Christel Vrain: Research Papers
The PostScript and PDF files correspond
to research reports or preprint versions.
2023
- Graphe de connaissances pour la classification
d'images. F. A. Mbiaya, C. Vrain, F. Ros, T.-B.-H. Dao &
Y. Lucas.
Extraction et Gestion des Connaissances (EGC) . Lyon, France. 01. 2023.
2022
- Knowledge Integration in Deep Clustering. N.-V.-D. Nghiem, C. Vrain & T.-B.-H. Dao.
ECML PKDD. European Conference on Machine
Learning and Principles and Practice of Knowledge Discovery in
Databases Grenoble, France. 09. 2022.
- Anchored Constrained Clustering Ensemble.
M. Guilbert, C. Vrain, T.-B.-H. Dao & M. de Souto.
IJCNN. Padua, Italy. 07. 2022.
- Random Dilated Shapelet
Transform: A New Approach for~Time Series Shapelets.
A. Guillaume, C. Vrain & W. Elloumi.
ICPRAI 2022. Pattern Recognition and Artificial Intelligence. Paris, France,
Lecture Notes in Computer Science, Vol. 13363. Pp. 653-664, Springer
International Publishing. 06. 2022.
- Intégration incrémentale de contraintes pour le clustering avec la programmation par contraintes.
A. Beauchamp, T.-B.-H. Dao, S. Loudni & C. Vrain.
JFPC 2022. Journées Francophones de Programmation par Contraintes (Evènement affilié à PFIA 2022). Saint-Étienne, France. 06. 2022.
2020
- Designing algorithms for Machine Learning and Data Mining. A. Cornuejols, C. Vrain.
A guided tour of Artificial Intelligence Research. P. Marquis,
O. Papini, H. Prade (Eds). Vol. 2. Artificial Intelligence
Algorithms. (78p). Springer. 2020.
- Constrained Clustering via Post-Processing.
N. V. D. Nghiem, C.Vrain, T.-B.-H. Dao, I. Davidson.
23rd International Conference on Discovery Science. 19 - 21 October 2020
- Post-traitement pour la classification probabiliste non supervisée sous contraintes. N.-V.-D. Nghiem, C. Vrain, T.-B.-H. Dao, I. Davidson. EGC 2020. Revue des Nouvelles Technologies de l'Information, vol. RNTI-E-36, Rédacteurs invités: A. Cornuéjols, E. Cuvelier, pp.169-180.
2019
- From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning. (Kay R. Amel group) Z. Bouraoui, A. Cornuéjols, T. Denoeux, S. Destercke, D. Dubois, R. Guillaume, J. Marques-Silva, J. Mengin, H. Prade, S. Schockaert, M. Serrurier, C. Vrain.
CoRR abs/1912.06612 (2019)
2018
- Constrained distance based clustering for time-series: a comparative and experimental study.
T. Lampert, T.-B.-H. Dao, B. Lafabregue, N. Serrette, G. Forestier, B. Crémilleux, C. Vrain & P. Gancarski.
Data Mining and Knowledge Discovery, Springer Verlag. 2018.
- Descriptive Clustering: ILP and CP Formulations with Applications.
T.-B.-H. Dao, C.-T. Kuo, S. S. Ravi, C. Vrain & I. Davidson.
in IJCAI-ECAI 2018, the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence. Stockholm, Sweden. 07. 2018.
- Inductive Logic Programming - 27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers.
Editors: N. Lachiche and C. Vrain.
Lecture Notes in Artificial Intelligence, Vol. 10759, Springer. 2018.
- Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, Orléans, France, September 4-6, 2017.
Editors: N. Lachiche and C. Vrain.
CEUR Workshop Proceedings, Vol. 2085. 2018.
2017
- Interactions in complex systems.
Editors: S. Cordier, N. Debarsy, C. Ertur F. Nemo, D. Nourrit, G. Poisson, C.Vrain.
Cambridge Scholar Publishing, 2017
- A Framework for Minimal Clustering Modification via Constraint Programming.
C.-T. Kuo, S. S. Ravi, T.-B.-H. Dao, C Vrain, I. Davidson.
Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). San Francisco, United States. 02/2017
- MapFIM : Memory Aware Parallelized Frequent Itemset Mining in Very Large Datasets.
