The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
Michèle Sebag: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Marc Schoenauer, Michèle Sebag
    Incremental Learning of Rules and Meta-rules. [Citation Graph (1, 0)][DBLP]
    ML, 1990, pp:49-57 [Conf]
  2. Mathieu Peyral, Antoine Ducoulombier, Caroline Ravise, Marc Schoenauer, Michèle Sebag
    Mimetic Evolution. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 1997, pp:81-94 [Conf]
  3. Alain Ratle, Michèle Sebag
    Avoiding the Bloat with Stochastic Grammar-Based Genetic Programming. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 2001, pp:255-266 [Conf]
  4. Caroline Ravise, Michèle Sebag, Marc Schoenauer
    Induction-Based Control of Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 1995, pp:100-119 [Conf]
  5. Michèle Sebag, Jérôme Azé, Noël Lucas
    ROC-Based Evolutionary Learning: Application to Medical Data Mining. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 2003, pp:384-396 [Conf]
  6. Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag
    Relational Learning: Hard Problems and Phase Transitions. [Citation Graph (0, 0)][DBLP]
    AI*IA, 1999, pp:178-189 [Conf]
  7. Nicolas Baskiotis, Michèle Sebag, Olivier Teytaud
    Systèmes inductifs-déductifs: une approche statistique. [Citation Graph (0, 0)][DBLP]
    CAP, 2005, pp:145-146 [Conf]
  8. Sylvain Gelly, Nicolas Bredeche, Michèle Sebag
    HMM hiérarchiques et factorisés: mécanisme d'inférence et apprentissage à partir de peu de données. [Citation Graph (0, 0)][DBLP]
    CAP, 2005, pp:143-144 [Conf]
  9. Nicolas Pernot, Antoine Cornuéjols, Michèle Sebag
    Phase transitions in grammatical inference. [Citation Graph (0, 0)][DBLP]
    CAP, 2005, pp:49-60 [Conf]
  10. Nicolas Tarrisson, Michèle Sebag, Olivier Teytaud, Julien Lefevre, Sylvain Baillet
    Multi-objective Multi-modal Optimization for Mining Spatio-temporal Patterns. [Citation Graph (0, 0)][DBLP]
    CAP, 2005, pp:217-230 [Conf]
  11. Michèle Sebag, Marc Schoenauer
    Learning to Control Inconsistent Knowledge. [Citation Graph (0, 0)][DBLP]
    ECAI, 1992, pp:479-483 [Conf]
  12. Antoine Ducoulombier, Michèle Sebag
    Continuous Mimetic Evolution. [Citation Graph (0, 0)][DBLP]
    ECML, 1998, pp:334-345 [Conf]
  13. Michèle Sebag
    Using Constraints to Building Version Spaces. [Citation Graph (0, 0)][DBLP]
    ECML, 1994, pp:257-271 [Conf]
  14. Michèle Sebag, Marc Schoenauer, Caroline Ravise
    An Induction-based Control for Genetic Algorithms (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    ECML, 1995, pp:351-355 [Conf]
  15. Michèle Sebag, Caroline Ravise, Marc Schoenauer
    Controlling Evolution by Means of Machine Learning. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1996, pp:57-66 [Conf]
  16. Michèle Sebag, Marc Schoenauer, Caroline Ravise
    Inductive Learning of Mutation Step-Size in Evolutionary Parameter Optimization. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1997, pp:247-261 [Conf]
  17. Michèle Sebag
    From first order logic to Nd: a data driven reformulation. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:231-236 [Conf]
  18. Michèle Sebag, Marc Schoenauer
    Using Examples to Refine a Redundant Knowledge Base. [Citation Graph (0, 0)][DBLP]
    EUROVAV, 1991, pp:227-236 [Conf]
  19. Nicolas Godzik, Marc Schoenauer, Michèle Sebag
    Evolving Symbolic Controllers. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2003, pp:638-650 [Conf]
  20. Elena Marchiori, Michèle Sebag
    Bayesian Learning with Local Support Vector Machines for Cancer Classification with Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2005, pp:74-83 [Conf]
  21. Michèle Sebag, Marc Schoenauer
    A Rule-Based Similarity Measure. [Citation Graph (0, 0)][DBLP]
    EWCBR, 1993, pp:119-131 [Conf]
  22. Jérôme Azé, Noël Lucas, Michèle Sebag
    Fouille de données visuelle et analyse de facteurs de risque médical. [Citation Graph (0, 0)][DBLP]
    EGC, 2003, pp:183-188 [Conf]
  23. Sébastien Jouteau, Antoine Cornuéjols, Michèle Sebag, Philippe Tarroux, Jean-Sylvain Liénard
    Nouveaux résultats en classification à l'aide d'un codage par motifs fréquents. [Citation Graph (0, 0)][DBLP]
    EGC, 2003, pp:521-532 [Conf]
  24. Michèle Sebag, Jérôme Azé, Noël Lucas
    Impact Studies and Sensitivity Analysis in Medical Data Mining with ROC-based Genetic Learning. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:637-640 [Conf]
  25. Alexandre Termier, Marie-Christine Rousset, Michèle Sebag
    TreeFinder: a First Step towards XML Data Mining. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:450-457 [Conf]
  26. Alexandre Termier, Marie-Christine Rousset, Michèle Sebag
    DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:543-546 [Conf]
  27. Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda
    Efficient Mining of High Branching Factor Attribute Trees. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:785-788 [Conf]
  28. Michèle Sebag, Marc Schoenauer, Caroline Ravise
    Toward Civilized Evolution: Developing Inhibitions. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:291-298 [Conf]
  29. Jacques Ales Bianchetti, Céline Rouveirol, Michèle Sebag
    Constraint-based Learning of Long Relational Concepts. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:35-42 [Conf]
  30. Nicolas Baskiotis, Michèle Sebag
    C4.5 competence map: a phase transition-inspired approach. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  31. Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta
    Analyzing Relational Learning in the Phase Transition Framework. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:311-318 [Conf]
  32. Caroline Ravise, Michèle Sebag
    An Advanced Evolution Should Not Repeat its Past Errors. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:400-408 [Conf]
  33. Michèle Sebag
    A Constraint-based Induction Algorithm in FOL. [Citation Graph (0, 0)][DBLP]
    ICML, 1994, pp:275-283 [Conf]
  34. Michèle Sebag
    Delaying the Choice of Bias: A Disjunctive Version Space Approach. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:444-452 [Conf]
  35. Nicolas Pernot, Antoine Cornuéjols, Michèle Sebag
    Phase Transitions within Grammatical Inference. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:811-816 [Conf]
  36. Michèle Sebag
    Constructive Induction: A Version Space-based Approach. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:708-713 [Conf]
  37. Michèle Sebag, Céline Rouveirol
    Tractable Induction and Classification in First Order Logic Via Stochastic Matching. [Citation Graph (0, 0)][DBLP]
    IJCAI (2), 1997, pp:888-893 [Conf]
  38. Michèle Sebag, Nicolas Tarrisson, Olivier Teytaud, Julien Lefevre, Sylvain Baillet
    A Multi-Objective Multi-Modal Optimization Approach for Mining Stable Spatio-Temporal Patterns. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:859-864 [Conf]
  39. Alexandre Termier, Michèle Sebag, Marie-Christine Rousset
    Combining Statistics and Semantics for Word and Document Clustering. [Citation Graph (0, 0)][DBLP]
    Workshop on Ontology Learning, 2001, pp:- [Conf]
  40. Nicolas Baskiotis, Michèle Sebag, Marie-Claude Gaudel, Sandrine-Dominique Gouraud
    A Machine Learning Approach for Statistical Software Testing. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2274-2279 [Conf]
  41. Jérôme Azé, Mathieu Roche, Yves Kodratoff, Michèle Sebag
    Learning to Order Terms: Supervised Interestingness Measures in Terminology Extraction [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Intelligence, 2004, pp:478-481 [Conf]
  42. Jérôme Maloberti, Michèle Sebag
    Theta-Subsumption in a Constraint Satisfaction Perspective. [Citation Graph (0, 0)][DBLP]
    ILP, 2001, pp:164-178 [Conf]
  43. Michèle Sebag
    A Stochastic Simple Similarity. [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:95-105 [Conf]
  44. Michèle Sebag, Céline Rouveirol
    Polynomial-Time Learning in Logic Programming and Constraint Logic Programming. [Citation Graph (0, 0)][DBLP]
    Inductive Logic Programming Workshop, 1996, pp:105-126 [Conf]
  45. Michèle Sebag
    Distance Induction in First Order Logic. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:264-272 [Conf]
  46. Alain Ratle, Michèle Sebag
    A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars. [Citation Graph (0, 0)][DBLP]
    ILP, 2002, pp:207-222 [Conf]
  47. Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta
    Can Relational Learning Scale Up? [Citation Graph (0, 0)][DBLP]
    ISMIS, 2000, pp:31-39 [Conf]
  48. Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori, Michèle Sebag
    Ensemble Feature Ranking. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:267-278 [Conf]
  49. Christian Gagné, Marc Schoenauer, Michèle Sebag, Marco Tomassini
    Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:1008-1017 [Conf]
  50. Nicolas Godzik, Marc Schoenauer, Michèle Sebag
    Robotics and Multi-agent Systems Robustness in the Long Run: Auto-teaching vs Anticipation in Evolutionary Robotics. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:932-941 [Conf]
  51. Vojtech Krmicek, Michèle Sebag
    Functional Brain Imaging with Multi-objective Multi-modal Evolutionary Optimization. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:382-391 [Conf]
  52. Kees Jong, Elena Marchiori, Michèle Sebag
