J
Joos Vandewalle
Researcher at Katholieke Universiteit Leuven
Publications - 747
Citations - 42250
Joos Vandewalle is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Artificial neural network & Singular value decomposition. The author has an hindex of 73, co-authored 747 publications receiving 39621 citations. Previous affiliations of Joos Vandewalle include University of Virginia & Catholic University of Leuven.
Papers
More filters
Book ChapterDOI
Extraction of weak bioelectrical signals by means of singular value decomposition
TL;DR: It is shown that the proposed method uses a totally different approach, in this sense that it manipulates geometrically all measurements at the same time, and can easily be applied under realistic clinical conditions.
Book ChapterDOI
Role Based Access Control in Distributed Systems
TL;DR: The conclusion is that enforcing such a scheme that enforces a role based access control mechanism in a distributed computing environment is both realistic and renders the whole system more manageable and auditable.
Journal ArticleDOI
Classification of normal and abnormal electrogastrograms using multilayer feedforward neural networks
TL;DR: A neural network approach is proposed for the automated classification of the normal and abnormal EGG and the scaled conjugate gradient algorithm performs best, in that it is robust and provides a super-linear convergence rate.
Proceedings Article
Visualizing high dimensional datasets using parallel coordinaties : application to gene prioritization
TL;DR: An algorithm is developed to find an optimal permutation of dimensions, which allows the data miner to immediately see the most important features or irregularities in the dataset, which is implemented as a genetic algorithm based on the travelling salesman problem using maximal correlation as fitness.