K.-C. Duong, M. Bamha, A. Giacometti, D. Li, A. Soulet & C. Vrain.
International Conference on Database and Expert Systems Applications. Lyon, France. 08./2017
2016
- A Framework for Actionable Clustering using Constraint Programming.
T.-B.-H. Dao, C Vrain, K.-C. Duong, I. Davidson.
22nd European Conference on Artificial Intelligence (ECAI). The Hague, Netherlands. 08/2016
- Repetitive Branch-and-Bound using Constraint Programming for Constrained Minimum Sum-of-Squares Clustering
T. Guns, T.-B.-H.Dao, C. Vrain, K.-C. Duong.
22nd European Conference on Artificial Intelligence (ECAI). The Hague, Netherlands. 08/2016.
- Branch-and-bound répétitif et programmation par contraintes pour le clustering sous contraintes T.-B.-H. Dao, K.-C. Duong, T. Guns, C Vrain.
Douzièmes Journées Francophones de Programmation par Contraintes (JFPC) Montpellier, 06/2016
2015
- Constrained Clustering by Constraint Programming.
T.-B.-H. Dao, K.-C. Duong, C Vrain.
Artificial Intelligence Journal, Elsevier, 06-2015
- Constrained Minimum Sum of Squares Clustering by Constraint Programming;
T.-B.-H.Dao, K.-C. Duong, C. Vrain.
21st International Conference on Principles and Practice of Constraint Programming (CP 2015).
- Learning Characteristic Rules in Geographic Information Systems.
A. Salleb-Aouissi, C. Vrain, D. Cassard.
Rule Technologies: Foundations, Tools, and Applications, 9th International Symposium, (RuleML 2015), LNCS 9202, Springer pp. 431-444.
- Clustering avec la minimisation de la somme des carrés par la programmation par contraintes. T.-B.-H. Dao, K.-C. Duong, C Vrain.
Onzièmes Journées Francophones de Programmation par Contraintes (JFPC) Bordeaux, Juin 2015
- Clustering conceptuel et relationnel en programmation par contraintes.
T.-B.-H. Dao, W. Lesaint, C Vrain.
Onzièmes Journées Francophones de Programmation par Contraintes (JFPC) Bordeaux, Juin 2015
2014
- Un nouveau modèle pour la classification non supervisée sous contraintes.
T.-B.-H. Dao, K.-C. Duong, C Vrain. 2014.
Revue d'Intelligence Artificielle, Vol. 28(5). pp. 523-545, Lavoisier (Hermes Science Publications).
- Classification non supervisée mono et bi-objectif par la programmation par contraintes. T.-B.-H. Dao, K.-C. Duong, C Vrain.
Dixièmes Journées Francophones de Programmation par Contraintes (JFPC) Angers, Juin 2014
- Apprentissage non supervisé de dépendances syntaxiques à partir de texte étiqueté, plusieurs variantes de PCFG légères.
M. Arcadias, G. Cleuziou, E. Lassalle, C. Vrain, 2014.
14ème conférence Extraction et Gestion des Connaissances. Rennes, France
2013
- Learning a Markov Logic Network for supervised gene regulatory network inference.
C. Brouard, C. Vrain, J. Dubois, D. Castel, M.-A. Debily, F. d'Alché-Buc.
BMC Bioinformatics 14: 273
- QuantMiner for Mining Quantitative Association Rules.
A. Salleb-Aouissi, C. Vrain, C. Nortet, X. Kong, V. Rathod, D. Cassard
JMLR Journal of Machine Learning Research, Open Source Software
- A declarative framework for Constrained Clustering
T.-B.-H. Dao, K.-C. Duong & C. Vrain.
European Conference on Machine Learning and Principles and Pratice of Knowledge Discovery in Databases ECML-PKDD 2013.
- A Filtering Algorithm for Constrained Clustering with Within-Cluster Sum of Dissimilarities Criterion.
T.-B.-H. Dao, K.-C. Duong & C. Vrain. In IEEE International Conference on Tools with Artificial Intelligence (ICTAI) - 2013
- Algorithmiques de l'apprentissage artificiel et de la fouille de données,
A. Cornuejols, C. Vrain and J.-D. Zucker.
Panorama actuel de l'Intelligence Artificielle. Ses bases méthodologiques et développements, 2013
- Co-editor (with F. Sedes and A. Péninou) of the proceedings of EGC 2013, 13e Conférence Francophone sur l'Extraction et la Gestion des Connaissances
29 janvier - 01 février 2013, Toulouse, France, RNTI-E-24, Hermann-éE;ditions.
