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Jean-Gabriel Ganascia Vis

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*2009
63 Jean-Gabriel Ganascia, Pierre Gançarski: Extraction et gestion des connaissances (EGC'2009), Actes, Strasbourg, 27 au 30 janvier 2009 Cépaduès-Éditions 2009
62 Claire Laudy, Jean-Gabriel Ganascia: Fusion symbolique pour la recommandation de programmes télévisés. EGC 2009: 445-446
61EEClaire Laudy, Bassel Habib, Jean-Gabriel Ganascia: Fusion of Claude Bernard's Experiments for Scientific Discovery Reasoning. ICCS 2009: 219-232
60EEJean-Gabriel Ganascia: AI Viewed as a "Science of the Culture". KI 2009: 371-378
2008
59EEJean-Gabriel Ganascia: The Plaited Structure of Time in Information Technology. AISB Convention 2008: 59-64
58EEJean-Gabriel Ganascia, Charles Madeira, Karan Fouladi: An Adaptive Cartography of DTV Programs. EuroITV 2008: 253-262
57 Bassel Habib, Jean-Gabriel Ganascia: Using AI to Reconstruct Claude Bernard's Empirical Investigations. IC-AI 2008: 496-501
56EEAdrien Ugon, Carole Philippe, Slawomir Pietrasz, Jean-Gabriel Ganascia, Pierre P. Lévy: OPTISAS a new method to analyse patients with Sleep Apnea Syndrome. MIE 2008: 547-552
2007
55EEJulien Velcin, Jean-Gabriel Ganascia: Topic Extraction with AGAPE. ADMA 2007: 377-388
54EEJean-Gabriel Ganascia, Bassel Habib: An Attempt to Rebuild C. Bernard's Scientific Steps. Discovery Science 2007: 248-252
53 Julien Velcin, William Vacher, Jean-Gabriel Ganascia: Logiciel d'aide à l'évaluation des catégorisations. EGC 2007: 175-176
52 Julien Velcin, Jean-Gabriel Ganascia: A Tabu-based Approach for Topic Extraction. MLDM Posters 2007: 41-54
51EEJean-Gabriel Ganascia, Claude Debru: CYBERNARD: A Computational Reconstruction of Claude Bernard's Scientific Discoveries. Model-Based Reasoning in Science, Technology, and Medicine 2007: 497-510
50EEJulien Velcin, Jean-Gabriel Ganascia: Default Clustering with Conceptual Structures. J. Data Semantics 8: 1-25 (2007)
2006
49EEJulien Bourdaillet, Jean-Gabriel Ganascia: MEDITE: A Unilingual Textual Aligner. FinTAL 2006: 458-469
48EEJean-Gabriel Ganascia: AC3 - Automatic Cartography of Cultural Contents. VIEW 2006: 253-263
2005
47EEJulien Velcin, Jean-Gabriel Ganascia: Default Clustering from Sparse Data Sets. ECSQARU 2005: 968-979
46EEJulien Velcin, Jean-Gabriel Ganascia: Stereotype Extraction with Default Clustering. IJCAI 2005: 883-888
2004
45EECharles-David Wajnberg, Vincent Corruble, Jean-Gabriel Ganascia, C. Ulises Moulines: A Structuralist Approach Towards Computational Scientific Discovery. Discovery Science 2004: 412-419
44EEJulien Velcin, Jean-Gabriel Ganascia: Modeling Default Induction with Conceptual Structures. ER 2004: 83-95
43EEJean-Gabriel Ganascia, Julien Velcin: Clustering of Conceptual Graphs with Sparse Data. ICCS 2004: 156-169
2002
42EEPierre-Yves Rolland, Jean-Gabriel Ganascia: Pattern Detection and Discovery: The Case of Music Data Mining. Pattern Detection and Discovery 2002: 190-198
2001
41EEJean-Gabriel Ganascia: Extraction of Recurrent Patterns from Stratified Ordered Trees. ECML 2001: 167-178
2000
40EEJean-Christophe Baillie, Jean-Gabriel Ganascia: Qualitative Descriptors and Action Perception. Canadian Conference on AI 2000: 316-325
39 Jean-Christophe Baillie, Jean-Gabriel Ganascia: Action Categorization from Video Sequences. ECAI 2000: 643-647
