Yves Kodratoff

Marta Franová, Yves Kodratoff: Two Examples of Computational Creativity: ILP Multiple Predicate Synthesis and the 'Assets' in Theorem Proving. Advances in Machine Learning II 2010: 155-173

Mathieu Roche, Yves Kodratoff: Text and Web Mining Approaches in Order to Build Specialized Ontologies. J. Digit. Inf. 10(4) (2009)

Marta Franová, Yves Kodratoff: La "créativité calculatoire" et les heuristiques créatives en synthèse de prédicats multiples. EGC 2009: 151-162

Yves Kodratoff, Mary Felkin: Defining a problem-solving and human-like strategy for a robot. EGC 2009: 465-466

Marta Franová, Yves Kodratoff: On Computational Creativity, 'Inventing' Theorem Proofs. ISMIS 2009: 573-581

Charles Tijus, Elisabetta Zibetti, Vincent Besson, Nicolas Bredeche, Yves Kodratoff, Mary Felkin, Cédric Hartland: Human Heuristics for a Team of Mobile Robots. RIVF 2007: 122-129

Mathieu Roche, Yves Kodratoff: Choix du taux d'élagage pour l'extraction de la terminologie. Une approche fondée sur les courbes ROC. EGC 2006: 205-216

Ahmed Amrani, Yves Kodratoff: Combinaison de l'approche inductive (progressive) et linguistique pour l'étiquetage morphosyntaxique des corpus de spécialité. EGC 2006: 247-258

Mathieu Roche, Yves Kodratoff: Pruning Terminology Extracted from a Specialized Corpus for CV Ontology Acquisition. OTM Workshops (2) 2006: 1107-1116

Ahmed Amrani, Mathieu Roche, Yves Kodratoff, Oriane Matte-Tailliez: Inductive Improvement of Part-of-Speech Tagging and Its Effect on a Terminology of Molecular Biology. Canadian Conference on AI 2005: 366-376

Ahmed Amrani, Jérôme Azé, Yves Kodratoff: Logiciel d'aide à l'étiquetage morpho-syntaxique de textes de spécialité. EGC 2005: 673-678

Thomas Heitz, Mathieu Roche, Yves Kodratoff: Extraction de termes centrée autour de l'expert. EGC 2005: 685-690

Jérôme Azé, Mathieu Roche, Yves Kodratoff, Michèle Sebag: Preference Learning in Terminology Extraction: A ROC-based approach. CoRR abs/cs/0512050 (2005)

Yves Kodratoff: Induction extensionnelle : définition et application à l'acquisition de concepts à partir de textes. EGC 2004: 247-252

Ahmed Amrani, Oriane Matte-Tailliez, Yves Kodratoff: ETIQ, un étiqueteur inductif convivial pour les corpus de spécialité. EGC 2004: 477

Mathieu Roche, Thomas Heitz, Oriane Matte-Tailliez, Yves Kodratoff: EXIT: Extraction itérative de la terminologie. EGC 2004: 478

Mathieu Roche, Jérôme Azé, Oriane Matte-Tailliez, Yves Kodratoff: Mining texts by association rules discovery in a technical corpus. Intelligent Information Systems 2004: 89-98

Jérôme Azé, Mathieu Roche, Yves Kodratoff, Michèle Sebag: Learning to Order Terms: Supervised Interestingness Measures in Terminology Extraction. International Conference on Computational Intelligence 2004: 478-481

Mathieu Roche, Oriane Matte-Tailliez, Yves Kodratoff: Etude de mesures de qualité pour classer les termes extraits de corpus spécialisés. INFORSID 2004: 371-386

Ahmed Amrani, Yves Kodratoff, Oriane Matte-Tailliez: A Semi-automatic System for Tagging Specialized Corpora. PAKDD 2004: 670-681

Mathieu Roche, Jérôme Azé, Yves Kodratoff, Michèle Sebag: Learning Interestingness Measures in Terminology Extraction. A ROC-based approach. ROCAI 2004: 81-88

Ahmed Amrani, Jérôme Azé, Thomas Heitz, Yves Kodratoff, Mathieu Roche: From the Texts to the Contexts They Contain: A Chain of Linguistic Treatments. TREC 2004

Mohand-Said Hacid, Yves Kodratoff, Danielle Boulanger (Eds.): Extraction et gestion des connaissances (EGC'2003), Actes des troisièmes journées Extraction et Gestion des Connaissances, Lyon, France, 22-24 janvier 2003. Revue des Sciences et Technologies de l'Information - série RIA ECA 17, Hermes Science Publications 2003, isbn 2-7462-0631-5

Jérôme Azé, Yves Kodratoff: Evaluation de la résistance au bruit de quelques mesures d'extraction de règles d'association. EGC 2002: 143-154

