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Philippe Leray

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Incremental discovery of new defects: application to screwing process monitoring

Mahmoud Ferhat , Mathieu Ritou , Philippe Leray , Nicolas Le Du
CIRP Annals - Manufacturing Technology, 2021, 70 (1), pp.369-372. ⟨10.1016/j.cirp.2021.04.026⟩
Journal articles hal-03254677v1
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Prevention of Suicidal Relapses in Adolescents With a Smartphone Application: Bayesian Network Analysis of a Preclinical Trial Using In Silico Patient Simulations

Stephane Mouchabac , Philippe Leray , Vladimir Adrien , Fanny Gollier-Briant , Olivier Bonnot
Journal of Medical Internet Research, 2021, 23 (9), pp.e24560. ⟨10.2196/24560⟩
Journal articles hal-03369481v1
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Integrating expert’s knowledge constraint of time dependent exposures in structure learning for Bayesian networks

Vahé Asvatourian , Philippe Leray , Stefan Michiels , Emilie Lanoy
Artificial Intelligence in Medicine, 2020, pp.101874. ⟨10.1016/j.artmed.2020.101874⟩
Journal articles hal-02864601v1
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Probabilistic relational model benchmark generation: Principle and application

Mouna Ben Ishak , Philippe Leray , Nahla Ben Amor
Intelligent Data Analysis, 2016, 20 (3), pp.615-635. ⟨10.3233/IDA-160823⟩
Journal articles hal-01150688v1
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Apprentissage des réseaux possibilistes à partir de données: un survol

Nahla Ben Amor , Maroua Haddad , Philippe Leray
Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2015, 29 (2), pp.229-252. ⟨10.3166/HSP.x.1-24⟩
Journal articles hal-01166897v1

SemCaDo: A serendipitous strategy for causal discovery and ontology evolution

Montassar Ben Messaoud , Philippe Leray , Nahla Ben Amor
Knowledge-Based Systems, 2015, 76, pp.79-95. ⟨10.1016/j.knosys.2014.12.006⟩
Journal articles hal-01113245v1

Implicit parameter estimation for conditional gaussian bayesian networks

Aida Jarraya , Philippe Leray , Afif Masmoudi
International Journal of Computational Intelligence Systems, 2014, 7 (Supplement 1), pp.6-13. ⟨10.1080/18756891.2014.853926⟩
Journal articles hal-00864152v1

Discrete exponential bayesian networks : definition, learning and application for density estimation

Aida Jarraya , Philippe Leray , Afif Masmoudi
Neurocomputing, 2014, Advanced Intelligent Computing Theories and Methodologies — Selected papers from the 2012 Eighth International Conference on Intelligent Computing (ICIC 2012), Volume 137, pp.142-149. ⟨10.1016/j.neucom.2013.05.061⟩
Journal articles hal-00864150v1

A survey on latent tree models and applications

Raphaël Mourad , Christine Sinoquet , N. Zhang , T. Liu , Philippe Leray
Journal of Artificial Intelligence Research, 2013, 47, pp.157-203. ⟨10.1613/jair.3879⟩
Journal articles hal-00828445v1

Probabilistic graphical models for genetic association studies

Raphaël Mourad , Christine Sinoquet , Philippe Leray
Briefings in Bioinformatics, 2012, 13 (1), pp.20-33. ⟨10.1093/bib/BBR015⟩
Journal articles hal-00573325v1

A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies.

Raphaël Mourad , Christine Sinoquet , Philippe Leray
BMC Bioinformatics, 2011, 12 (1), pp.16. ⟨10.1186/1471-2105-12-16⟩
Journal articles hal-00567988v1
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Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs

Karim Tabia , Philippe Leray
Intelligent Data Analysis, 2011, 15 (6), pp.955-978. ⟨10.3233/IDA-2011-0504⟩
Journal articles hal-00568027v1

Visualization of pairwise and multilocus linkage disequilibrium structure using latent forests.

Raphaël Mourad , Christine Sinoquet , Christian Dina , Philippe Leray
PLoS ONE, 2011, 6 (12), pp.e27320. ⟨10.1371/journal.pone.0027320⟩
Journal articles hal-00655876v1

A dynamic bayesian network to represent discrete duration models

Roland Donat , Philippe Leray , Laurent Bouillaut , Patrice Aknin
Neurocomputing, 2010, 73 (4-6), pp.570-577. ⟨10.1016/j.neucom.2009.09.012⟩
Journal articles hal-00425443v1

Causal discovery in non-ideal frameworks. Information interaction intelligence

Stijn Meganck , Philippe Leray , Bernard Manderick
Revue I3 - Information Interaction Intelligence, 2009, 9 (1), pp.11-45
Journal articles hal-00476126v1
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Reconstruction of gene regulation networks from microarray data by Bayesian networks

