| 2007 |
|---|
| 10 | EE | Luh Yen,
Francois Fouss,
Christine Decaestecker,
Pascal Francq,
Marco Saerens:
Graph Nodes Clustering Based on the Commute-Time Kernel.
PAKDD 2007: 1037-1045 |
| 2005 |
|---|
| 9 | EE | Olivier Debeir,
Philippe Van Ham,
Robert Kiss,
Christine Decaestecker:
Tracking of migrating cells under phase-contrast video microscopy with combined mean-shift processes.
IEEE Trans. Med. Imaging 24(6): 697-711 (2005) |
| 2002 |
|---|
| 8 | EE | Marco Saerens,
Patrice Latinne,
Christine Decaestecker:
Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure.
Neural Computation 14(1): 21-41 (2002) |
| 7 | EE | Patrice Latinne,
Olivier Debeir,
Christine Decaestecker:
Combining Different Methods and Numbers of Weak Decision Trees.
Pattern Anal. Appl. 5(2): 201-209 (2002) |
| 2001 |
|---|
| 6 | | Patrice Latinne,
Marco Saerens,
Christine Decaestecker:
Adjusting the Outputs of a Classifier to New a Priori Probabilities May Significantly Improve Classification Accuracy: Evidence from a multi-class problem in remote sensing.
ICML 2001: 298-305 |
| 5 | EE | Patrice Latinne,
Olivier Debeir,
Christine Decaestecker:
Limiting the Number of Trees in Random Forests.
Multiple Classifier Systems 2001: 178-187 |
| 2000 |
|---|
| 4 | EE | Patrice Latinne,
Olivier Debeir,
Christine Decaestecker:
Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination.
Multiple Classifier Systems 2000: 200-209 |
| 1997 |
|---|
| 3 | EE | Christine Decaestecker:
Finding prototypes for nearest neighbour classification by means of gradient descent and deterministic annealing.
Pattern Recognition 30(2): 281-288 (1997) |
| 1995 |
|---|
| 2 | | Thierry Van de Merckt,
Christine Decaestecker:
Multiple-Knowledge Representation in Concept Learning.
ECML 1995: 200-217 |
| 1991 |
|---|
| 1 | | Christine Decaestecker:
Description Contrasting in Incremental Concept Formation.
EWSL 1991: 220-233 |
