Marco Saerens

	2009
27		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)
26		Marco Saerens, Youssef Achbany, François Fouss, Luh Yen: Randomized Shortest-Path Problems: Two Related Models. Neural Computation 21(8): 2363-2404 (2009)
25		Benoît Frénay, Marco Saerens: 2S2, a simple reinforcement learning scheme for two-player zero-sum Markov games. Neurocomputing 72(7-9): 1494-1507 (2009)
	2008
24		Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont: Semi-supervised Classification from Discriminative Random Walks. ECML/PKDD (1) 2008: 162-177
23		Benoît Frénay, Marco Saerens: QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games. ESANN 2008: 137-142
22		Luh Yen, Marco Saerens, Amin Mantrach, Masashi Shimbo: A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances. KDD 2008: 785-793
21		François Fouss, Marco Saerens: Evaluating Performance of Recommender Systems: An Experimental Comparison. Web Intelligence 2008: 735-738
	2007
20		Ivan Jureta, Stéphane Faulkner, Youssef Achbany, Marco Saerens: Dynamic task allocation within an open service-oriented MAS architecture. AAMAS 2007: 206
19		Ivan Jureta, Stéphane Faulkner, Youssef Achbany, Marco Saerens: Dynamic Web Service Composition within a Service-Oriented Architecture. ICWS 2007: 304-311
18		Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens: Graph Nodes Clustering Based on the Commute-Time Kernel. PAKDD 2007: 1037-1045
17		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
16		Youssef Achbany, François Fouss, Luh Yen, Alain Pirotte, Marco Saerens: Optimal Tuning of Continual Online Exploration in Reinforcement Learning. ICANN (1) 2006: 790-800
15		François Fouss, Luh Yen, Alain Pirotte, Marco Saerens: An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task. ICDM 2006: 863-868
14		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
13		Luh Yen, Denis Vanvyve, Fabien Wouters, François Fouss, Michel Verleysen, Marco Saerens: clustering using a random walk based distance measure. ESANN 2005: 317-324
12		François Fouss, Stéphane Faulkner, Manuel Kolp, Alain Pirotte, Marco Saerens: Web Recommendation System Based on a Markov-Chainmodel. ICEIS (4) 2005: 56-63
11		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
10		Marco Saerens, François Fouss: HITS is Principal Components Analysis. Web Intelligence 2005: 782-785
	2004
9		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
8		Marco Saerens, François Fouss: Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach. Multiple Classifier Systems 2004: 82-91
	2003
7		François Fouss, Marco Saerens, Jean-Michel Renders: Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains. ICDM 2003: 521-524
	2002
6		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
5		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
4		Marco Saerens: Non Mean Square Error Criteria for the Training of Learning Machines. ICML 1996: 427-434
	1994
3		Luis Gonzalez Sotelino, Marco Saerens, Hugues Bersini: Classification of temporal trajectories by continuous-time recurrent nets. Neural Networks 7(5): 767-776 (1994)
	1993
2		Jean-Michel Renders, Hugues Bersini, Marco Saerens: Adaptive NeuroControl: How Black Box and Simple can it be. ICML 1993: 260-267
1		Marco Saerens: A continuous-time dynamic formulation of Viterbi algorithm for one-Gaussian-per-state hidden Markov models. Speech Communication 12(4): 321-333 (1993)

Coauthor Index

1	Youssef Achbany	[16] [19] [20] [26]
2	Hugues Bersini	[2] [3]
3	Jérôme Callut	[24]
4	Christine Decaestecker	[5] [6] [18] [27]
5	Pierre Dupont	[9] [24]
6	Stéphane Faulkner	[12] [19] [20]
7	François Fouss	[7] [8] [9] [10] [11] [12] [13] [15] [16] [17] [18] [21] [26] [27]
8	Kevin Françoisse	[24]
9	Pascal Francq	[18] [27]
10	Benoît Frénay	[23] [25]
11	Ivan Jureta	[19] [20]
12	Manuel Kolp	[12]
13	Patrice Latinne	[5] [6]
14	Amin Mantrach	[22]
15	Alain Pirotte	[11] [12] [15] [16] [17]
16	Jean-Michel Renders	[2] [7] [17]
17	Masashi Shimbo	[22]
18	Luis Gonzalez Sotelino	[3]
19	Denis Vanvyve	[13]
20	Michel Verleysen	[13]
21	Fabien Wouters	[13]
22	Luh Yen	[9] [13] [15] [16] [18] [22] [26] [27]

Colors in the list of coauthors