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Hugues Bersini: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hugues Bersini
    One Step in the Counter-Representationalist Direction. [Citation Graph (0, 0)][DBLP]
    ECAI, 1990, pp:90-95 [Conf]
  2. Hugues Bersini
    Revisiting Idiotypic Immune Networks. [Citation Graph (0, 0)][DBLP]
    ECAL, 2003, pp:164-174 [Conf]
  3. Hugues Bersini
    Design Patterns for an Object-Oriented Computational Chemistry. [Citation Graph (0, 0)][DBLP]
    ECAL, 1999, pp:389-398 [Conf]
  4. Hugues Bersini, Tom Lenaerts, Francisco C. Santos
    Growing Biochemical Networks: Identifying the Intrinsic Properties. [Citation Graph (0, 0)][DBLP]
    ECAL, 2005, pp:864-873 [Conf]
  5. Colin Molter, Hugues Bersini
    Fascinating Rhythmus by Chaotic Hopfield Networks. [Citation Graph (0, 0)][DBLP]
    ECAL, 2003, pp:191-198 [Conf]
  6. Christophe Philemotte, Hugues Bersini
    CoEvolution of Effective Observers and Observed Multi-agents System. [Citation Graph (0, 0)][DBLP]
    ECAL, 2005, pp:785-794 [Conf]
  7. Gianluca Bontempi, Mauro Birattari, Hugues Bersini
    Recursive Lazy Learning for Modeling and Control. [Citation Graph (0, 0)][DBLP]
    ECML, 1998, pp:292-303 [Conf]
  8. Gianluca Bontempi, Mauro Birattari, Hugues Bersini
    Lazy learning for control design. [Citation Graph (0, 0)][DBLP]
    ESANN, 1998, pp:73-78 [Conf]
  9. V. Calenbuhr, Hugues Bersini, Francisco J. Varela
    Immune Response toward Auto-Ag and Growing-Ag as a Funetion of Network Connectivity. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 1996, pp:179-180 [Conf]
  10. Hugues Bersini
    Chemical Crossover. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:825-832 [Conf]
  11. Christophe Philemotte, Hugues Bersini
    Intrinsic emergence boosts adaptive capacity. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:559-560 [Conf]
  12. Christophe Philemotte, Hugues Bersini
    How an optimal observer can collapse the search space. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1273-1280 [Conf]
  13. Gregory Seront, Hugues Bersini
    A new GA-Local Search Hybrid for Continuous Optimization Based on Multi-Level Single Linkage Clustering. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:90-95 [Conf]
  14. N. P. Bradshaw, Antoine Duchâteau, Hugues Bersini
    Global Least-Squares vs. EM Training for the Gaussian Mixture of Experts. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:295-300 [Conf]
  15. Nathalie Chatenet, Hugues Bersini
    Economical Reinforcement Learning for Non Stationary Problems. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:283-288 [Conf]
  16. Hugues Bersini
    Why the First Glass of Wine Is Better Than the Seventh. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2005, pp:100-111 [Conf]
  17. Emma Hart, Hugues Bersini, Francisco C. Santos
    Tolerance vs Intolerance: How Affinity Defines Topology in an Idiotypic Network. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2006, pp:109-121 [Conf]
  18. Hugues Bersini
    Immune System Modeling: The OO Way. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2006, pp:150-163 [Conf]
  19. Hugues Bersini, Marco Dorigo, Stefan Langerman, Gregory Seront, Luca Maria Gambardella
    Results of the First International Contest on Evolutionary Optimisation (1st ICEO). [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:611-615 [Conf]
  20. Hugues Bersini, Jean-Michel Renders
    Hybridizing Genetic Algorithms with Hill-Climbing Methods for Global Optimization: Two Possible Ways. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:312-317 [Conf]
  21. Stefan Langerman, Gregory Seront, Hugues Bersini
    S.T.E.P.: The Easiest Way to Optimize a Function. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:519-524 [Conf]
  22. Gregory Seront, Hugues Bersini
