Bibliography

Major publications by the team in recent years

1P. Besnard, M.-O. Cordier, Y. Moinard.

Ontology-based inference for causal explanation, in: Integrated Computer-Aided Engineering, 2008, vol. 15, n^o 4, p. 351-367.

http://hal.inria.fr/inria-00476906/en/
2C. Gascuel-Odoux, P. Aurousseau, M.-O. Cordier, P. Durand, F. Garcia, V. Masson, J. Salmon-Monviola, F. Tortrat, R. Trépos.

A decision-oriented model to evaluate the effect of land use and agricultural management on herbicide contamination in stream water, in: Environmental modelling & software, 2009, vol. 24, p. 1433-1446.

http://hal.inria.fr/hal-00544122/en
3T. Guyet, R. Quiniou.

Extracting temporal patterns from interval-based sequences, in: International Joint Conference on Artificial Intelligence (IJCAI), Barcelone, Spain, July 2011.

http://hal.inria.fr/inria-00618444
4Y. Pencolé, M.-O. Cordier.

A formal framework for the decentralised diagnosis of large scale discrete event systems and its application to telecommunication networks, in: Artificial Intelligence Journal, 2005, vol. 164, n^o 1-2, p. 121-170.

http://hal.inria.fr/inria-00511104/en/

Publications of the year

Articles in International Peer-Reviewed Journals

5D. Leenhardt, O. Therond, M.-O. Cordier, C. Gascuel-Odoux, A. Reynaud, P. Durand, J.-E. Bergez, L. Clavel, V. Masson, P. Moreau.

A generic framework for scenario exercises using models applied to water-resource management, in: Environmental Modelling and Software, 2012, vol. 37, p. 125-133. [ DOI : 10.1016/j.envsoft.2012.03.010 ]

http://hal.inria.fr/hal-00767926
6P. Moreau, L. Ruiz, T. Raimbault, F. Vertès, M.-O. Cordier, C. Gascuel-Odoux, V. Masson, J. Salmon-Monviola, P. Durand.

Modeling the potential benefits of catch-crop introduction in fodder crop rotations in a Western Europe landscape, in: Science of the Total Environment, 2012, vol. 437, p. 276-284. [ DOI : 10.1016/j.scitotenv.2012.07.091 ]

http://hal.inria.fr/hal-00767910
7K. Sedki, V. Delcroix.

A model based on influence diagrams for multi-criteria decision making, in: International Journal on Artificial Intelligence Tools, August 2012, vol. 21, n^o 4, 1250018. [ DOI : 10.1142/S0218213012500182 ]

http://hal.inria.fr/hal-00757174
8R. Trépos, V. Masson, M.-O. Cordier, C. Gascuel-Odoux, J. Salmon-Monviola.

Mining simulation data by rule induction to determine critical source areas of stream water pollution by herbicides, in: Computers and Electronics in Agriculture, 2012, vol. 86, p. 75-88. [ DOI : 10.1016/j.compag.2012.01.006 ]

http://hal.inria.fr/hal-00767865

International Conferences with Proceedings

9T. Bouadi, M.-O. Cordier, R. Quiniou.

Incremental Computation of Skyline Queries with Dynamic Preferences, in: Database and Expert Systems Applications (DEXA), Vienne, Austria, S. W. Liddle, K.-D. Schewe, A. M. Tjoa, X. Zhou (editors), Springer, 2012, vol. 1, p. 219-233. [ DOI : 10.1007/978-3-642-32600-4_17 ]

http://hal.inria.fr/hal-00757838
10P. Rannou, F. Lamarche, M.-O. Cordier.

Enhancing the behavior of virtual characters with long term planning, failure anticipation and opportunism, in: Motion In Games, Rennes, France, Springer, November 2012.

http://hal.inria.fr/hal-00763694
11K. Sedki, L. Bonneau De Beaufort.

Cognitive Maps and Bayesian Networks for Knowledge Representation and Reasoning, in: 24th International Conference on Tools with Artificial Intelligence, Greece, 2012, p. 1035-1040. [ DOI : 10.1109/ICTAI.2012.175 ]

http://hal.inria.fr/hal-00757189

National Conferences with Proceeding

12T. Guyet, H. Nicolas, A. Diouck.

