Hugues Bersini

	2012
57		Hugues Bersini: UML for ABM. J. Artificial Societies and Social Simulation 15(1): (2012)
56		Hugues Bersini, Pasquale Stano, Pier Luigi Luisi, Mark A. Bedau: Philosophical and scientific perspectives on emergence. Synthese 185(2): 165-169 (2012)
55		Hugues Bersini: Emergent phenomena belong only to biology. Synthese 185(2): 257-272 (2012)
	2011
54		Chris H. McEwan, Hugues Bersini, David Klatzmann, Vernique Thomas-Vaslin, Adrien Six: Refitting Harel Statecharts for Systemic Mathematical Models in Computational Immunology. ICARIS 2011: 44-50
53		Raphaël Plasson, Axel Brandenburg, Ludovic Jullien, Hugues Bersini: Autocatalysis: At the Root of Self-Replication. Artificial Life 17(3): 219-236 (2011)
52		Jonatan Taminau, David Steenhoff, Alain Coletta, Stijn Meganck, Cosmin Lazar, Virginie de Schaetzen, Robin Duque, Colin Molter, Hugues Bersini, Ann Nowé, David Y. Weiss Solís: inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO. Bioinformatics 27(22): 3204-3205 (2011)
51		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
50		Emma Hart, Hugues Bersini, Francisco C. Santos: Structure versus function: a topological perspective on immune networks. Natural Computing 9(3): 603-624 (2010)
	2009
49		Hugues Bersini: Agent-Based Toy Modeling for Comparing Distributive and Competitive Free Market. ECAL (2) 2009: 262-269
48		Hugues Bersini: Object-Oriented Refactoring of Existing Immune Models. ICARIS 2009: 27-40
47		Utku Salihoglu, Hugues Bersini, Yoko Yamaguchi, Colin Molter: Online organization of chaotic cell assemblies. A model for the cognitive map formation? IJCNN 2009: 2771-2777
46		Tom Lenaerts, Hugues Bersini: A Synthon Approach to Artificial Chemistry. Artificial Life 15(1): 89-103 (2009)
45		Utku Salihoglu, Hugues Bersini, Yoko Yamaguchi, Colin Molter: Online unsupervised formation of cell assemblies for the encoding of multiple cognitive maps. Neural Networks 22(5-6): 687-696 (2009)
	2007
44		Hugues Bersini, Christophe Philemotte: Emergent Phenomena Only Belong to Biology. ECAL 2007: 53-62
43		Francisco C. Santos, Hugues Bersini, Tom Lenaerts: Networks Regulating Networks: The Effects of Constraints on Topological Evolution. ECAL 2007: 956-965
42		Christophe Philemotte, Hugues Bersini: A gestalt genetic algorithm: less details for better search. GECCO 2007: 1328-1334
41		Emma Hart, Franciso Santos, Hugues Bersini: Topological Constraints in the Evolution of Idiotypic Networks. ICARIS 2007: 252-263
40		Colin Molter, Utku Salihoglu, Hugues Bersini: How Stochastic Noise Helps Memory Retrieval in a Chaotic Brain. IJCNN 2007: 1458-1463
39		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		Christophe Philemotte, Hugues Bersini: How an optimal observer can collapse the search space. GECCO 2006: 1273-1280
36		Emma Hart, Hugues Bersini, Francisco C. Santos: Tolerance vs Intolerance: How Affinity Defines Topology in an Idiotypic Network. ICARIS 2006: 109-121
35		Hugues Bersini: Immune System Modeling: The OO Way. ICARIS 2006: 150-163
34		Colin Molter, Utku Salihoglu, Hugues Bersini: How to prevent spurious data in a chaotic brain. IJCNN 2006: 638-644
	2005
33		Christophe Philemotte, Hugues Bersini: CoEvolution of Effective Observers and Observed Multi-agents System. ECAL 2005: 785-794
32		Hugues Bersini, Tom Lenaerts, Francisco C. Santos: Growing Biochemical Networks: Identifying the Intrinsic Properties. ECAL 2005: 864-873
31		Christophe Philemotte, Hugues Bersini: Intrinsic emergence boosts adaptive capacity. GECCO 2005: 559-560
30		Hugues Bersini: Why the First Glass of Wine Is Better Than the Seventh. ICARIS 2005: 100-111
	2003
29		Hugues Bersini: Revisiting Idiotypic Immune Networks. ECAL 2003: 164-174
28		Colin Molter, Hugues Bersini: Fascinating Rhythmus by Chaotic Hopfield Networks. ECAL 2003: 191-198
	2002
27		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		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		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		Gianluca Bontempi, Mauro Birattari, Hugues Bersini: Lazy learning for control design. ESANN 1998: 73-78
15		Mauro Birattari, Gianluca Bontempi, Hugues Bersini: Lazy Learning Meets the Recursive Least Squares Algorithm. NIPS 1998: 375-381
14		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		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	Mark A. Bedau	[56]
2	Edy Bertolissi	[27]
3	Mauro Birattari	[15] [16] [17] [18] [20] [23] [27]
4	Gianluca Bontempi	[15] [16] [17] [18] [20] [23] [27]
5	N. P. Bradshaw	[12]
6	Axel Brandenburg	[53]
7	V. Calenbuhr	[11]
8	Jorge Carneiro	[38]
9	Nathalie Chatenet	[13]
10	Alain Coletta	[52]
11	Marco Dorigo	[10]
12	Antoine Duchâteau	[12] [27]
13	Robin Duque	[52]
14	Pascal Francq	[51]
15	Luca Maria Gambardella	[10]
16	Emma Hart	[36] [41] [50]
17	Ludovic Jullien	[53]
18	David Klatzmann	[54]
19	Stefan Langerman	[7] [10]
20	Cosmin Lazar	[52]
21	Tom Lenaerts	[32] [43] [46]
22	Pier Luigi Luisi	[56]
23	C. Maenhaut	[24]
24	Amin Mantrach	[51]
25	Chris H. McEwan	[54]
26	Stijn Meganck	[52]
27	Colin Molter	[28] [34] [39] [40] [45] [47] [52]
28	Ann Nowé	[52]
29	F. Pecasse	[24]
30	Christophe Philemotte	[31] [33] [37] [42] [44]
31	Raphaël Plasson	[53]
32	Jean-Michel Renders	[5] [8]
33	Marco Saerens	[5] [6] [51]
34	Utku Salihoglu	[34] [39] [40] [45] [47]
35	Francisco C. Santos	[32] [36] [43] [50]
36	Franciso Santos	[41]
37	Virginie de Schaetzen	[52]
38	Pierre Sener	[25]
39	Gregory Seront	[4] [7] [9] [10] [21]
40	Masashi Shimbo	[51]
41	Adrien Six	[54]
42	David Y. Weiss Solís	[52]
43	Luis Gonzalez Sotelino	[6]
44	Pasquale Stano	[56]
45	David Steenhoff	[52]
46	Jonatan Taminau	[52]
47	Vernique Thomas-Vaslin	[54]
48	Francisco J. Varela	[1] [3] [11]
49	D. Venet	[24]
50	Yoko Yamaguchi	[45] [47]
51	Nicolas van Zeebroeck	[51]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page