38 Pierre-Yves Rolland, Jean-Gabriel Ganascia: Musical Pattern Extraction and Similarity Assessment. Readings in Music and Artificial Intelligence 2000: 115-144
1999
37EEPierre-Yves Rolland, Gailius Raskinis, Jean-Gabriel Ganascia: Musical content-based retrieval: an overview of the Melodiscov approach and system. ACM Multimedia (1) 1999: 81-84
1998
36 Jean-Daniel Zucker, Jean-Gabriel Ganascia: Learning Structurally Indeterminate Clauses. ILP 1998: 235-244
35EEJean-Daniel Zucker, Jean-Gabriel Ganascia, Isabelle Bournaud: Relational Knowledge Discovery in a Chinese Character Database. Applied Artificial Intelligence 12(5): 455-488 (1998)
1997
34EECatherine Faron, Jean-Gabriel Ganascia: Representation of Defaults and Exceptions in Conceptual Graphs Formalism. ICCS 1997: 153-167
33EEIsabelle Bournaud, Jean-Gabriel Ganascia: Accounting for Domain Knowledge in the Construction of a Generalization Space. ICCS 1997: 446-459
32EEChristophe Meyer, Irina Akoulchina, Jean-Gabriel Ganascia: Two Approaches of Human Behavior Anticipation. ICTAI 1997: 19-22
31 Christophe Meyer, Jean-Gabriel Ganascia, Jean-Daniel Zucker: Learning Strategies in Games by Anticipation. IJCAI (1) 1997: 698-707
30EEVincent Corruble, Jean-Gabriel Ganascia: Induction and the Discovery of the Causes of Scurvy: A Computational Reconstruction. Artif. Intell. 91(2): 205-223 (1997)
1996
29 Vincent Corruble, Jean-Gabriel Ganascia: The Discovery of the Causes of Leprosy: A Computational Analysis. AAAI/IAAI, Vol. 1 1996: 731-736
28 Mourad Sefrioui, Jacques Périaux, Jean-Gabriel Ganascia: Fast Convergence Thanks to Diversity. Evolutionary Programming 1996: 313-321
27 Stephan Grolimund, Jean-Gabriel Ganascia: Speeding-up Nearest Neighbour Memories: The Template Tree Case Memory Organisation. ICML 1996: 225-233
26 Jean-Daniel Zucker, Jean-Gabriel Ganascia: Representation Changes for Efficient Learning in Structural Domains. ICML 1996: 543-551
25 Isabelle Bournaud, Jean-Gabriel Ganascia: Construction de hiérarchies conceptuelles pour l'organisation de connaissances. LMO 1996: 120-133
1995
24 Stephan Grolimund, Jean-Gabriel Ganascia: Integrating Case Based Reasoning and Tabu Search for Solving Optimisation Problems. ICCBR 1995: 451-460
23EEIsabelle Bournaud, Jean-Gabriel Ganascia: Conceptual Clustering of Complex Objects: A Generalization Space based Approach. ICCS 1995: 173-187
22 Isabelle Moulinier, Jean-Gabriel Ganascia: Applying an existing machine learning algorithm to text categorization. Learning for Natural Language Processing 1995: 343-354
1994
21 Geber Ramalho, Jean-Gabriel Ganascia: Simulating Creativity in Jazz Performance. AAAI 1994: 108-113
20 Irina Tchoumatchenko, Jean-Gabriel Ganascia: A Baysian Framework to Integrate Symbolic and Neural Learning. ICML 1994: 302-308
19 Jean-Daniel Zucker, Jean-Gabriel Ganascia: Selective Reformulation of Examples in Concept Learning. ICML 1994: 352-360
1993
18 Nathalie Aussenac-Gilles, Guy A. Boy, Brian R. Gaines, Jean-Gabriel Ganascia, Yves Kodratoff, Marc Linster: Knowledge Acquisition for Knowledge-Based Systems, 7th European Workshop, EKAW'93, Toulouse and Caylus, France, September 6-10, 1993, Proceedings Springer 1993
17 Jean-Gabriel Ganascia: Algebraic Structure of Some Learning Systems. ALT 1993: 398-409
