Marco Saerens

	2011
42		Silvia García-Díez, Eric Vandenbussche, Marco Saerens: A continuous-state version of discrete randomized shortest-paths, with application to path planning. CDC-ECE 2011: 6570-6577
41		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
40		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)
39		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)
38		Amin Mantrach, Nicolas van Zeebroeck, Pascal Francq, Masashi Shimbo, Hugues Bersini, Marco Saerens: Semi-supervised classification and betweenness computation on large, sparse, directed graphs. Pattern Recognition 44(6): 1212-1224 (2011)
	2010
37		Silvia García-Díez, François Fouss, Masashi Shimbo, Marco Saerens: Normalized Sum-over-Paths Edit Distances. ICPR 2010: 1044-1047
36		Amin Mantrach, Luh Yen, Jérôme Callut, Kevin Françoisse, Masashi Shimbo, Marco Saerens: The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph. IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 1112-1126 (2010)
35		François Fouss, Youssef Achbany, Marco Saerens: A probabilistic reputation model based on transaction ratings. Inf. Sci. 180(11): 2095-2123 (2010)
	2009
34		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)
33		Marco Saerens, Youssef Achbany, François Fouss, Luh Yen: Randomized Shortest-Path Problems: Two Related Models. Neural Computation 21(8): 2363-2404 (2009)
32		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
31		Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont: Semi-supervised Classification from Discriminative Random Walks. ECML/PKDD (1) 2008: 162-177
30		Benoît Frénay, Marco Saerens: QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games. ESANN 2008: 137-142
29		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
28		François Fouss, Marco Saerens: Evaluating Performance of Recommender Systems: An Experimental Comparison. Web Intelligence 2008: 735-738
	2007
27		Ivan Jureta, Stéphane Faulkner, Youssef Achbany, Marco Saerens: Dynamic task allocation within an open service-oriented MAS architecture. AAMAS 2007: 206
26		Ivan Jureta, Stéphane Faulkner, Youssef Achbany, Marco Saerens: Dynamic Web Service Composition within a Service-Oriented Architecture. ICWS 2007: 304-311
25		Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens: Graph Nodes Clustering Based on the Commute-Time Kernel. PAKDD 2007: 1037-1045
24		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
23		Youssef Achbany, François Fouss, Luh Yen, Alain Pirotte, Marco Saerens: Optimal Tuning of Continual Online Exploration in Reinforcement Learning. ICANN (1) 2006: 790-800
22		François Fouss, Luh Yen, Alain Pirotte, Marco Saerens: An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task. ICDM 2006: 863-868
21		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
20		Luh Yen, Denis Vanvyve, Fabien Wouters, François Fouss, Michel Verleysen, Marco Saerens: clustering using a random walk based distance measure. ESANN 2005: 317-324
19		François Fouss, Stéphane Faulkner, Manuel Kolp, Alain Pirotte, Marco Saerens: Web Recommendation System Based on a Markov-Chainmodel. ICEIS (4) 2005: 56-63
18		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
17		Marco Saerens, François Fouss: HITS is Principal Components Analysis. Web Intelligence 2005: 782-785
	2004
16		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
15		Marco Saerens, François Fouss: Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach. Multiple Classifier Systems 2004: 82-91
	2003
14		François Fouss, Marco Saerens, Jean-Michel Renders: Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains. ICDM 2003: 521-524
	2002
13		Marco Saerens, Patrice Latinne, Christine Decaestecker: Any reasonable cost function can be used for a posteriori probability approximation. IEEE Transactions on Neural Networks 13(5): 1204-1210 (2002)
12		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
11		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
	2000
10		Marco Saerens: Building cost functions minimizing to some summary statistics. IEEE Trans. Neural Netw. Learning Syst. 11(6): 1263-1271 (2000)
	1996
9		Marco Saerens: Non Mean Square Error Criteria for the Training of Learning Machines. ICML 1996: 427-434
	1994
8		Alain Soquet, Marco Saerens: A comparison of different acoustic and articulatory representations for the determination of place of articulation of plosives. ICSLP 1994
7		Luis Gonzalez Sotelino, Marco Saerens, Hugues Bersini: Classification of temporal trajectories by continuous-time recurrent nets. Neural Networks 7(5): 767-776 (1994)
	1993
6		Tony Robinson, Luís B. Almeida, Jean-Marc Boite, Hervé Bourlard, Frank Fallside, Mike Hochberg, Dan J. Kershaw, Phil Kohn, Yochai Konig, Nelson Morgan, João Paulo Neto, Steve Renals, Marco Saerens, Chuck Wooters: A neural network based, speaker independent, large vocabulary, continuous speech recognition system: the WERNICKE project. EUROSPEECH 1993
5		Marco Saerens: Hidden Markov models assuming a continuous-time dynamic emission of acoustic vectors. EUROSPEECH 1993
4		Marco Saerens, Hervé Bourlard: Linear and nonlinear prediction for speech recognition with hidden Markov models. EUROSPEECH 1993
3		Hervé Bourlard, Jean-Marc Boite, Bart D'hoore, Marco Saerens: Performance comparison of hidden Markov models and neural networks for task dependent and independent isolated word recognition. EUROSPEECH 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	[23] [26] [27] [33] [35]
2	Luís B. Almeida	[6]
3	Hugues Bersini	[2] [7] [38]
4	Jean-Marc Boite	[3] [6]
5	Hervé Bourlard	[3] [4] [6]
6	Jérôme Callut	[31] [36]
7	Bart D'hoore	[3]
8	Christine Decaestecker	[11] [12] [13] [25] [34]
9	Pierre Dupont	[16] [31]
10	Frank Fallside	[6]
11	Stéphane Faulkner	[19] [26] [27]
12	François Fouss	[14] [15] [16] [17] [18] [19] [20] [22] [23] [24] [25] [28] [33] [34] [35] [37] [39] [40] [41]
13	Kevin Françoisse	[31] [36]
14	Pascal Francq	[25] [34] [38]
15	Benoît Frénay	[30] [32]
16	Silvia García-Díez	[37] [39] [41] [42]
17	Mike Hochberg (Michael M. Hochberg)	[6]
18	Ivan Jureta	[26] [27]
19	Dan J. Kershaw	[6]
20	Phil Kohn	[6]
21	Manuel Kolp	[19]
22	Yochai Konig	[6]
23	Patrice Latinne	[11] [12] [13]
24	Amin Mantrach	[29] [36] [38]
25	Nelson Morgan	[6]
26	João Paulo Neto	[6]
27	Alain Pirotte	[18] [19] [22] [23] [24]
28	Steve Renals	[6]
29	Jean-Michel Renders	[2] [14] [24]
30	Tony Robinson	[6]
31	Mathieu Senelle	[41]
32	Masashi Shimbo	[29] [36] [37] [38] [39]
33	Alain Soquet	[8]
34	Luis Gonzalez Sotelino	[7]
35	Eric Vandenbussche	[42]
36	Denis Vanvyve	[20]
37	Michel Verleysen	[20]
38	Chuck Wooters	[6]
39	Fabien Wouters	[20]
40	Luh Yen	[16] [20] [22] [23] [25] [29] [33] [34] [36] [40]
41	Nicolas van Zeebroeck	[38]

Colors in the list of coauthors

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