    Ensemble Learning with Evolutionary Computation: Application to Feature Ranking. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:1133-1142 [Conf]
  53. Alain Ratle, Michèle Sebag
    Genetic Programming and Domain Knowledge: Beyond the Limitations of Grammar-Guided Machine Discovery. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:211-220 [Conf]
  54. Michèle Sebag, Antoine Ducoulombier
    Extending Population-Based Incremental Learning to Continuous Search Spaces. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:418-427 [Conf]
  55. Michèle Sebag, Marc Schoenauer
    Controlling Crossover through Inductive Learning. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:209-218 [Conf]
  56. Michèle Sebag, Marc Schoenauer
    Mutation by Imitation in Boolean Evolution Strategies. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:356-365 [Conf]
  57. Michèle Sebag, Céline Rouveirol, Jean-Francois Puget
    Induction of Constraint Logic Programs. [Citation Graph (0, 0)][DBLP]
    PRICAI Workshops, 1996, pp:148-167 [Conf]
  58. Mathieu Roche, Jérôme Azé, Yves Kodratoff, Michèle Sebag
    Learning Interestingness Measures in Terminology Extraction. A ROC-based approach. [Citation Graph (0, 0)][DBLP]
    ROCAI, 2004, pp:81-88 [Conf]
  59. Sylvain Gelly, Nicolas Bredeche, Michèle Sebag
    From Factorial and Hierarchical HMM to Bayesian Network: A Representation Change Algorithm. [Citation Graph (0, 0)][DBLP]
    SARA, 2005, pp:107-120 [Conf]
  60. Alejandro Rosete-Suárez, Alberto Nogueira-Keeling, Alberto Ochoa-Rodríguez, Michèle Sebag
    Hacia un Enfoque General del Trazado de Grafos. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 1999, v:8, n:, pp:18-26 [Journal]
  61. Hatem Hamda, François Jouve, Evelyne Lutton, Marc Schoenauer, Michèle Sebag
    Compact Unstructured Representations for Evolutionary Design. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2002, v:16, n:2, pp:139-155 [Journal]
  62. Alain Ratle, Michèle Sebag
    Grammar-guided genetic programming and dimensional consistency: application to non-parametric identification in mechanics. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2001, v:1, n:1, pp:105-118 [Journal]
  63. Michèle Sebag, Marc Schoenauer, Mathieu Peyral
    Revisiting the Memory of Evolution. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 1998, v:35, n:1-4, pp:125-162 [Journal]
  64. Olivier Gascuel, Bernadette Bouchon-Meunier, Gilles Caraux, Patrick Gallinari, Alain Guénoche, Yann Guermeur, Yves Lechevallier, Christophe Marsala, Laurent Miclet, Jacques Nicolas, Richard Nock, Mohammed Ramdani, Michèle Sebag, Basavanneppa Tallur, Gilles Venturini, Patrick Vitte
    Twelve Numerical, Symbolic and Hybrid Supervised Classification Methods. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1998, v:12, n:4, pp:517-571 [Journal]
  65. Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag
    Relational Learning as Search in a Critical Region. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:431-463 [Journal]
  66. Jérôme Maloberti, Michèle Sebag
    Fast Theta-Subsumption with Constraint Satisfaction Algorithms. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:55, n:2, pp:137-174 [Journal]
  67. Michèle Sebag, Céline Rouveirol
    Any-time Relational Reasoning: Resource-bounded Induction and Deduction Through Stochastic Matching. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:38, n:1-2, pp:41-62 [Journal]
  68. Hendrik Blockeel, Michèle Sebag
    Scalability and efficiency in multi-relational data mining. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:1, pp:17-30 [Journal]
  69. Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini
    Ensemble learning for free with evolutionary algorithms? [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1782-1789 [Conf]
  70. Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini
    Ensemble Learning for Free with Evolutionary Algorithms ? [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  71. Nicolas Godzik, Marc Schoenauer, Michèle Sebag
    Evolving Symbolic Controllers [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  72. Christian Gagné, Marc Schoenauer, Michèle Sebag, Marco Tomassini
    Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  73. Vojtech Krmicek, Michèle Sebag
    Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  74. Marc Schoenauer, Michèle Sebag
    Using Domain Knowledge in Evolutionary System Identification [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  75. Alain Ratle, Michèle Sebag
    Avoiding the Bloat with Stochastic Grammar-based Genetic Programming [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]