Mohand-Said Hacid, Zbigniew W. Ras, Djamel A. Zighed, Yves Kodratoff (Eds.): Foundations of Intelligent Systems, 13th International Symposium, ISMIS 2002, Lyon, France, June 27-29, 2002, Proceedings. Lecture Notes in Computer Science 2366, Springer 2002, isbn 3-540-43785-1

Yves Kodratoff: Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts. Machine Learning and Its Applications 2001: 1-21

Yves Kodratoff: Finding Associations between Concepts in an Unstructured Corpus of Texts (invited Address). DEXA Workshop 2001: 265-269

Yves Kodratoff: Applications de l'apprentissage automatique et de la fouille de données. EGC 2001: 57-68

Yves Kodratoff: Knowledge Discovery in Texts: A Definition, and Applications. ISMIS 1999: 16-29

Ibrahim F. Imam, Yves Kodratoff, Ayman El-Dessouki, Moonis Ali (Eds.): Multiple Approaches to Intelligent Systems, 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE-99, Cairo, Egypt, May 31 - June 3, 1999, Proceedings. Lecture Notes in Computer Science 1611, Springer 1999, isbn 3-540-66076-3

Einoshin Suzuki, Yves Kodratoff: Discovery of Surprising Exception Rules Based on Intensity of Implication. PKDD 1998: 10-18

Ibrahim F. Imam, Yves Kodratoff: Intelligent Adaptive Agents: A Highlight of the Field and the AAAI-96 Workshop. AI Magazine 18(3): 75-80 (1997)

Yves Kodratoff: Technical and Scientific Issues of KDD (or: Is KDD a Science?). ALT 1995: 261-265

Sébastien Augier, Gilles Venturini, Yves Kodratoff: Learning First Order Logic Rules with a Genetic Algorithm. KDD 1995: 21-26

Yves Kodratoff, Vassilis Moustakis, Nicolas Graner: Can machine learning solve my problem? Applied Artificial Intelligence 8(1): 1-31 (1994)

Michel Baré, Dolores Cañamero, Jean-François Delannoy, Yves Kodratoff: XPLANS: Case-based reasoning for plan recognition. Applied Artificial Intelligence 8(4): 617-643 (1994)

Yves Kodratoff, Stéphane Moscatelli: Machine Learning for Object Recognition and Scene Analysis. IJPRAI 8(1): 259-304 (1994)

Yves Kodratoff: Industrial Applications of ML: Illustrations for the KAML Dilemma and the CBR Dream. ECML 1994: 3-19

Marta Franová, Yves Kodratoff, Martine Gross: Constructive Matching Methodology: Formally Creative or Intelligent Inductive Theorem Proving? ISMIS 1993: 476-485

Nathalie Aussenac-Gilles, Guy A. Boy, Brian R. Gaines, Jean-Gabriel Ganascia, Yves Kodratoff, Marc Linster (Eds.): Knowledge Acquisition for Knowledge-Based Systems, 7th European Workshop, EKAW'93, Toulouse and Caylus, France, September 6-10, 1993, Proceedings. Lecture Notes in Computer Science 723, Springer 1993, isbn 3-540-57253-8

Francesco Bergadano, Yves Kodratoff, Katharina Morik: Machine Learning and Knowledge Acquisition, Summary of Research Contributions Presented at IJCAI'91. AI Commun. 5(1): 19-24 (1992)

Yves Kodratoff: Recent Advances in Machine Learning. IJPRAI 6(4): 469-511 (1992)

Yves Kodratoff, Gilles Bisson: The Epistemology of Conceptual Clustering: KBG, an Implementation. J. Intell. Inf. Syst. 1(1): 57-84 (1992)

Stéphane Moscatelli, Yves Kodratoff: Advanced Machine Learning Techniques for Computer Vision. Advanced Topics in Artificial Intelligence 1992: 161-197

Marta Franová, Yves Kodratoff: Predicate Synthesis from Formal Specifications. ECAI 1992: 87-91

Michel Manago, Yves Kodratoff: Induction of Decision Trees from Complex Structured Data. Knowledge Discovery in Databases 1991: 289-308

Thomas R. Addis, Yves Kodratoff, Ramon López de Mántaras, Katharina Morik, Enric Plaza: Panel: Four Stances on Knowledge Acquisition and Machine Learning. EWSL 1991: 514-533

Marta Franová, Yves Kodratoff: Solving "How to Clear a Block" with Constructive Matching Methodology. IJCAI 1991: 232-239

Marta Franová, Yves Kodratoff: Predicate Synthesis from Formal Specifications: Using Mathematical Induction for Finding the Preconditions of Theorems. Nonmonotonic and Inductive Logic 1991: 184-208

Yves Kodratoff (Ed.): Machine Learning - EWSL-91, European Working Session on Learning, Porto, Portugal, March 6-8, 1991, Proceedings. Lecture Notes in Computer Science 482, Springer 1991, isbn 3-540-53816-X

