 | 2011 |
| 21 |  | Silvia García-Díez,
Marco Saerens,
Mathieu Senelle,
François Fouss:
A simple-cycles weighted kernel based on harmony structure for similarity retrieval.
ISMIR 2011: 61-66 |
| 20 |  | Luh Yen,
Marco Saerens,
François Fouss:
A Link Analysis Extension of Correspondence Analysis for Mining Relational Databases.
IEEE Trans. Knowl. Data Eng. 23(4): 481-495 (2011) |
| 19 |  | Silvia García-Díez,
François Fouss,
Masashi Shimbo,
Marco Saerens:
A sum-over-paths extension of edit distances accounting for all sequence alignments.
Pattern Recognition 44(6): 1172-1182 (2011) |
| 2010 |
| 18 |  | Silvia García-Díez,
François Fouss,
Masashi Shimbo,
Marco Saerens:
Normalized Sum-over-Paths Edit Distances.
ICPR 2010: 1044-1047 |
| 17 |  | François Fouss,
Youssef Achbany,
Marco Saerens:
A probabilistic reputation model based on transaction ratings.
Inf. Sci. 180(11): 2095-2123 (2010) |
| 2009 |
| 16 |  | Luh Yen,
François Fouss,
Christine Decaestecker,
Pascal Francq,
Marco Saerens:
Graph nodes clustering with the sigmoid commute-time kernel: A comparative study.
Data Knowl. Eng. 68(3): 338-361 (2009) |
| 15 |  | Marco Saerens,
Youssef Achbany,
François Fouss,
Luh Yen:
Randomized Shortest-Path Problems: Two Related Models.
Neural Computation 21(8): 2363-2404 (2009) |
| 2008 |
| 14 |  | Caroline Herssens,
Stéphane Faulkner,
François Fouss,
Ivan Jureta:
A Framework for QoS Driven Selection of Services.
IEEE SCC (2) 2008: 537-538 |
| 13 |  | François Fouss,
Marco Saerens:
Evaluating Performance of Recommender Systems: An Experimental Comparison.
Web Intelligence 2008: 735-738 |
| 12 |  | Youssef Achbany,
Ivan Jureta,
Stéphane Faulkner,
François Fouss:
Continually Learning Optimal Allocations of Services to Tasks.
IEEE T. Services Computing 1(3): 141-154 (2008) |
| 2007 |
| 11 |  | Luh Yen,
François Fouss,
Christine Decaestecker,
Pascal Francq,
Marco Saerens:
Graph Nodes Clustering Based on the Commute-Time Kernel.
PAKDD 2007: 1037-1045 |
| 10 |  | François 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 |  | Youssef Achbany,
François Fouss,
Luh Yen,
Alain Pirotte,
Marco Saerens:
Optimal Tuning of Continual Online Exploration in Reinforcement Learning.
ICANN (1) 2006: 790-800 |
| 8 |  | François Fouss,
Luh Yen,
Alain Pirotte,
Marco Saerens:
An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task.
ICDM 2006: 863-868 |
| 2005 |
| 7 |  | Luh Yen,
Denis Vanvyve,
Fabien Wouters,
François Fouss,
Michel Verleysen,
Marco Saerens:
clustering using a random walk based distance measure.
ESANN 2005: 317-324 |
| 6 |  | François Fouss,
Stéphane Faulkner,
Manuel Kolp,
Alain Pirotte,
Marco Saerens:
Web Recommendation System Based on a Markov-Chainmodel.
ICEIS (4) 2005: 56-63 |
| 5 |  | François 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 |  | Marco Saerens,
François Fouss:
HITS is Principal Components Analysis.
Web Intelligence 2005: 782-785 |
| 2004 |
| 3 |  | Marco Saerens,
François Fouss,
Luh Yen,
Pierre Dupont:
The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering.
ECML 2004: 371-383 |
| 2 |  | Marco Saerens,
François Fouss:
Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach.
Multiple Classifier Systems 2004: 82-91 |
| 2003 |
| 1 |  | François Fouss,
Marco Saerens,
Jean-Michel Renders:
Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains.
ICDM 2003: 521-524 |