2008 |
10 | EE | Willem Waegeman,
Bernard De Baets,
Luc Boullart:
On the scalability of ordered multi-class ROC analysis.
Computational Statistics & Data Analysis 52(7): 3371-3388 (2008) |
9 | EE | Willem Waegeman,
Bernard De Baets,
Luc Boullart:
Learning layered ranking functions with structured support vector machines.
Neural Networks 21(10): 1511-1523 (2008) |
8 | EE | Willem Waegeman,
Bernard De Baets,
Luc Boullart:
ROC analysis in ordinal regression learning.
Pattern Recognition Letters 29(1): 1-9 (2008) |
2007 |
7 | | Bruno Bauwens,
Bart Wyns,
Dieter Devlaminck,
Georges Otte,
Luc Boullart,
Patrick Santens:
Mutual information and algorithmic information transfer as ideal undirected and directed independence tests.
FCS 2007: 21-26 |
6 | EE | Bart Wyns,
Luc Boullart:
Adaptive strategies for a semantically driven tree optimizer to control code growth.
GECCO 2007: 1762 |
5 | EE | Bart Wyns,
Luc Boullart,
Pieter Jan De Smedt:
Limiting code growth to improve robustness in tree-based genetic programming.
GECCO 2007: 1763 |
2006 |
4 | EE | Bart Wyns,
Peter De Bruyne,
Luc Boullart:
Characterizing Diversity in Genetic Programming.
EuroGP 2006: 250-259 |
2004 |
3 | | Mihaela Sbarciog,
Bart Wyns,
Clara M. Ionescu,
Robin De Keyser,
Luc Boullart:
Neural network models for a solar power plant.
Neural Networks and Computational Intelligence 2004: 7-12 |
2 | EE | Bart Wyns,
Stefan Sette,
Luc Boullart,
D. Baeten,
I. E. A. Hoffman,
F. De Keyser:
Prediction of diagnosis in patients with early arthritis using a combined Kohonen mapping and instance-based evaluation criterion.
Artificial Intelligence in Medicine 31(1): 45-55 (2004) |
2003 |
1 | EE | Bart Wyns,
Stefan Sette,
Luc Boullart:
Self-Improvement to Control Code Growth in Genetic Programming.
Artificial Evolution 2003: 256-266 |