Michel Bruynooghe

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In this paper we describe an application of data mining methods for different prediction tasks in an intensive care unit. Some of the challenging aspects of performing data mining in this domain are highlighted. The applied methods result in models with good performances within medical standards that can be valuable in assisting medical decision making.
The scanning and computerized processing of images had its birth in 1956 at the National Bureau of Standards (NBS, now National Institute of Standards and Technology (NIST)) [1]. Image enhancement algorithms were some of the first to be developed [2]. Half a century later, literally thousands of image processing algorithms have been published. Some of these(More)
Proefschrift voorgedragen tot het behalen van het doctoraat in de ingenieurswetenschappen door Leslie DE KONINCK c Katholieke Universiteit Leuven – Faculteit Ingenieurswetenschappen Arenbergkasteel, B-3001 Heverlee (Belgium) Alle rechten voorbehouden. Niets uit deze uitgave mag worden vermenigvuldigd en/of openbaar gemaakt worden door middel van druk,(More)
  • M Codish, M Garc A De La Banda, M Bruynooghe, M Hermenegildo
  • 1994
Goal independent analysis of logic programs is commonly discussed in the context of the bottom-up approach. However, while the literature is rich in descriptions of top-down analysers and their application , practical experience with bottom-up analysis is still in a preliminary stage. Moreover, the practical use of existing top-down frameworks for goal(More)
Proefschrift voorgedragen tot het behalen van het doctoraat in de ingenieurswetenschappen door Robby GOETSCHALCKX c Katholieke Universiteit Leuven – Faculteit Ingenieurswetenschappen Arenbergkasteel, B-3001 Heverlee (Belgium) Alle rechten voorbehouden. Niets uit deze uitgave mag worden vermenigvuldigd en/of openbaar gemaakt worden door middel van druk,(More)