Hugues Bersini

2007
44	EE	Hugues Bersini, Christophe Philemotte: Emergent Phenomena Only Belong to Biology. ECAL 2007: 53-62
43	EE	Francisco C. Santos, Hugues Bersini, Tom Lenaerts: Networks Regulating Networks: The Effects of Constraints on Topological Evolution. ECAL 2007: 956-965
42	EE	Christophe Philemotte, Hugues Bersini: A gestalt genetic algorithm: less details for better search. GECCO 2007: 1328-1334
41	EE	Emma Hart, Franciso Santos, Hugues Bersini: Topological Constraints in the Evolution of Idiotypic Networks. ICARIS 2007: 252-263
40	EE	Colin Molter, Utku Salihoglu, Hugues Bersini: How Stochastic Noise Helps Memory Retrieval in a Chaotic Brain. IJCNN 2007: 1458-1463
39	EE	Colin Molter, Utku Salihoglu, Hugues Bersini: The Road to Chaos by Time-Asymmetric Hebbian Learning in Recurrent Neural Networks. Neural Computation 19(1): 80-110 (2007)
2006
38		Hugues Bersini, Jorge Carneiro: Artificial Immune Systems, 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006, Proceedings Springer 2006
37	EE	Christophe Philemotte, Hugues Bersini: How an optimal observer can collapse the search space. GECCO 2006: 1273-1280
36	EE	Emma Hart, Hugues Bersini, Francisco C. Santos: Tolerance vs Intolerance: How Affinity Defines Topology in an Idiotypic Network. ICARIS 2006: 109-121
35	EE	Hugues Bersini: Immune System Modeling: The OO Way. ICARIS 2006: 150-163
34	EE	Colin Molter, Utku Salihoglu, Hugues Bersini: How to prevent spurious data in a chaotic brain. IJCNN 2006: 638-644
2005
33	EE	Christophe Philemotte, Hugues Bersini: CoEvolution of Effective Observers and Observed Multi-agents System. ECAL 2005: 785-794
32	EE	Hugues Bersini, Tom Lenaerts, Francisco C. Santos: Growing Biochemical Networks: Identifying the Intrinsic Properties. ECAL 2005: 864-873
31	EE	Christophe Philemotte, Hugues Bersini: Intrinsic emergence boosts adaptive capacity. GECCO 2005: 559-560
30	EE	Hugues Bersini: Why the First Glass of Wine Is Better Than the Seventh. ICARIS 2005: 100-111
2003
29	EE	Hugues Bersini: Revisiting Idiotypic Immune Networks. ECAL 2003: 164-174
28	EE	Colin Molter, Hugues Bersini: Fascinating Rhythmus by Chaotic Hopfield Networks. ECAL 2003: 191-198
2002
27	EE	Edy Bertolissi, Mauro Birattari, Gianluca Bontempi, Antoine Duchâteau, Hugues Bersini: Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches. Fuzzy Sets and Systems 128(1): 3-14 (2002)
26		Hugues Bersini: The immune and the chemical crossover. IEEE Trans. Evolutionary Computation 6(3): 306-313 (2002)
25	EE	Hugues Bersini, Pierre Sener: The connections between the frustrated chaos and the intermittency chaos in small Hopfield networks. Neural Networks 15(10): 1197-1204 (2002)
2001
24		D. Venet, F. Pecasse, C. Maenhaut, Hugues Bersini: Separation of samples into their constituents using gene expression data. ISMB (Supplement of Bioinformatics) 2001: 279-287
23	EE	Gianluca Bontempi, Hugues Bersini, Mauro Birattari: The local paradigm for modeling and control: from neuro-fuzzy to lazy learning. Fuzzy Sets and Systems 121(1): 59-72 (2001)
2000
22		Hugues Bersini: Chemical Crossover. GECCO 2000: 825-832
21		Gregory Seront, Hugues Bersini: A new GA-Local Search Hybrid for Continuous Optimization Based on Multi-Level Single Linkage Clustering. GECCO 2000: 90-95
20		Gianluca Bontempi, Mauro Birattari, Hugues Bersini: A Model Selection Approach for Local Learning. AI Commun. 13(1): 41-48 (2000)
1999
19		Hugues Bersini: Design Patterns for an Object-Oriented Computational Chemistry. ECAL 1999: 389-398
18		Gianluca Bontempi, Mauro Birattari, Hugues Bersini: Local Learning for Iterated Time-Series Prediction. ICML 1999: 32-38
1998
17		Gianluca Bontempi, Mauro Birattari, Hugues Bersini: Recursive Lazy Learning for Modeling and Control. ECML 1998: 292-303
16	EE	Gianluca Bontempi, Mauro Birattari, Hugues Bersini: Lazy learning for control design. ESANN 1998: 73-78
15	EE	Mauro Birattari, Gianluca Bontempi, Hugues Bersini: Lazy Learning Meets the Recursive Least Squares Algorithm. NIPS 1998: 375-381
14	EE	Hugues Bersini: The frustrated and compositional nature of chaos in small Hopfield networks. Neural Networks 11(6): 1017-1025 (1998)
1997
13		Nathalie Chatenet, Hugues Bersini: Economical Reinforcement Learning for Non Stationary Problems. ICANN 1997: 283-288
12		N. P. Bradshaw, Antoine Duchâteau, Hugues Bersini: Global Least-Squares vs. EM Training for the Gaussian Mixture of Experts. ICANN 1997: 295-300
1996
11		V. Calenbuhr, Hugues Bersini, Francisco J. Varela: Immune Response toward Auto-Ag and Growing-Ag as a Funetion of Network Connectivity. German Conference on Bioinformatics 1996: 179-180
10		Hugues Bersini, Marco Dorigo, Stefan Langerman, Gregory Seront, Luca Maria Gambardella: Results of the First International Contest on Evolutionary Optimisation (1st ICEO). International Conference on Evolutionary Computation 1996: 611-615
9		Gregory Seront, Hugues Bersini: Simplex GA and Hybrid Methods. International Conference on Evolutionary Computation 1996: 845-848
1994
8		Hugues Bersini, Jean-Michel Renders: Hybridizing Genetic Algorithms with Hill-Climbing Methods for Global Optimization: Two Possible Ways. International Conference on Evolutionary Computation 1994: 312-317
7		Stefan Langerman, Gregory Seront, Hugues Bersini: S.T.E.P.: The Easiest Way to Optimize a Function. International Conference on Evolutionary Computation 1994: 519-524
6	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
5		Jean-Michel Renders, Hugues Bersini, Marco Saerens: Adaptive NeuroControl: How Black Box and Simple can it be. ICML 1993: 260-267
1992
4		Hugues Bersini, Gregory Seront: In Search of a Good Evolution-Optimization Crossover. PPSN 1992: 485-494
1991
3		Hugues Bersini, Francisco J. Varela: The Immune Recruitment Mechanism: A Selective Evolutionary Strategy. ICGA 1991: 520-526
1990
2		Hugues Bersini: One Step in the Counter-Representationalist Direction. ECAI 1990: 90-95
1		Hugues Bersini, Francisco J. Varela: Hints for Adaptive Problem Solving Gleaned from Immune Networks. PPSN 1990: 343-354

