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Marco Saerens: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Marco Saerens, Francois Fouss, Luh Yen, Pierre Dupont
    The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:371-383 [Conf]
  2. Luh Yen, Denis Vanvyve, Fabien Wouters, Francois Fouss, Michel Verleysen, Marco Saerens
    clustering using a random walk based distance measure. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:317-324 [Conf]
  3. Youssef Achbany, Francois Fouss, Luh Yen, Alain Pirotte, Marco Saerens
    Optimal Tuning of Continual Online Exploration in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:790-800 [Conf]
  4. Francois Fouss, Marco Saerens, Jean-Michel Renders
    Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:521-524 [Conf]
  5. Francois Fouss, Luh Yen, Alain Pirotte, Marco Saerens
    An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:863-868 [Conf]
  6. Francois Fouss, Stéphane Faulkner, Manuel Kolp, Alain Pirotte, Marco Saerens
    Web Recommendation System Based on a Markov-Chainmodel. [Citation Graph (0, 0)][DBLP]
    ICEIS (4), 2005, pp:56-63 [Conf]
  7. 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. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:298-305 [Conf]
  8. Marco Saerens
    Non Mean Square Error Criteria for the Training of Learning Machines. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:427-434 [Conf]
  9. Jean-Michel Renders, Hugues Bersini, Marco Saerens
    Adaptive NeuroControl: How Black Box and Simple can it be. [Citation Graph (0, 0)][DBLP]
    ICML, 1993, pp:260-267 [Conf]
  10. Marco Saerens, Francois Fouss
    Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:82-91 [Conf]
  11. Francois Fouss, Alain Pirotte, Marco Saerens
    A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2005, pp:550-556 [Conf]
  12. Marco Saerens, Francois Fouss
    HITS is Principal Components Analysis. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2005, pp:782-785 [Conf]
  13. 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). [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2006, v:157, n:16, pp:2286-2288 [Journal]
  14. Marco Saerens, Patrice Latinne, Christine Decaestecker
    Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:1, pp:21-41 [Journal]
  15. Luis Gonzalez Sotelino, Marco Saerens, Hugues Bersini
    Classification of temporal trajectories by continuous-time recurrent nets. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:5, pp:767-776 [Journal]
  16. Francois Fouss, Alain Pirotte, Jean-Michel Renders, Marco Saerens
    Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:3, pp:355-369 [Journal]
  17. Ivan Jureta, Stéphane Faulkner, Youssef Achbany, Marco Saerens
    Dynamic Web Service Composition within a Service-Oriented Architecture. [Citation Graph (0, 0)][DBLP]
    ICWS, 2007, pp:304-311 [Conf]
  18. Luh Yen, Francois Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens
    Graph Nodes Clustering Based on the Commute-Time Kernel. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2007, pp:1037-1045 [Conf]

  19. Dynamic task allocation within an open service-oriented MAS architecture. [Citation Graph (, )][DBLP]


  20. QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games. [Citation Graph (, )][DBLP]


  21. A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances. [Citation Graph (, )][DBLP]


  22. Semi-supervised Classification from Discriminative Random Walks. [Citation Graph (, )][DBLP]


  23. Evaluating Performance of Recommender Systems: An Experimental Comparison. [Citation Graph (, )][DBLP]


  24. Graph nodes clustering with the sigmoid commute-time kernel: A comparative study. [Citation Graph (, )][DBLP]


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