Hoai-Tuong Nguyen , Gérard Ramstein , Philippe Leray , Yannick Jacques
MODGRAPH - Journées Ouvertes en Biologie, Informatique et Mathématiques (JOBIM), 2009, pp.42-46
Journal articles hal-00582682v1
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Apprentissage de structure des réseaux bayésiens et données incomplètes

Olivier François , Philippe Leray
Revue des Nouvelles Technologies de l'Information, 2005, RNTI-E-3, pp127-132
Journal articles hal-04228243v1
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Étude Comparative d’Algorithmes d’Apprentissage de Structure dans les Réseaux Bayésiens

Olivier François , Philippe Leray
JEDAI - Journal électronique d'intelligence artificielle, 2005
Journal articles hal-04227290v1
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De l'utilisation d'OBD pour la sélection de variables dans les Perceptrons Multi-couches

Philippe Leray , Patrick Gallinari
Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2001, 15 (3-4), pp.373-391. ⟨10.3166/ria.15.373-391⟩
Journal articles hal-01176949v1

Feature extraction with neural networks

Philippe Leray , Patrick Gallinari
Behaviormetrika, 1999, 26 (1), pp.145-166. ⟨10.2333/bhmk.26.145⟩
Journal articles hal-01184481v1
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Une extension des modèles graphiques de durée pour estimer l'évolution des coûts de maintenance dans le logement résidentiel

Julien Blanchard , Philippe Leray , Florianne Marandel , Thomas Piton
11èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes, Nantes Université - pôle Sciences et technologie, Jun 2023, Nantes, France
Conference papers hal-04154066v1

An optimized Quantum circuit representation of Bayesian networks

Walid Fathallah , Nahla Ben Amor , Philippe Leray
11èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes, Nantes Université - pôle Sciences et technologie, Jun 2023, Nantes, France
Conference papers hal-04154072v1
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Un modèle générique avec structuration des compétences et facteurs externes pour le Bayesian Knowledge Tracing

Quentin Couland , Philippe Leray , Amine Boulahmel
11èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes, Nantes Université - pôle Sciences et technologie, Jun 2023, Nantes,, France
Conference papers hal-04154064v1

L’autorégulation des apprentissages dans une formation pour adulte. L’exemple de la demande d’aide

Marine Roche , Hugues Pentecouteau , Philippe Leray , Fahima Djelil , Eric Bertrand
Congrès international d’Actualité de la Recherche en Éducation et en Formation (AREF), Sep 2022, Lausanne, Suisse
Conference papers hal-03794749v1
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Unsupervised co-training of bayesian networks for condition prediction

Mathilde Monvoisin , Philippe Leray , Mathieu Ritou
34th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, 2021, Kuala Lumpur, Malaysia. pp.577-588, ⟨10.1007/978-3-030-79463-7_49⟩
Conference papers hal-03172024v1
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Supporting Self-Regulation Learning Using a Bayesian Approach. Some Preliminary Insights

Fahima Djelil , Jean-Marie Gilliot , Serge Garlatti , Philippe Leray
International Joint Conference on Artificial Intelligence IJCAI-21, Workshop Artificial Intelligence for Education, Aug 2021, Montreal (virtual), Canada
Conference papers hal-03325733v1
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Unsupervised condition monitoring with bayesian networks: an application on high speed machining

Mathilde Monvoisin , Philippe Leray , Mathieu Ritou
31th European Safety and Reliability Conference, ESREL 2021, 2021, Angers, France. pp.1990-1997, ⟨10.1007/978-3-030-86772-0_16⟩
Conference papers hal-03324339v1
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Interactive anomaly detection in mixed tabular data using Bayesian networks

Evan Dufraisse , Philippe Leray , Raphaël Nedellec , Tarek Benkhelif
10th International Conference on Probabilistic Graphical Models (PGM 2020), Sep 2020, Aalborg, Denmark
Conference papers hal-03014622v1
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Graphical event model learning and verification for security assessment

Dimitri Antakly , Benoit Delahaye , Philippe Leray
32th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems (IEA/AIE 2019), 2019, Graz, Austria. pp.245-252, ⟨10.1007/978-3-030-22999-3_22⟩
Conference papers hal-02129161v1
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On intercausal interactions in probabilistic relational models

Silja Rennoij , Linda van Der Gaag , Philippe Leray
The Eleventh International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ’19), 2019, Ghent, Belgium. pp.327 - 329
Conference papers hal-02129171v1
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Multi-task transfer learning for timescale graphical event models

Mathilde Monvoisin , Philippe Leray
15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2019), 2019, Belgrade, Serbia. ⟨10.1007/978-3-030-29765-7_26⟩
Conference papers hal-02193272v1