Segmentation multi-échelle de séries temporelles d'images satellite : Application à l'étude d'une période de sécheresse au Sénégal., in: Reconnaissance de Forme et Intelligence Artificielle (RFIA), Lyon, France, January 2012.

http://hal.inria.fr/hal-00646158
13T. Guyet, R. Quiniou.

Extraction incrémentale de séquences fréquentes dans un flux d'itemsets, in: Extraction et Gestion de Connaissances (EGC'2012), Bordeaux, France, B. Pinaud, G. Melançon, Y. Lechevallier (editors), RNTI, Hermann, February 2012.

http://hal.inria.fr/hal-00648893
14T. Guyet, R. Quiniou.

Incremental mining of frequent sequences from a window sliding over a stream of itemsets, in: Journées Intelligence Artificielle Fondamentale, France, May 2012, p. 153-162.

http://hal.inria.fr/hal-00757120
15V. Masson, F. Ployette.

Logiciel SACADEAU - Outil d'aide à la gestion de la qualité des eaux d'un bassin versant: simulation, apprentissage de règles de caractérisation et recommandation d'actions, in: RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Lyon, France, January 2012, Session "Démo", 978-2-9539515-2-3.

http://hal.inria.fr/hal-00660959
16Y. Moinard.

Utiliser la programmation par ensembles réponses pour de petits problèmes, in: RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Lyon, France, January 2012, Session "Posters", 978-2-9539515-2-3.

http://hal.inria.fr/hal-00656561
17Y. Zhao, M.-O. Cordier, C. Largouët.

Répondre aux questions "Que faire pour" par synthèse de contrôleur sur des automates temporisés - Application à la gestion de la pêche, in: RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Lyon, France, January 2012, Session "Posters", 978-2-9539515-2-3.

http://hal.inria.fr/hal-00656543

Scientific Books (or Scientific Book chapters)

18M.-O. Cordier, P. Dague, Y. Pencolé, L. Travé-Massuyès.

Diagnostic et supervision : approches à base de modèles, in: Panorama de l'intelligence artificielle : Ses bases méthodologiques, ses développements, P. Marquis, O. Papini, H. Prade (editors), Cépaduès, January 2013, vol. 2.

http://hal.inria.fr/hal-00769636
19Y. Moinard, A. Lallouet, P. Nicolas, I. Stéphan.

Programmation logique, in: Panorama de l'intelligence artificielle Ses bases méthodologiques, ses développements, P. Marquis, O. Papini, H. Prade (editors), Cépaduès, January 2013, vol. 2.

http://hal.inria.fr/hal-00758896

Other Publications

20M. L. Angheloiu.

Incremental and adaptive learning for online monitoring of embedded software, Master 2 recherche informatique, Université de Rennes 1, June 2012.

http://dumas.ccsd.cnrs.fr/dumas-00725171

References in notes

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Inferring causal explanations, in: Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'99), A. Hunter, S. Parsons (editors), Lecture Notes in Artificial Intelligence, Springer-Verlag, 1999, vol. 1638, p. 55-67.
30P. Besnard, M.-O. Cordier, Y. Moinard.

Configurations for Inference between Causal Statements, in: KSEM 2006 (First Int. Conf. on Knowledge Science, Engineering and Management), J. Lang, F. Lin, J. Wang (editors), LNAI, Springer, aug 2006, n^o 4092, p. 292–304.

http://www.irisa.fr/dream/dataFiles/moinard/causeksempub.pdf
31P. Besnard, M.-O. Cordier, Y. Moinard.

Ontology-based inference for causal explanation, in: KSEM07 (Second International Conference on Knowledge Science, Engineering and Management), Z. Zhang, J. Siekmann (editors), LNAI, Springer, nov 2007, n^o 4798, p. 153-164.

http://www.irisa.fr/dream/dataFiles/moinard/ksem07bcausesonto.pdf
32P. Besnard, M.-O. Cordier, Y. Moinard.

Deriving explanations from causal information, in: ECAI 2008 (18th European Conference on Artificial Intelligence), Patras, Greece, M. Ghallab, C. D. Spytopoulos, N. Fakotakis, N. Avouris (editors), IOS Press, jul 2008, p. 723–724.
33P. Besnard, M.-O. Cordier, Y. Moinard.