- Une approche en programmation par contraintes pour la classification non supervisée
T.-B.-H. Dao, K.-C. Duong & C. Vrain, 2013.
Extraction et gestion des connaissances (EGC'2013). pp. 55-66, Hermann-Editions.
- Un modèle général pour la classification non supervisée sous contraintes d'utilisateur
T.-B.-H. Dao, K.-C. Duong & C. Vrain, 2013.
JFPC 2013.
- A Constraint Programming Approach for Constrained Clustering
T.-B.-H. Dao, K.-C. Duong & C. Vrain, 2013.
LIFO Research Report no RR-2013-03
2012
- A Link-Based Method for Propositionnalization.
Q-T. Dinh, M. Exbrayat & C. Vrain, 2012.
Late Breaking Papers of the 22nd International Conference on Inductive Logic Programming
Dubrovnik, Croatia. pp. 10-25.
2011
- Generative Structure Learning for Markov Logic Networks Based on Graph of Predicates.
Q-T. Dinh, M. Exbrayat & C. Vrain, 2011.
IJCAI 2011, Barcelona, Espagne, pp. 1249-1254.
- Apprentissage génératif de la structure de réseaux logiques de Markov à partir d'un graphe des prédicats.
Q-T. Dinh, M. Exbrayat & C. Vrain, 2011.
EGC 2011, pp. 413-424.
2010
- On Learning Constraint Problems.
M. Lopez, L. Martin, C. Vrain & A. Lallouet, 2010.
ICTAI 2010 Arras, France. IEEE Computer Society, Volume 1. pp. 45-52
- Learning discriminant rules as a minimal saturation search.
M. Lopez, L. Martin & C. Vrain, 2010.
ILP, 20th International Conference on Inductive Logic Programming Florence, Italie, Springer, pp. 146-157
- Discriminative Markov Logic Network Structure Learning based on Propositionalization and chi 2-test.
Q.-T. Dinh, M. Exbrayat & C. Vrain, 2010.
International Conference on Advanced Data Mining and Applications. Chongqing, Chine, LNCS 6440, Springer, pp. 24-35.
- Heuristic Method for Discriminative Structure Learning of Markov Logic Networks.
Q.-T Dinh., M. Exbrayat, C. Vrain, 2010.
ICMLA 2010, Ninth International Conference on Machine Learning and Applications, IEEE Computer Society Conference Publishing Services (CPS) pp. 163-168.
- Generative Structure Learning for Markov Logic Networks.
Q.-T Dinh., M. Exbrayat, C. Vrain, 2010.
STAIRS 2010, fifth European Starting AI Researcher Symposium, Lisbon, Portugal, Vol. 222, IOS Press, pp. 63-75.
- Abstracting Markov Networks.
L. Saitta & C. Vrain, 2010
WARA-2010, AAAI-10 Workshop on Abstraction, Reformulation, and Approximation, AAAI Technical Report. Atlanta, États-Unis.
2008
- Collections of Compounds - How to Deal with them ?
J. Dubois, S. Bourg, C. Vrain et L. Morin-Allory, 2008
Current Computer-Aided Drug Design, Vol.4, No.3, pp.156-168
- A Comparison between Two Statistical Relational Models
Lorenza Saitta et Christel Vrain, 2008
ILP, Filip Zelezny et Nada Lavrac ed., Vol.5194, LNCS, pp.244-260, Springer
2007
- On the Discovery of Exception Rules: A Survey.
B. Duval, A. Salleb, C. Vrain 2007
Quality Measures in Data Mining , Springer in the Series Studies in Computational Intelligence, pp.77-99.
- QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules
A. Salleb, C. Vrain et C. Nortet, 2007
IJCAI 2007 Manuela Veloso ed., pp.1035-1040, Hyderabad, India, AAAI, janvier, 2007
- A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases.
A. Salleb et C. Vrain, 2007. Fundamenta Informaticae, Vol.78, No.4, pp.575-594
"Intelligent Information Systems", Special Issue Z.W. Ras, A. Dardzinska , (editors), IOS Press
2006
- Structuring natural language data by learning rewriting rules.
