L. Boullart

发表

A comparative study of two different regression methods for radiographs in Polish youngsters estimating chronological age on third molars.

G. Willems, L. Van Langenhove, L. Langenhove, 2010, Forensic science international.

Rheumatoid factor and anticitrullinated protein antibodies in rheumatoid arthritis: diagnostic value, associations with radiological progression rate, and extra-articular manifestations

C. Vincent, G. Serre, I. Peene, 2004, Annals of the rheumatic diseases.

Learning a Layered Graph with a Maximal Number of Distinct Paths Connecting Source and Sink

W. Waegeman, L. Boullart, B. debaets, 2007 .

Preface to the Special Section on Computer Aided Control Systems Design. Contr. Eng. Practice, Elsevier Science, Oxford, 6, 1998, 499.

Mia Loccufier, Luc Boullart, M. Loccufier, 1998 .

Classification of horizontal two-phase flow using support vector machines with capitance signals

Bruno Bauwens, Michel De Paepe, Luc Boullart, 2007 .

Self-Organizing Neural Nets: A New Approach to Quality in Textiles

Paul Kiekens, L. Boullart, Stefan Sette, 1995 .

ENHANCED MAPPING: AN EXTENSION OF TOPOLOGICAL MAPPING TO FORM INTERNAL REPRESENTATIONS AND SPATIAL MAPPINGS

D. Thierens, G. Otte, L. Boullart, 1991 .

Brain-Computer Interfaces: from theory to practice

Dieter Devlaminck, Bart Wyns, Georges Otte, 2009, ESANN.

Diagnostic classification of spondylarthropathy and rheumatoid arthritis by synovial histopathology: a prospective study in 154 consecutive patients.

A. Boots, D. Baeten, E. Veys, 2004, Arthritis and rheumatism.

The development of a decision support system for the pathological diagnosis of human cerebral tumours based on a neural network classifier

L. Boullart, H. Roels, G. Otte, 2005, Acta Neurochirurgica.

Prediction of dose escalation for rheumatoid arthritis patients under infliximab treatment

René Westhovens, Bart Wyns, Luc Boullart, 2006, Eng. Appl. Artif. Intell..

Polymorphisms in the ficolin 1 gene (FCN1) are associated with susceptibility to the development of rheumatoid arthritis.

W. Waegeman, L. Nuytinck, D. Elewaut, 2007, Rheumatology.

Efficient tree traversal to reduce code growth in tree-based genetic programming

Bart Wyns, Luc Boullart, L. Boullart, 2009, J. Heuristics.

ROC analysis in ordinal regression learning

Bernard De Baets, Willem Waegeman, Luc Boullart, 2008, Pattern Recognit. Lett..

An ensemble of Weighted Support Vector Machines for Ordinal Regression

Willem Waegeman, Luc Boullart, W. Waegeman, 2007 .

Kernel-based learning methods for preference aggregation

Bernard De Baets, Willem Waegeman, Luc Boullart, 2009, 4OR.

Prediction of diagnosis in patients with early arthritis using a combined Kohonen mapping and instance-based evaluation criterion

Bart Wyns, Luc Boullart, Stefan Sette, 2004, Artif. Intell. Medicine.

Prediction of arthritis using a modified Kohonen mapping and case based reasoning

Bart Wyns, Luc Boullart, Stefan Sette, 2004, Eng. Appl. Artif. Intell..

Optimizing the Fiber-to-Yarn Production Process with a Combined Neural Network/Genetic Algorithm Approach

L. Boullart, S. Sette, L. Van Langenhove, 1997 .

Optimising a production process by a neural network/genetic algorithm approach

Lieva Van Langenhove, Luc Boullart, Stefan Sette, 1996 .

Integrating Expert Knowledge into Kernel-based Preference Models

Bernard De Baets, Willem Waegeman, Luc Boullart, 2008 .

Measuring instantaneous directed dependencies in interacting oscillators

Bruno Bauwens, Dieter Devlaminck, Bart Wyns, 2007 .

Four-year follow-up of infliximab therapy in rheumatoid arthritis patients with long-standing refractory disease: attrition and long-term evolution of disease activity

M. Malaise, P. Durez, R. Westhovens, 2006, Arthritis research & therapy.

DAS28 best reflects the physician's clinical judgment of response to infliximab therapy in rheumatoid arthritis patients: validation of the DAS28 score in patients under infliximab treatment

M. Malaise, P. Durez, R. Westhovens, 2005, Arthritis research & therapy.

On the scalability of ordered multi-class ROC analysis

Bernard De Baets, Willem Waegeman, Luc Boullart, 2008, Comput. Stat. Data Anal..

Application of Artificial Intelligence in Process Control: Lecture Notes Erasmus Intensive Course

R. A. Vingerhoeds, L. Boullart, A. Krijgsman, 1992 .

Comparison of Machine Learning models for prediction of dose increase in patients with rheumatoid arthritis

Bart Wyns, Luc Boullart, Stijn Van Looy, 2005 .

Machine learning algorithms for carpets classification

Robain De Keyser, Corneliu Lazar, Willem Waegeman, 2007 .

Learning layered ranking functions with structured support vector machines

Bernard De Baets, Willem Waegeman, Luc Boullart, 2008, Neural Networks.

Classifying carpets based on laser scanner data

Bernard De Baets, Jan Detand, Willem Waegeman, 2008, Eng. Appl. Artif. Intell..

Learning a Layered Graph with a Maximal Number of Paths Connecting Source and Sink

Bernard De Baets, Willem Waegeman, Luc Boullart, 2007 .

Expert Systems for Process Control Using Automatic Knowledge Acquisition

R. A. Vingerhoeds, L. Boullart, P. Delbar, 1988 .

Artificial Intelligence and Expert Systems: Next Generation Tools

L. Boullart, L. Boullart, 1988 .

Genetic programming: principles and applications

Luc Boullart, Stefan Sette, L. Boullart, 2001 .

Characterizing Diversity in Genetic Programming

Bart Wyns, Luc Boullart, Peter De Bruyne, 2006, EuroGP.

Self-Improvement to Control Code Growth in Genetic Programming

Bart Wyns, Luc Boullart, Stefan Sette, 2003, Artificial Evolution.

Comparing learning classifier systems and Genetic Programming: a case study

Bart Wyns, Luc Boullart, Stefan Sette, 2001, Eng. Appl. Artif. Intell..