Coauthor Index

1	Edy Bertolissi	[27]
2	Mauro Birattari	[15] [16] [17] [18] [20] [23] [27]
3	Gianluca Bontempi	[15] [16] [17] [18] [20] [23] [27]
4	N. P. Bradshaw	[12]
5	V. Calenbuhr	[11]
6	Jorge Carneiro	[38]
7	Nathalie Chatenet	[13]
8	Marco Dorigo	[10]
9	Antoine Duchâteau	[12] [27]
10	Luca Maria Gambardella	[10]
11	Emma Hart	[36] [41]
12	Stefan Langerman	[7] [10]
13	Tom Lenaerts	[32] [43]
14	C. Maenhaut	[24]
15	Colin Molter	[28] [34] [39] [40]
16	F. Pecasse	[24]
17	Christophe Philemotte	[31] [33] [37] [42] [44]
18	Jean-Michel Renders	[5] [8]
19	Marco Saerens	[5] [6]
20	Utku Salihoglu	[34] [39] [40]
21	Francisco C. Santos	[32] [36] [43]
22	Franciso Santos	[41]
23	Pierre Sener	[25]
24	Gregory Seront	[4] [7] [9] [10] [21]
25	Luis Gonzalez Sotelino	[6]
26	Francisco J. Varela	[1] [3] [11]
27	D. Venet	[24]

Colors in the list of coauthors