G. Cleuziou, L. Martin et C. Vrain, 2006.
16th International Conference on Inductive Logic Programming (ILP'06 - Short papers) August 24-27, 2006
- A proximity measure and a clustering method for concept extraction in an ontology building perspective.
G. Cleuziou, S. Billot, S. Lew, L. Martin et C. Vrain, 2006
ISMIS 06 The 16th International Symposium on Methodologies for Intelligent Systems Bari, Lecture Notes in Artificial Intelligence, pp.697-706, Springer-Verlag, September 27-29, 2006
- Une mesure de proximité et une méthode de regroupement pour l'aide à l'acquisition d'ontologies spécialisées
G. Cleuziou, S. Billot, S. Lew, L. Martin et C. Vrain, 2006.
Journées Francophones d'Extraction et de Gestion des Connaissances EGC'2006
Vol.1, pp.163-174, Revue des Nouvelles Technologies de l'Information, Cépaduès-Edition, janvier, 2006
2005
- Estimation of Datasets Density Relying on Decision Diagrams.
A. Salleb et C. Vrain, 2005.
15th International Symposium on Methodologies for Intelligent Systems ISMIS, M. Hacid, Z. W. Ras et S. Tsumoto eds., Springer Lecture Notes in Artificial Intelligence (LNAI), 2005.
- Extraction de Règles d'Association Quantitatives - Application à des Données Médicales.
C. Nortet, A. Salleb, T. Turmeaux et C. Vrain. 5èmes journées d'Extraction et de Gestion de Connaissances EGC'2005, N. Vincent et S. Pinson eds., Cépaduès éditions, 2005.
- Le rôle de l'utilisateur dans un processus d'extraction de règles d'association.
C. Nortet, A. Salleb, T. Turmeaux et C. Vrain, 2005. Atelier DKQ 2005 (associé aux 5èmes journé,es d'Extraction et de Gestion de Connaissances EGC'2005), 2005.
2004
- PoBOC: an Overlapping Clustering Algorithm. Application to Rule-Based Classification and Textual Data.
G. Cleuziou, L. Martin et C. Vrain, 2004.
Proceedings of the 16th European Conference on Artificial Intelligence, ECAI 2004, R. López de Mántaras, L. Saitta et IOS Press eds., pp.440-444, Valencia, Spain, August 22-27, 2004.
- Méthodes et mesures d'intérêt pour l'extraction de règles d'exception.
B. Duval, A. Salleb et C. Vrain, 2004.
Revue des Nouvelles Technologies de l'Information - Mesures de Qualité pour la Fouille de Données RNTI-E-1, Cépaduès éditions, H. Briand, M. Sebag, R. Gras et F. Guillet eds., pp.119-140, 2004.
- DDOC: Overlapping Clustering of Words for Document Classification.
G. Cleuziou, L. Martin, V. Clavier et C. Vrain, 2004.
Proceedings of the 11th International Conference on String Processing and Information Retrieval, Vol.3246, LNCS, pp.127-128, Padova, Italy, Springer, October, 2004.
- Mining Quantitative Association Rules in a Atherosclerosis Dataset, 2004.
A. Salleb, T. Turmeaux, C. Vrain et C. Nortet.
Proceedings of the PKDD Discovery Challenge 2004 (co-located with the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases), pp. 98-103, Pisa, Italy, september, 2004.
- BoolLoader : un chargeur efficace dédié aux bases de transactions denses.
Z. Maazouzi, A. Salleb et C. Vrain, 2004. Journées Francophones d'Extraction et de Gestion des Connaissances EGC'2004, pp.71-81, Revue des Nouvelles Technologies de l'Information, Cépaduès-Edition, janvier, 2004.
- PoBOC : un algorithme de ``soft-clustering''. Applications à l'apprentissage de règles et au traitement de données textuelles.
Cleuziou, L. Martin et C. Vrain. Journ´es Francophones d'Extraction et de Gestion des Connaissances EGC'2004. Vol.1, pp.217-228, Revue des Nouvelles Technologies de l'Information, Cépaduès-Edition, 2004.
- Can we load efficiently dense datasets?