A probabilistic relational model approach for fault tree modeling with spatial information and resource management

Thierno Kante , Philippe Leray
32th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems (IEA/AIE 2019), 2019, Graz, Austria. pp.555-563, ⟨10.1007/978-3-030-22999-3_48⟩
Conference papers hal-02129155v1
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Relational Constraints for Metric Learning on Relational Data

Jiajun Pan , Hoel Le Capitaine , Philippe Leray
Eighth International Workshop on Statistical Relational AI, IJCAI, Jul 2018, Stockholm, Sweden
Conference papers hal-02017253v1
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Qualitative probabilistic relational models

Linda van Der Gaag , Philippe Leray
The 12th International Conference on Scalable Uncertainty Management (SUM 2018), 2018, Milano, Italy. pp.276-289, ⟨10.1007/978-3-030-00461-3_19⟩
Conference papers hal-01891685v1
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Using Probabilistic Relational Models to Generate Synthetic Spatial or Non-spatial Databases

Rajani Chulyadyo , Philippe Leray
Research Challenges in Information Science (RCIS) 2018, 12th International Conference on, May 2018, Nantes, France. pp.1-12, ⟨10.1109/RCIS.2018.8406645⟩
Conference papers hal-01761901v1
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DAPER joint learning from partially structured Graph Databases

Marwa El Abri , Philippe Leray , Nadia Essoussi
Third annual International Conference on Digital Economy (ICDEc 2018), 2018, Brest, France. pp.129-138, ⟨10.1007/978-3-319-97749-2_10⟩
Conference papers hal-01804057v1
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Complex event processing under uncertainty using Markov chains, constraints, and sampling

Romain Rincé , Romain Kervarc , Philippe Leray
2nd International Joint Conference on Rules and Reasoning (RuleML+RR 2018), 2018, Luxembourg, Luxembourg. pp.147-163, ⟨10.1007/978-3-319-99906-7_10⟩
Conference papers hal-01891691v1
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Learning the parameters of possibilistic networks from data: Empirical comparison

Maroua Haddad , Philippe Leray , Amélie Levray , Karim Tabia
Thirtieth International Florida Artificial Intelligence Research Society Conference (FLAIRS 30), 2017, Marco Island, United States
Conference papers hal-01532494v1
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Customer relationship management and small data - application of bayesian network elicitation techniques for building a lead scoring model

Youssef Benhaddou , Philippe Leray
14th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2017), Oct 2017, Hammamet, Tunisia. pp.251-255, ⟨10.1109/AICCSA.2017.51⟩
Conference papers hal-01619307v1
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On the use of walkSAT based algorithms for MLN inference in some realistic applications

Romain Rincé , Romain Kervarc , Philippe Leray
30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems (IEA/AIE 2017), 2017, Arras, France. ⟨10.1007/978-3-319-60045-1_15⟩
Conference papers hal-01532492v1
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A probabilistic relational model approach for fault trees modeling

Thierno Kante , Philippe Leray
30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems (IEA/AIE 2017), 2017, Arras, France. ⟨10.1007/978-3-319-60045-1_18⟩
Conference papers hal-01532490v1

Possibilistic MDL: a new possibilistic likelihood based score function for imprecise data

Maroua Haddad , Philippe Leray , Nahla Ben Amor
Fourteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2017), 2017, Lugano, Switzerland. pp.435-445, ⟨10.1007/978-3-319-61581-3_39⟩
Conference papers hal-01532488v1
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Learning probabilistic relational models with (partially structured) graph databases

Marwa El Abri , Philippe Leray , Nadia Essoussi
14th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2017), 2017, Hammamet, Tunisia. ⟨10.1109/AICCSA.2017.39⟩
Conference papers hal-01619318v1
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Détection et prédiction de défaillances dans un parc d'éoliennes à l'aide de réseaux bayésiens

Toader Gherasim , Bouthayna Ed-Dahmouni , Philippe Leray
8èmes journées francophones de réseaux bayésiens (JFRB 2016), 2016, Clermont-Ferrand, France
Conference papers hal-01347808v1

État de l’art des méthodes de détections de communautés dans les réseaux bipartis binaires et pondérés.