Ontology-based inference for causal explanation, in: Integrated Computer-Aided Engineering, 2008, vol. 15, n^o 4, p. 351-367.
34P. Besnard, A. Hunter.

Elements of Argumentation, The MIT Press, http://www-mitpress.mit.edu/, june 2008.
35C. Biernacki, G. Celeux, G. Govaert, F. Langrognet.

Model-Based Cluster and Discriminant Analysis with the MIXMOD Software, in: Computational Statistics and Data Analysis, 2006, vol. 51, n^o 2, p. 587-600.
36A. Bochman.

A Causal Theory of Abduction, in: 7th Int. Symposium on Logical Formalizations of Common Sense Reasoning, S. McIlraith, P. Peppas, M. Thielscher (editors), 2005, p. 33–38.
37Y. Chi, S. Nijssen, R. R. Muntz, J. N. Kok.

Frequent Subtree Mining–An Overview, in: Fundamenta Informaticae, IOS Press, 2005, vol. 66, p. 161–198.
38A. Cornuéjols, L. Miclet.

Apprentissage artificiel : concepts et algorithmes, Eyrolles, 2002.
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A perspective on inductive databases, in: SIGKDD Explor. Newsl., 2002, vol. 4, n^o 2, p. 69–77.

http://doi.acm.org/10.1145/772862.772871
40C. Dousson.

Chronicle Recognition System, 1994.
41C. Dousson.

Suivi d'évolutions et reconnaissance de chroniques, Université Paul Sabatier de Toulouse, LAAS-CNRS, Toulouse, 1994.
42C. Dousson, T. V. Duong.

Discovering Chronicles with Numerical Time Constraints from Alarm Logs for Monitoring Dynamic Systems., in: IJCAI, T. Dean (editor), Morgan Kaufmann, 1999, p. 620-626.
43C. Dousson, P. Gaborit, M. Ghallab.

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44S. Dzeroski, L. Todorovski.

Discovering dynamics: from inductive logic programming to machine discovery, in: Journal of Intelligent Information Systems, 1995, vol. 4, p. 89-108.
45J. Gao, B. Ding, W. Fan, J. Han, P. S. Yu.

Classifying Data Streams with Skewed Class Distributions and Concept Drifts, in: IEEE Internet Computing, 2008, vol. 12, n^o 6, p. 37-49.
46M. Garofalakis, J. Gehrke, R. Rastogi.

Querying and Mining Data Streams: You Only Get One Look. Tutorial notes, in: ACM Int. Conf. on Management of Data, 2002.
47E. Giunchiglia, J. Lee, V. Lifschitz, N. McCain, H. Turner.

Nonmonotonic causal theories, in: Artificial Intelligence Journal, March 2004, vol. 153, n^o 1–2, p. 49–104.
48T. Guyet, R. Quiniou.

Mining temporal patterns with quantitative intervals, in: 4th International Workshop on Mining Complex Data at ICDM 2008, December 2008.
49D. T. Hau, E. W. Coiera.

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50T. Imielinski, H. Mannila.

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51M. Kubat, J. Gama, P. E. Utgoff.

Incremental learning and concept drift, in: Intell. Data Anal., 2004, vol. 8, n^o 3.
52C. Largouët, M.-O. Cordier, Y.-M. Bozec, Y. Zhao, G. Fontenelle.

Use Of Timed Automata And Model-Checking To Explore Scenarios On Ecosystem Models, in: Environmental Modelling and Software, November 2011, n^o 30, p. 123-138, On-line publication : 26 November 2011. [ DOI : 10.1016/j.envsoft.2011.08.005 ]

http://hal.inria.fr/hal-00649275
53S. D. Lee, L. De Raedt.

Constraint Based Mining of First Order Sequences in SeqLog, LNCS, Springer-Verlag, 2004, vol. 2682, p. 154-173.
54H. Mannila, H. Toivonen, A. I. Verkamo.

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57Y. Moinard.

A formalism for causal explanations with an Answer Set Programming translation, in: 4th International Conference on Knowledge Science, Engineering & Management (KSEM 2010), United Kingdom Belfast, B. Scotney, Z. Jin (editors), LNCS, Springer-Verlag, Aug 2010.

http://hal.inria.fr/inria-00511093/en
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