A. Salleb, C. Vrain , 2004. RR-2004-04, Laboratoire d'Informatique Fondamentale d'Orléans.
2003
- Disjunctive Learning with a Soft-Clustering Method.
G. Cleuziou, L. Martin et C. Vrain, 2003.
13th International Conference on Inductive Logic Programming, Szeged, Hungary, LNCS, Springer, September 2003.
- Learning Characteristic Rules Relying on Quantified Paths.
T. Turmeaux, A. Salleb, C. Vrain and D. Cassard, 2003.
7th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD) , Springer-Verlag, Lecture Notes in Computer Science, September, 2003.
- Apprentissage de Règles Caractéristiques,
T. Turmeaux, D. Cassard, A. Salleb et C. Vrain. Journées Francophones d'Extraction et de Gestion des Connaissances EGC'2003, Hermès science publications, revue RSTI - RIA , Vol.17, pp.437-448
- Learning Characteristic Rules Relying on Quantified Paths.
T. Turmeaux, A. Salleb, C.Vrain, D. Cassard, 2003. RR-2003-03, Laboratoire d'Informatique Fondamentale d'Orléans.
2002
- Mining Maximal Frequent Itemsets by a Boolean Approach.
A.Salleb, Z. Maazouzi, C. Vrain, 2002.
ECAI, 15th European Conference on Artificial Intelligence , F. van Harmelen and IOS Press Amsterdam ed., 2002.
- Search Space Splitting for Mining Maximal Frequent Itemsets
A. Salleb, Z. Maazouzi, C. Vrain, 2002.
International Conference on Information and Knowledge Engineering IKE'02 , Las Vegas, USA, CSREA Press ed., June 2002.
- Learning verbal relations in text maps.
I. Debourges, S. Guilloré-Billot, C. Vrain, 2002.
JADT 2002 - 6èmes Journées Internationales d'Analyse Statistique de Données Textuelles , A. Morin and P. Sébillot ed., Vol.1, pp.245-256, St-Malo, March, 2002.
2001
- A Genetic Algorithm for Propositionalization.
A. Braud and C. Vrain, 2001.
Proceedings of the 11th International Conference on Inductive Logic Programming, ILP , C. Rouveirol and M. Sebag ed., Vol.2157, Lecture Notes in Artificial Intelligence, pp.27-40, Springer-Verlag, sep, 2001.
- A Study of the Scalability of a Data Mining Genetic Algorithm on a Distributed Database.
A. Braud and C. Vrain, 2001.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001) , L. Spector, E. D. Goodman, A. Wu, W.B. Langdon, H.-M. Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M. H. Garzon and E. Burke ed., pp.753, San Francisco, California, USA, Morgan Kaufmann, 7-11 July, 2001.
- TEXT MAPPING: A New Approach for Exploring Large Corpora.
I. Debourges , C. Vrain and S. Guillore,
Proceedings of the Fourth International Workshop on Computational Semantics (IWCS-4) , pp.447-450, Tilburg, January, 2001.
2000
- Mining Relational Databases.
F. Moal, T. Turmeaux and C. Vrain, 2000.
Proceedings of the Principles of Data Mining and Knowledge Discovery (PKDD 2000) , D.A. Zighed, J. Komorowski and J. Zytkow ed., Vol.1910, LNAI, pp.536-541, Springer, 2000.
- An Application of Association Rule Discovery to Geographic Information Systems.
A. Salleb and C. Vrain, 2000.
Principles of Data Mining and Knowledge Discovery (PKDD 2000) , D.A. Zighed, J. Komorowski and J. Zytkow ed., Vol.1910, LNAI ,pp. 613-618, Springer, 2000.
1999
- Declarative Expressions of biases in Genetic Programming.
L. Martin, F. Moal, C. Vrain, 1999
GECCO 1999, Orlando, Floride, Morgan Kaufmann, pp. 401-408, 1999.
- A Parallel Genetic Algorithm based on the BSP model.
A. Braud, C. Vrain C., 1999.
Workshop Evolutionary computation and parallel processing , E. Cantu-Paz and B. Punch, GECCO 1999.
- Learning in Constraint Databases
T. Turmeaux, C. Vrain, 1999.
DS99 , S. Arikawa, K. Furukawa (Eds.), LNAI 1721, Springer, Berlin, pp.196-207, 1999.