16EEJean-Gabriel Ganascia, Jérôme Thomas, Philippe Laublet: Integrating Models of Knowledge and Machine Learning. ECML 1993: 396-401
15 Jérôme Thomas, Philippe Laublet, Jean-Gabriel Ganascia: A Machine Learning Tool Designed for a Model-Based Knowledge Acquisition Approach. EKAW 1993: 123-138
14 Catherine Vicat, Alain Busac, Jean-Gabriel Ganascia: CERISE: A Cyclic Approach for Knowledge Acquisition. EKAW 1993: 237-255
13EEEsma Aïmeur, Jean-Gabriel Ganascia: Elicitation of Taxonomies Based on the Use of Conceptual Graph Operators. ICCS 1993: 361-380
12 Jean-Gabriel Ganascia: TDIS : an Algebraic Formalization. IJCAI 1993: 1008-1015
11 Geber Ramalho, Jean-Gabriel Ganascia: The Role of Musical Memory in Creativity and Learning: A Study of Jazz Performance. Music Education: An Artificial Intelligence Approach 1993: 143-156
1992
10 Frédéric Mesnard, Jean-Gabriel Ganascia: CLP(X) for proving prgram properties. JFPL 1992: 328-
9 Frédéric Mesnard, Jean-Gabriel Ganascia: CLP(Q) for Proving Interargument Relations. META 1992: 308-320
1991
8EEF. Zerr, Jean-Gabriel Ganascia: Integrating an Explanation-Based Learning Mechanism into a General Problem-Solver. EWSL 1991: 62-80
7 Frédéric Mesnard, Jean-Gabriel Ganascia: A propos du contrôle de la résolution. JTASPEFT/WSA 1991: 125-131
1988
6 Jean-Gabriel Ganascia: Improvement and Refinement of the Learning Bias Semantic. ECAI 1988: 384-389
1987
5 Jean-Gabriel Ganascia: Learning with Hilbert Cubes. EWSL 1987: 158-171
4 Jean-Gabriel Ganascia: CHARADE: A Rule System Learning System. IJCAI 1987: 345-347
1984
3 Yves Kodratoff, Jean-Gabriel Ganascia, B. Clavieras, Toni Bollinger, Gheorghe Tecuci: Careful Generalization for Concept Learning. ECAI 1984: 229-238
2 Yves Kodratoff, Jean-Gabriel Ganascia, Toni Bollinger: Using Structural Matching for Generalizing Examples. GWAI 1984: 199-208
1 Jean-Gabriel Ganascia: Using an Expert System in Merging Qualitative and Quantitative Data Analysis. International Journal of Man-Machine Studies 20(3): 319-330 (1984)

Coauthor Index

1Esma Aïmeur [13]
2Irina Akoulchina [32]
3Nathalie Aussenac-Gilles [18]
4Jean-Christophe Baillie [39] [40]
5Toni Bollinger [2] [3]
6Julien Bourdaillet [49]
7Isabelle Bournaud [23] [25] [33] [35]
8Guy A. Boy [18]
9Alain Busac [14]
10B. Clavieras [3]
11Vincent Corruble [29] [30] [45]
12Claude Debru [51]
13Catherine Faron-Zucker (Catherine Faron) [34]
14Karan Fouladi [58]
15Brian R. Gaines [18]
16Pierre Gançarski [63]
17Stephan Grolimund [24] [27]
18Bassel Habib [54] [57] [61]
19Yves Kodratoff [2] [3] [18]
20Philippe Laublet [15] [16]
21Claire Laudy [61] [62]
22Pierre P. Lévy [56]
23Marc Linster [18]
24Charles Madeira [58]
25Frédéric Mesnard [7] [9] [10]
26Christophe Meyer [31] [32]
27C. Ulises Moulines [45]
28Isabelle Moulinier [22]
29Jacques Périaux [28]
30Carole Philippe [56]
31Slawomir Pietrasz [56]
32Geber Ramalho [11] [21]
33Gailius Raskinis [37]
34Pierre-Yves Rolland [37] [38] [42]
35Mourad Sefrioui [28]
36Irina Tchoumatchenko [20]
37Gheorghe Tecuci [3]
38Jérôme Thomas [15] [16]
39Adrien Ugon [56]
40William Vacher [53]
41Julien Velcin [43] [44] [46] [47] [50] [52] [53] [55]
42Catherine Vicat [14]
43Charles-David Wajnberg [45]
44F. Zerr [8]
45Jean-Daniel Zucker [19] [26] [31] [35] [36]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)