Marco Saerens

2007
19	EE	Ivan Jureta, Stéphane Faulkner, Youssef Achbany, Marco Saerens: Dynamic task allocation within an open service-oriented MAS architecture. AAMAS 2007: 206
18	EE	Ivan Jureta, Stéphane Faulkner, Youssef Achbany, Marco Saerens: Dynamic Web Service Composition within a Service-Oriented Architecture. ICWS 2007: 304-311
17	EE	Luh Yen, Francois Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens: Graph Nodes Clustering Based on the Commute-Time Kernel. PAKDD 2007: 1037-1045
16	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
15	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
14	EE	Francois Fouss, Luh Yen, Alain Pirotte, Marco Saerens: An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task. ICDM 2006: 863-868
13	EE	Marco Saerens: Hung T. Nguyen, Nadipuram R. Prasad, Carol L. Walker and Elbert A. Walker, Editors, A First Course in Fuzzy 3 and Neural Control, Chapman & Hall/CRC Press (2003). Fuzzy Sets and Systems 157(16): 2286-2288 (2006)
2005
12	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
11		Francois Fouss, Stéphane Faulkner, Manuel Kolp, Alain Pirotte, Marco Saerens: Web Recommendation System Based on a Markov-Chainmodel. ICEIS (4) 2005: 56-63
10	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
9	EE	Marco Saerens, Francois Fouss: HITS is Principal Components Analysis. Web Intelligence 2005: 782-785
2004
8	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
7	EE	Marco Saerens, Francois Fouss: Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach. Multiple Classifier Systems 2004: 82-91
2003
6	EE	Francois Fouss, Marco Saerens, Jean-Michel Renders: Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains. ICDM 2003: 521-524
2002
5	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)
2001
4		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
1996
3		Marco Saerens: Non Mean Square Error Criteria for the Training of Learning Machines. ICML 1996: 427-434
1994
2	EE	Luis Gonzalez Sotelino, Marco Saerens, Hugues Bersini: Classification of temporal trajectories by continuous-time recurrent nets. Neural Networks 7(5): 767-776 (1994)
1993
1		Jean-Michel Renders, Hugues Bersini, Marco Saerens: Adaptive NeuroControl: How Black Box and Simple can it be. ICML 1993: 260-267

Coauthor Index

1	Youssef Achbany	[15] [18] [19]
2	Hugues Bersini	[1] [2]
3	Christine Decaestecker	[4] [5] [17]
4	Pierre Dupont	[8]
5	Stéphane Faulkner	[11] [18] [19]
6	Francois Fouss	[6] [7] [8] [9] [10] [11] [12] [14] [15] [16] [17]
7	Pascal Francq	[17]
8	Ivan Jureta	[18] [19]
9	Manuel Kolp	[11]
10	Patrice Latinne	[4] [5]
11	Alain Pirotte	[10] [11] [14] [15] [16]
12	Jean-Michel Renders	[1] [6] [16]
13	Luis Gonzalez Sotelino	[2]
14	Denis Vanvyve	[12]
15	Michel Verleysen	[12]
16	Fabien Wouters	[12]
17	Luh Yen	[8] [12] [14] [15] [17]