisfaction and appealing brand values. Intelligent, mechatronic systems are instrumental to accommodate this increasing demand for product quality, flexibility and customization. Since its intelligent nature is essentially the raison dëtre of a mechatronic system, it ...
What is the best method to determine excessive arm volume in patients with breast cancerrelated lymphoedema in clinical practice? Reliability, time efficiency and clinical feasibility of five different methods Universiteit Antwerpen KU Leuven
Objective: To investigate the reliability, time efficiency and clinical feasibility of five commonly used methods for assessing excessive arm volume in patients with breast cancerrelated lymphoedema (BCRL). Design: Cross-sectional study. Setting: University Hospitals Leuven, Belgium. Subjects: 30 participants with unilateral BCRL. Methods: Excessive arm volume was determined by five different methods: traditional volumetry with overflow, ...