  76. Discovering Piecewise Linear Models of Grid Workload. [Citation Graph (, )][DBLP]


  77. Multi-scale Real-Time Grid Monitoring with Job Stream Mining. [Citation Graph (, )][DBLP]


  78. Structural Sampling for Statistical Software Testing. [Citation Graph (, )][DBLP]


  79. Unsupervised Layer-Wise Model Selection in Deep Neural Networks. [Citation Graph (, )][DBLP]


  80. Adaptive operator selection with dynamic multi-armed bandits. [Citation Graph (, )][DBLP]


  81. Optimal robust expensive optimization is tractable. [Citation Graph (, )][DBLP]


  82. Analysis of adaptive operator selection techniques on the royal road and long k-path problems. [Citation Graph (, )][DBLP]


  83. Extreme: dynamic multi-armed bandits for adaptive operator selection. [Citation Graph (, )][DBLP]


  84. Toward comparison-based adaptive operator selection. [Citation Graph (, )][DBLP]


  85. A mono surrogate for multiobjective optimization. [Citation Graph (, )][DBLP]


  86. A pareto-compliant surrogate approach for multiobjective optimization. [Citation Graph (, )][DBLP]


  87. Fitness-AUC bandit adaptive strategy selection vs. the probability matching one within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed. [Citation Graph (, )][DBLP]


  88. Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files. [Citation Graph (, )][DBLP]


  89. Feature Selection as a One-Player Game. [Citation Graph (, )][DBLP]


  90. A Phase Transition-Based Perspective on Multiple Instance Kernels. [Citation Graph (, )][DBLP]


  91. Structural Statistical Software Testing with Active Learning in a Graph. [Citation Graph (, )][DBLP]


  92. Toward autonomic grids: analyzing the job flow with affinity streaming. [Citation Graph (, )][DBLP]


  93. Data Streaming with Affinity Propagation. [Citation Graph (, )][DBLP]


  94. Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm. [Citation Graph (, )][DBLP]


  95. Extreme Value Based Adaptive Operator Selection. [Citation Graph (, )][DBLP]


  96. Open-Ended Evolutionary Robotics: An Information Theoretic Approach. [Citation Graph (, )][DBLP]


  97. Comparison-Based Adaptive Strategy Selection with Bandits in Differential Evolution. [Citation Graph (, )][DBLP]


  98. Comparison-Based Optimizers Need Comparison-Based Surrogates. [Citation Graph (, )][DBLP]


  99. Memory-enhanced Evolutionary Robotics: The Echo State Network Approach. [Citation Graph (, )][DBLP]


  100. Extreme compass and Dynamic Multi-Armed Bandits for Adaptive Operator Selection. [Citation Graph (, )][DBLP]


  101. Dynamic Multi-Armed Bandits and Extreme Value-Based Rewards for Adaptive Operator Selection in Evolutionary Algorithms. [Citation Graph (, )][DBLP]


  102. Distributed and Incremental Clustering Based on Weighted Affinity Propagation. [Citation Graph (, )][DBLP]


  103. Artificial Agents and Speculative Bubbles [Citation Graph (, )][DBLP]


  104. Preference Learning in Terminology Extraction: A ROC-based approach [Citation Graph (, )][DBLP]


  105. Scaling Analysis of Affinity Propagation [Citation Graph (, )][DBLP]


  106. Open-Ended Evolutionary Robotics: an Information Theoretic Approach [Citation Graph (, )][DBLP]


Search in 0.051secs, Finished in 0.058secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002