- Parallélisation d'Algorithmes Génétiques avec le Modèle BSP.
Braud A., Vrain C.,
CAP 99, Juin 99, France
1998
- Acquiring First Order Knowledge about Air Traffic Control.
Y. Kodratoff, C. Vrain, 1998.
Methods and Applications of Machine Learning, Data Mining and Knowledge Discovery , R.S. Michalski, I. Bratko, and M. Kubat (eds.), John Wiley and Sons, Ltd., 1998, chap. 15, pp. 353-386.
- A Relational Data Mining Tool Based on Genetic Programming.
L. Martin, F. Moal, C. Vrain, 1998.
PKDD 98 , M. Zytkow, M. Quafafou (Eds.), LNAI 1510, Springer Verlag, pp. 130-138, 1998.
- Apprentissage et mise à jour de bases de données.
C. Vrain, D. Laurent,1998.
TSI, Techniques et Sciences Informatiques, , vol. 17, n 7, pp. 869-894, HERMES, 1998.
1997
- Systematic Predicate Invention in Inductive Logic Programming.
L. Martin, C. Vrain, 1997.
ILP 97, N. Lavrac, S. Dzeroski, (Eds.), LNAI 1297, Springer Verlag, pp. 189-204, 1997.
- Efficient Induction of Numerical Constraints.
L. Martin, C. Vrain, 1997.
ISMIS 97, Z.W. Ras, A. Skowron (Eds.), LNAI 1325, Springer Verlag, pp. 167-176, 1997.
- Learning linear constraints in Inductive Logic Programming.
L. Martin, C. Vrain, 1997.
ECML 97, M. van Someren, G. Widmer (Eds.), LNAI 1224, Springer Verlag, pp. 162-169.
1996
- A three-valued framework for the induction of general programs
L. Martin, C. Vrain.
Advances in Inductive Logic Programming , L. de Raedt (Ed.), IOS Press, pp. 219-235.
- Learning Query Rules for Optimizing Databases with Update Rules.
D. Laurent, C. Vrain, 1996.
LID 96 (Logic in Databases), LNCS 1154, pp. 153-172
- Induction of constraint logic programs
L. Martin, C. Vrain, 1996.
ALT'96, LNAI 1160, Springer Verlag, pp. 169-177
- Hierarchical Conceptual Clustering in a first order representation. C. Vrain, 1996.
ISMIS'96, LNAI 1079, Springer Verlag, pp. 643-652.
- Updates and Induction in Deductive Databases. C. Vrain, D. Laurent, 1996.
Workshop Abductive and Inductive reasoning, ECAI 96, pp. 62-67.
- Apprentissage de Connaissances et Induction de programmes logiques.
Vrain Ch.,
Rapport d'habilitation à diriger des recherches, Université d'Orléans, 1996.
1995
- MULT_ICN: an empirical multiple predicate learner
L. Martin, C. Vrain, 1995.
ILP 95, Leuven, 4-6 September 1995, pp. 129-144.
- A three-valued framework for the induction of general programs.
L. Martin, C. Vrain, 1995.
ILP 95, Leuven, 4-6 September 1995,pp. 109-128.
- Apprentissage de Règles et Bases de Données Déductives.
Vrain Ch., Laurent D.,
BDA 95, Nancy, France, 1995.
1994
- Inductive learning of normal clauses.
Vrain C., L. Martin, 1994.
ECML 94, LNAI 784,Springer Verlag, pp. 435-438.
- Induction de clauses normales : application au système FOIL.
JFA 94, Strasbourg, pp. J-1 - J-14, 1994.
1993
- Acquiring First Order Knowledge about Air Traffic Control,
Y. Kodratoff, C. Vrain, 1993.
Knowledge Acquisition Journal , B.R. Gaines & J.H. Boose, (Eds.), Academic Press Limited.
1992
- Building a Tool for Software Code Analysis, A Machine Learning Approach.
G. Fouqué, C. Vrain, 1992. 4th Conference on Advanced Information Systems Engineering, CAISE 92 Manchester, UK, 12-15 May 1992.
1991
- Acquiring first-order knowledge about air traffic control.
C. Vrain, Y. Kodratoff, 1991. Proceedings of the Knowledge Acquisition Workshop, KAW 91 Banff, 6-11 October 1991.
- Acquisition of first order knowledge and its application to air traffic control.
