Luc Boullart

发表

Directional predictions for 4-class BCI data

Bruno Bauwens, Willem Waegeman, Dieter Devlaminck, 2010, ESANN.

An ensemble of Weighted Support Vector Machines for Ordinal Regression

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

Informatics and computer science : the University of Ghent on the road towards the year 2000

Luc Boullart, 1993 .

Artificial intelligence in process control applications

B. D. Netten, R Vingerhoeds, Luc Boullart, 1992 .

Ordinal classification with support vector machines for automatic assessment of carpet wear

Bernard De Baets, Willem Waegeman, Luc Boullart, 2004 .

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 .

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

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

Expert Assisted Discrete Optimization of Composite Structures

B. D. Netten, R Vingerhoeds, Luc Boullart, 1993 .

Bira at 20: profile of a dynamic institution

Luc Boullart, 1992 .

Prediction of dose escalation for rheumatoid arthritis patients under infliximab treatment

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

FECS: an efficiency based Learning Classifier System applied to an industrial production process

Luc Boullart, Lieva Van Langenhove, Stefan Sette, 2000 .

Evolving Robust Robot Controllers for Corridor Following using Genetic Programming

Bart Wyns, Luc Boullart, Bert Bonte, 2010, ICAART.

Object Orientation and Object Oriented Programming

Luc Boullart, 1992 .

Adaptive strategies for a semantically driven tree optimizer to control code growth

Bart Wyns, Luc Boullart, 2007, GECCO '07.

Building decision tree classifiers using a Kohonen self-organizing map

Bart Wyns, Luc Boullart, Stijn Van Looy, 2004 .

Challenging streaming video in E-learning.

Luc Boullart, Muna Matar, 2002 .

Ranking by learning layered graphs

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

Machine learning algorithms for carpets classification

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

Comparison between physical modelling and neural network modelling of a solar power plant

Robain De Keyser, Clara-Mihaela Ionescu, Bart Wyns, 2004 .

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

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

Analysing real-time systems by means of aggregate approach

Luc Boullart, H Pranevicius, 1995 .

Comparing statistics with machine learning models to predict dose increase of infliximab for rheumatoid arthritis patients

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

Map Exploration using a Line-based Formation of Mobile Robots

Bart Wyns, Luc Boullart, Jens Boeykens, 2010, ICAART.

Self-Improvement to Control Code Growth in Genetic Programming

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

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

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

Limiting code growth to improve robustness in tree-based genetic programming

Bart Wyns, Luc Boullart, Pieter Jan De Smedt, 2007, GECCO '07.

Large Scale Permanent Education Programme in IT in Belgium

Luc Boullart, 1999 .

Ordinal regression for a 3-class brain-computer interface

Willem Waegeman, Dieter Devlaminck, Bart Wyns, 2009 .

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 .

An implementation of genetic algorithms for rule based machine learning

Luc Boullart, Stefan Sette, 2000 .

Active Security System for an Industrial Robot based on Artificial Vision and Fuzzy Logic Principles

Carlos Torre-Ferrero, José R. Llata García, Bart Wyns, 2008, ICINCO-RA.

Brain-Computer Interfaces: from theory to practice

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

When can we simplify a one-versus-one multi-class classifier to a single ranking

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

Classifying carpets based on laser scanner data

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

Kernel-based learning methods for preference aggregation

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

ROC analysis in ordinal regression learning

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

Comparing learning classifier systems and Genetic Programming: a case study

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

Characterizing Diversity in Genetic Programming

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

Mutual information and algorithmic information transfer as ideal undirected and directed independence tests

Bruno Bauwens, Dieter Devlaminck, Bart Wyns, 2007, FCS.

Genetic programming: principles and applications

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

Using A.I.-Formalisms in Programmable Logic Controllers

Luc Boullart, 1992 .

On the scalability of ordered multi-class ROC analysis

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

ICT Opens New Horizons in Large Scale it Permanent Eduction Programme in Belgium.

Luc Boullart, 1999 .

Comparing Learning Classifier Systems and Genetic Programming: A Case Study

Luc Boullart, Stefan Sette, 2001 .

Knowledge Representation by Logic

Luc Boullart, 1992 .

Experience with a large scale ODL IT-programma in Belgium.

Luc Boullart, 2000 .

Learning layered ranking functions with structured support vector machines

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

Soft Computing in Textiles: Present and Future.

Bart Wyns, Luc Boullart, Lieva Van Langenhove, 2002 .

Neural network models for a solar power plant

Robin De Keyser, Clara M. Ionescu, Bart Wyns, 2004, Neural Networks and Computational Intelligence.

Feature selection in the prediction of infliximab dose increase

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

A Graph-theoretic Approach for Reducing One-versus-one Multi-class Classification to Ranking. International Workshop on Mining and Learning with Graphs

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

A Gentle Introduction to Artificial Intelligence

Luc Boullart, 1992 .

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.

A Comparison of Dierent ROC Measures for Ordinal Regression

Bernard De Baets, Willem Waegeman, Luc Boullart, 2006 .

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

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