    Simplex GA and Hybrid Methods. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:845-848 [Conf]
  23. Hugues Bersini, Francisco J. Varela
    The Immune Recruitment Mechanism: A Selective Evolutionary Strategy. [Citation Graph (0, 0)][DBLP]
    ICGA, 1991, pp:520-526 [Conf]
  24. Gianluca Bontempi, Mauro Birattari, Hugues Bersini
    Local Learning for Iterated Time-Series Prediction. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:32-38 [Conf]
  25. 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]
  26. D. Venet, F. Pecasse, C. Maenhaut, Hugues Bersini
    Separation of samples into their constituents using gene expression data. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2001, pp:279-287 [Conf]
  27. Mauro Birattari, Gianluca Bontempi, Hugues Bersini
    Lazy Learning Meets the Recursive Least Squares Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:375-381 [Conf]
  28. Hugues Bersini, Gregory Seront
    In Search of a Good Evolution-Optimization Crossover. [Citation Graph (0, 0)][DBLP]
    PPSN, 1992, pp:485-494 [Conf]
  29. Hugues Bersini, Francisco J. Varela
    Hints for Adaptive Problem Solving Gleaned from Immune Networks. [Citation Graph (0, 0)][DBLP]
    PPSN, 1990, pp:343-354 [Conf]
  30. Gianluca Bontempi, Mauro Birattari, Hugues Bersini
    A Model Selection Approach for Local Learning. [Citation Graph (0, 0)][DBLP]
    AI Commun., 2000, v:13, n:1, pp:41-48 [Journal]
  31. Edy Bertolissi, Mauro Birattari, Gianluca Bontempi, Antoine Duchâteau, Hugues Bersini
    Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2002, v:128, n:1, pp:3-14 [Journal]
  32. Gianluca Bontempi, Hugues Bersini, Mauro Birattari
    The local paradigm for modeling and control: from neuro-fuzzy to lazy learning. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2001, v:121, n:1, pp:59-72 [Journal]
  33. Colin Molter, Utku Salihoglu, Hugues Bersini
    The Road to Chaos by Time-Asymmetric Hebbian Learning in Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2007, v:19, n:1, pp:80-110 [Journal]
  34. Hugues Bersini
    The frustrated and compositional nature of chaos in small Hopfield networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1998, v:11, n:6, pp:1017-1025 [Journal]
  35. Hugues Bersini, Pierre Sener
    The connections between the frustrated chaos and the intermittency chaos in small Hopfield networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:10, pp:1197-1204 [Journal]
  36. 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]
  37. Hugues Bersini
    The immune and the chemical crossover. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2002, v:6, n:3, pp:306-313 [Journal]
  38. Francisco C. Santos, Hugues Bersini, Tom Lenaerts
    Networks Regulating Networks: The Effects of Constraints on Topological Evolution. [Citation Graph (0, 0)][DBLP]
    ECAL, 2007, pp:956-965 [Conf]
  39. Hugues Bersini, Christophe Philemotte
    Emergent Phenomena Only Belong to Biology. [Citation Graph (0, 0)][DBLP]
    ECAL, 2007, pp:53-62 [Conf]
  40. Christophe Philemotte, Hugues Bersini
    A gestalt genetic algorithm: less details for better search. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1328-1334 [Conf]
  41. Emma Hart, Franciso Santos, Hugues Bersini
    Topological Constraints in the Evolution of Idiotypic Networks. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2007, pp:252-263 [Conf]

  42. Object-Oriented Refactoring of Existing Immune Models. [Citation Graph (, )][DBLP]


  43. How Stochastic Noise Helps Memory Retrieval in a Chaotic Brain. [Citation Graph (, )][DBLP]


  44. How to prevent spurious data in a chaotic brain. [Citation Graph (, )][DBLP]


  45. A Synthon Approach to Artificial Chemistry. [Citation Graph (, )][DBLP]


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