C. Vrain, Y. Kodratoff, 1991. Proceedings of the 5th European Knowledge Acquisition for Knowledge Based Systems Workshop, EKAW 91. Crieff Hydro, Scotland, May 20th - May 24th , pp. 415-431, 1991.
1990
- OGUST: a system which learns using domain properties expressed as theorems.
C. Vrain, 1990.
Machine Learning 3, an Artificial Intelligence Approach Y. Kodratoff et R.S. Michalski (eds.) Morgan Kaufman publisher, pp. 360-382, 1990.
also published in French in Apprentissage Symbolique
Cépaduès-Edition, 1993, recueil d'articles traduits en français, extraits de Machine Learning, an Artificial Intelligence Approach.
Before 1990
- Analogous dissimilarities.
C. Vrain, Y. Kodratoff, 1989.
Perspectives in Artificial Intelligence, vol. 1: Expert Systems Applications and Technical Foundations , J.A. Campbell, J. Cuena (Eds.), Ellis Horwood Series in Artificial Intelligence, pp. 40-50, 1989.
- The use of Analogy in incremental SBL,
C. Vrain, Y. Kodratoff, 1989.
Knowledge Representation and Organization in Machine Learning, 347 , K. Morik (ed.), Lecture Notes in Artificial Intelligence, Springer Verlag, pp. 231-246, 1989.
- AGAPE: An Algorithm that Learns from Similarities. C. Vrain, M. Manago, J.G. Ganascia, Y. Kodratoff, 1989.
Machine and Human Learning, Advances in European Research , the Michael Horwood Series in Artificial Intelligence, Y. Kodratoff et A. Hutchinson (eds.), pp. 77-90, 1989.
- An Analogical Method to do Incremental Learning of Concepts.
C. Vrain, C.R. Lu, 1988. Proceedings of the third European Working Session on Learning, EWSL 88 Turing Institute, Glasgow, 3-5 Octobre 1988, eds. D. Sleeman, PITMAN, pp. 227-237.
- Machine Learning applied to Air Traffic Control.
J.J. Cannat, C. Vrain, 1988. Proceedings Human Machine Interaction, Artificial Intelligence,Aeronautics and Space Toulouse, Septembre 1988, pp. 265-274, CEPAD Toulouse.
- Analogous dissimilarities.
C. Vrain, Y. Kodratoff, 1987. International Workshop on Knowledge Representation and Organization in Machine Learning Schloss Eringerfeld, Geseke, West Germany, 4-7 Octobre 1987.
- The use of domain properties expressed as theorems in Machine Learning.
C. Vrain, 1986. Proceedings of the International Meeting on Advances in Learning, IMAL 86 Les Arcs, July 28th-August 1st pp 78-92, 1986.
- AGAPE, an algorithm that learns from similarities.
C. Vrain, M. Manago, J.G. Ganascia, Y. Kodratoff, 1986. Proceedings of the European Working Session on Learning, EWSL 86 Orsay February 3-4th 1986.
- Counterexamples and Explanations.
C. Vrain, 1986. 1st International Conference on Applications of AI to Engineering Problems Southampton, D. Sriram, R. Adey (Eds.), Springer-Verlag, pp. 77-84, 1986.
- Hierarchical Concept Clustering.
J.F. Puget, N. Benamou, C. Vrain, Y. Kodratoff, 1986. 1st International Conference on Applications of AI to Engineering Problems Southampton, D. Sriram, R. Adey (Eds.), Springer-Verlag, pp. 85-97, 1986.
- Apprentissage incrémental par analogie.
Vrain C., Lu C.R., 1988. 3èmes Journées Françaises de l'Apprentissage, JFA Cassis, 5-6 Mai 1988, pp. 219-239.
- Apprentissage "déductif" et explications à partir de contre-exemples.
Kodratoff Y., Ganascia J.G., Vrain C., Comptes rendus de la journée française sur l'Apprentissage, JFA 86 Orsay , 5 Février 86.
- Contre-exemples: explications déduites de l'étude des prédicats.
Vrain C., 5ème congrès Reconnaissance des Formes et Intelligence Artificielle, RFIA Grenoble 27-29 Novembre 1985, tome 1, pp 145-159.