| 2007 |
|---|
| 11 | EE | Luh Yen,
Francois Fouss,
Christine Decaestecker,
Pascal Francq,
Marco Saerens:
Graph Nodes Clustering Based on the Commute-Time Kernel.
PAKDD 2007: 1037-1045 |
| 10 | EE | Francois Fouss,
Alain Pirotte,
Jean-Michel Renders,
Marco Saerens:
Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation.
IEEE Trans. Knowl. Data Eng. 19(3): 355-369 (2007) |
| 2006 |
|---|
| 9 | EE | Youssef Achbany,
Francois Fouss,
Luh Yen,
Alain Pirotte,
Marco Saerens:
Optimal Tuning of Continual Online Exploration in Reinforcement Learning.
ICANN (1) 2006: 790-800 |
| 8 | EE | Francois Fouss,
Luh Yen,
Alain Pirotte,
Marco Saerens:
An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task.
ICDM 2006: 863-868 |
| 2005 |
|---|
| 7 | EE | Luh Yen,
Denis Vanvyve,
Fabien Wouters,
Francois Fouss,
Michel Verleysen,
Marco Saerens:
clustering using a random walk based distance measure.
ESANN 2005: 317-324 |
| 6 | | Francois Fouss,
Stéphane Faulkner,
Manuel Kolp,
Alain Pirotte,
Marco Saerens:
Web Recommendation System Based on a Markov-Chainmodel.
ICEIS (4) 2005: 56-63 |
| 5 | EE | Francois Fouss,
Alain Pirotte,
Marco Saerens:
A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation.
Web Intelligence 2005: 550-556 |
| 4 | EE | Marco Saerens,
Francois Fouss:
HITS is Principal Components Analysis.
Web Intelligence 2005: 782-785 |
| 2004 |
|---|
| 3 | EE | Marco Saerens,
Francois Fouss,
Luh Yen,
Pierre Dupont:
The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering.
ECML 2004: 371-383 |
| 2 | EE | Marco Saerens,
Francois Fouss:
Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach.
Multiple Classifier Systems 2004: 82-91 |
| 2003 |
|---|
| 1 | EE | Francois Fouss,
Marco Saerens,
Jean-Michel Renders:
Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains.
ICDM 2003: 521-524 |
