Ronald L. Westra

发表

Proceedings of the 1st international conference on Knowledge discovery and emergent complexity in bioinformatics

Yvan Saeys, Ann Nowé, Karl Tuyls, 2006 .

A Parallel Hardware Multiple Microprocessor Asynchronous Neural Network Architecture for Control Applications

Ronald L. Westra, James Shippen, N. D. Freear, 1999 .

Evolutionary Games and Periodic Fitness

Ralf Peeters, Gijs Schoenmakers, Pieter Collins, 2012, Dyn. Games Appl..

Inverse reconstruction of epicardial potentials is improved by novel regularization methods and extensive validaton

Ralf Peeters, Ronald L. Westra, Pietro Bonizzi, 2014 .

The Identification of Dynamic Gene-Protein Networks

Marc Gyssens, Karl Tuyls, Ronald L. Westra, 2006, KDECB.

Wavelet-sparsity based regularization over time in the inverse problem of electrocardiography

Joël M. H. Karel, Ralf L. M. Peeters, Ronald L. Westra, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Network topology of NaV1.7 mutations in sodium channel-related painful disorders

Filippo Martinelli-Boneschi, Andrea Zauli, Ronald L. Westra, 2017, BMC Systems Biology.

Physiology-based regularization of the electrocardiographic inverse problem

Ralf L. M. Peeters, Michael Clerx, Ronald L. Westra, 2016, Medical & Biological Engineering & Computing.

Identification of Piecewise Linear Models of Complex Dynamical Systems pdf

Ralf L. M. Peeters, Mihály Petreczky, Ronald L. Westra, 2011, ArXiv.

Physiology-based regularization improves noninvasive reconstruction and localization of cardiac electrical activity

Ralf L. M. Peeters, Ronald L. Westra, Matthijs J. M. Cluitmans, 2014, Computing in Cardiology 2014.

Applying neural network to fault classification in image data

Ronald L. Westra, James Shippen, N. D. Freear, 1999 .

BioSens - Biomedical Signal Processing Platform for Low-Power Real-Time Sensing of Cardiac Signals

Wouter A. Serdijn, Ralf Peeters, Ronald L. Westra, 2004 .

Knowledge Discovery and Emergent Complexity in Bioinformatics

Yvan Saeys, Ann Nowé, Karl Tuyls, 2006, KDECB.

Topographic imaging of the atrial electrical activity during atrial fibrillation for the analysis of uniform distributions of the surface electrical potentials

Joël M. H. Karel, Francisco Castells, Vicente Zarzoso, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Silvestro Micera, Johannes Schemmel, Szabolcs Káli, 2017, BMC Neuroscience.

Digital Commons@Becker

Ralf L. M. Peeters, Antonio Zaza, Daniel M. Johnson, 2022 .

Singular spectrum analysis improves analysis of local field potentials from macaque V1 in active fixation task

Joël M. H. Karel, Ralf Peeters, Olivier Meste, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

In-vivo evaluation of reduced-lead-systems in noninvasive reconstruction and localization of cardiac electrical activity

Joël M. H. Karel, Ralf Peeters, Ronald L. Westra, 2015, 2015 Computing in Cardiology Conference (CinC).

The pattern memory of gene-protein networks

Marc Gyssens, Karl Tuyls, Ronald L. Westra, 2007, AI Commun..

Switching dynamics of multi-agent learning

Peter Vrancx, Karl Tuyls, Ronald L. Westra, 2008, AAMAS.

On Phase Transitions in Learning Sparse Networks

Marc Gyssens, Karl Tuyls, Ronald L. Westra, 2007, ECML.

Realistic training data improve noninvasive reconstruction of heart-surface potentials

Ralf L. M. Peeters, Ronald L. Westra, Matthijs J. M. Cluitmans, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart

Joël M. H. Karel, Ralf Peeters, Ronald L. Westra, 2018, Medical & Biological Engineering & Computing.

Printing quality control using template independent neurofuzzy defect classification

Ronald L. Westra, James Shippen, N. D. Freear, 1999 .

Effects of Hebbian learning on networks of Kuramoto phase oscillators with time delay

Thomas Burwick, Peter De Weerd, Ronald L. Westra, 2017 .

Replicator Dynamics in Discrete and Continuous Strategy Spaces

Karl Tuyls, Ronald L. Westra, 2009, Multi-Agent Systems.

Implementing Wavelets in Continuous-Time Analog Circuits With Dynamic Range Optimization

Wouter A. Serdijn, Joël M. H. Karel, Ralf L. M. Peeters, 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

Inverse reconstruction of epicardial potentials improved by vectorcardiography and realistic potentials

Joël M. H. Karel, Ralf L. M. Peeters, Ronald L. Westra, 2013, Computing in Cardiology 2013.

Analog complex wavelet filters

Wouter A. Serdijn, Joël M. H. Karel, Ralf L. M. Peeters, 2005, 2005 IEEE International Symposium on Circuits and Systems.

Spatiotemporal activation time estimation improves noninvasive localization of cardiac electrical activity

Joël M. H. Karel, Ralf Peeters, Dana H. Brooks, 2016, 2016 Computing in Cardiology Conference (CinC).

Real-time quality control using interactive vision : a theoretical and practical approach to interactive sensing and classification

Ronald L. Westra, 2001 .

Hydropathicity-based prediction of pain-causing NaV1.7 variants

Yang Yang, Ronald L. Westra, Dimos Kapetis, 2021, BMC Bioinformatics.

Multiwavelet Design for Cardiac Signal Processing

Wouter A. Serdijn, Joël M. H. Karel, Ronald L. Westra, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

WAVELET APPROXIMATION FOR IMPLEMENTATION IN DYNAMIC TRANSLINEAR CIRCUITS

Wouter A. Serdijn, Joël M. H. Karel, Ralf Peeters, 2005 .