Yves Kodratoff: Combining Similarity and Causality in Creative Analogy. ECAI 1990: 398-403

Yves Kodratoff: Using Abductive Recovery of Failed Proofs for Problem Solving by Analogy. ML 1990: 295-303

Yves Kodratoff, Marta Franová, Derek Partridge: Logic Programming and Program Synthesis. ICSI 1990: 346-355

Yves Kodratoff: Seven Hard Problems in Symbolic Background Knowledge Acquisition. IMYCS 1990: 47-61

Yves Kodratoff, Marta Franová, Derek Partridge: Why and How Program Synthesis? AII 1989: 45-59

Gheorghe Tecuci, Yves Kodratoff: Multi-Strategy Learning in Nonhomongeneous Domain Theories. ML 1989: 14-16

Yves Kodratoff: The AI Approach to ML and Enlarging the "ES Certification Bottleneck". IFIP Congress 1989: 489

Yves Kodratoff, Gheorghe Tecuci: Learning Based on Conceptual Distance. IEEE Trans. Pattern Anal. Mach. Intell. 10(6): 897-909 (1988)

Yves Kodratoff, Michel Manago, Jim Blythe: Generalization and Noise. International Journal of Man-Machine Studies 27(2): 181-204 (1987)

Yves Kodratoff: Is AI a Sub-Field of Computer Science - or is AI the Science of Explanations? EWSL 1987: 91-106

Michel Manago, Yves Kodratoff: Model Driven Learning of Disjunctive Concepts. EWSL 1987: 183-198

Yves Kodratoff, Gheorghe Tecuci: DISCIPLE-1: Interactive Apprentice System in Weak Theory Fields. IJCAI 1987: 271-273

Michel Manago, Yves Kodratoff: Noise and Knowledge Acquisition. IJCAI 1987: 348-354

Nadya Tareb, Yves Kodratoff: Synthèse de spécifications à partir de programmes. SPLT 1987: 265-

Yves Kodratoff, Gheorghe Tecuci: The Central Role of Explannations in DISCIPLE. Knowledge Representation and Organization in Machine Learning 1987: 135-147

Christel Vrain, Yves Kodratoff: The Use of Analogy in Incremental SBL. Knowledge Representation and Organization in Machine Learning 1987: 231-246

Nadya Tareb, Yves Kodratoff: Synthesis of Specifications from Programs. ÖGAI 1987: 157-167

Yves Kodratoff, Gheorghe Tecuci, Thomas G. Dietterich: News and Notes. Machine Learning 1(3): 355-358 (1986)

Béatrice Duval, Yves Kodratoff: Automated Deduction in an Uncertain and Inconsistent Data Basis. ECAI 1986: 297-304

Yves Kodratoff: Machine Learning (Panel). IFIP Congress 1986: 839-840

N. Azibi, Yves Kodratoff, Ernesto Jorge Costa: Méthode de transformation de programmes de Burstall-Darlington appliquée à la programmation logique. SPLT 1986: 327-344

Yves Kodratoff: Learning Expert Knowledge and Theorem Proving. GWAI 1986: 164-179

Yves Kodratoff, Jean-Gabriel Ganascia, B. Clavieras, Toni Bollinger, Gheorghe Tecuci: Careful Generalization for Concept Learning. ECAI 1984: 229-238

B. Clavieras, Yves Kodratoff: Logique et apprentissage. SPLT 1984

Yves Kodratoff, Jean-Gabriel Ganascia, Toni Bollinger: Using Structural Matching for Generalizing Examples. GWAI 1984: 199-208

Yves Kodratoff, Jacqueline Castaing: Trivializing the Proof of Trivial Theorems. IJCAI 1983: 930-932

Jacques J. Arsac, Yves Kodratoff: Some Techniques for Recursion Removal from Recursive Programs. ACM Trans. Program. Lang. Syst. 4(2): 295-322 (1982)

Regine Loisel, Yves Kodratoff: Learning (Complex) Structural Descriptions from Examples. IJCAI 1981: 141-143

Yves Kodratoff: A class of functions synthesized from a finite number of examples and a lisp program scheme. International Journal of Parallel Programming 8(6): 489-521 (1979)

Jean-Pierre Jouannaud, Yves Kodratoff: Characterization of a Class of Functions Synthesized from Examples by a SUMMERS Like Method Using a "B.M.W." Matching Technique. IJCAI 1979: 440-447

Yves Kodratoff, Jean Fargues: A sane Algorithme for the Synthesis of LISP Functions from Example Problems: The ``Boyer and Moore Algorithm''. AISB/GI (ECAI) 1978: 169-175

Jean-Claude Bermond, Yves Kodratoff: Une Heuristique pour le Calcul de l'Indice de Transitivité d'un Tournoi. ITA 10(1): 83-92 (1976)