Mouna Rifi , Philippe Leray
In 7ème édition du colloque bisannuel Apprentissage Artificiel & Fouille de Données (AAFD) et 23èmes Rencontres annuelles de la Société Francophone de Classification (SFC), 2016, Marrakech, Maroc. pp.1-6
Conference papers hal-01348300v1
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A hybrid approach for probabilistic relational models structure learning

Mouna Ben Ishak , Philippe Leray , Nahla Ben Amor
15th International Symposium on Intelligent Data Analysis (IDA 2016), 2016, Stockholm, Sweden. ⟨10.1007/978-3-319-46349-0_4⟩
Conference papers hal-01347798v1
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An exact approach to learning probabilistic relational model

Nourhene Ettouzi , Philippe Leray , Montassar Ben Messaoud
8th International Conference on Probabilistic Graphical Models (PGM 2016), 2016, Lugano, Switzerland. pp.171-182
Conference papers hal-01347804v1
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Possibilistic networks parameter learning: Preliminary empirical comparison

Maroua Haddad , Philippe Leray , Amélie Levray , Karim Tabia
8èmes journées francophones de réseaux bayésiens (JFRB 2016), 2016, Clermont-Ferrand, France. pp.?-?
Conference papers hal-01347810v1

Impact du choix de la méthode de partitionnement pour les forêts d'arbres latents

Duc-Thanh Phan , Philippe Leray , Christine Sinoquet
SFC2015, P. Kuntz, Sep 2015, Nantes, France. pp.24-27
Conference papers hal-01205544v1

Probabilistic Relational Models with Clustering Uncertainty

Anthony Coutant , Leray Philippe , Hoel Le Capitaine
IEEE International Joint Conference on Neural Networks (IJCNN 2015), Jul 2015, Killarney, Ireland
Conference papers hal-01183563v1
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Integrating spatial information into probabilistic relational model

Rajani Chulyadyo , Philippe Leray
2015 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), 2015, Paris, France. ⟨10.1109/DSAA.2015.7344800⟩
Conference papers hal-01201226v1
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On the equivalence between regularized nmf and similarity-augmented graph partitioning

Anthony Coutant , Hoel Le Capitaine , Philippe Leray
23th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015), 2015, Bruges, Belgium
Conference papers hal-01150691v1
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Evaluating product-based possibilistic networks learning algorithms

Nahla Ben Amor , Maroua Haddad , Philippe Leray
13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2015), 2015, Compiègne, France. ⟨10.1007/978-3-319-20807-7_28⟩
Conference papers hal-01150813v1
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CPD tree learning using contexts as background knowledge

Gérard Ramstein , Philippe Leray
13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2015), 2015, Compiègne, France. ⟨10.1007/978-3-319-20807-7_32⟩
Conference papers hal-01150694v1
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Learning possibilistic networks from data: a survey.

Maroua Haddad , Philippe Leray , Nahla Ben Amor
16th World Congress of the International Fuzzy Systems Association (IFSA) and the 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), 2015, Gijon, Spain. ⟨10.2991/ifsa-eusflat-15.2015.30⟩
Conference papers hal-01150815v1

Learning Probabilistic Relational Models Using Non-Negative Matrix Factorization

Anthony Coutant , Leray Philippe , Hoel Le Capitaine
International Florida Artificial Intelligence Research Society (FlAIRS) Conference, May 2014, Pensacola Beach, Floride, United States
Conference papers hal-01183565v1

New data mining techniques in materials science: Bayesian networks to predict the yield stress of Ni-base superalloys

Edern Menou , Franck Tancret , Philippe Leray
TMS2014, 143rd Annual Meeting & Exhibition, 2014, San Diego, United States
Conference papers hal-01016497v1
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Probabilistic Cognitive Maps Semantics of a Cognitive Map when the Values are Assumed to be Probabilities

Aymeric Le Dorze , Béatrice Duval , Laurent Garcia , David Genest , Philippe Leray
International Conference on Agents and Artificial Intelligence (ICAART), 2014, Angers, France. pp.52-62
Conference papers hal-00957935v1
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Évaluation des algorithmes d'apprentissage de structure pour les réseaux bayésiens dynamiques.

Ghada Trabelsi , Philippe Leray , Mounir Ben Ayed , Adel Alimi
7èmes journées francophones sur les réseaux bayésiens (JFRB 2014), 2014, Paris, France
Conference papers hal-01005775v1

A Personalized Recommender System from Probabilistic Relational Model and Users’ Preferences

Rajani Chulyadyo , Philippe Leray
Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, KES-2014, Sep 2014, Gdynia, Poland. pp.1063-1072, ⟨10.1016/j.procs.2014.08.193⟩
Conference papers hal-01084449v1

Bayesian networks in materials science: new tools to predict the properties of materials

Franck Tancret , Philippe Leray , Edern Menou
TMS2014 - 143rd Annual Meeting & Exhibition, 2014, San Diego, United States
Conference papers hal-01016503v1

La génération aléatoire de réseaux bayésiens relationnels

Mouna Ben Ishak , Philippe Leray , Nahla Ben Amor
7ème journées francophones sur les réseaux bayésiens (JFRB 2014), 2014, Paris, France
Conference papers hal-01005772v1

Random generation and population of probabilistic relational models and databases

Mouna Ben Ishak , Leray Philippe , Nahla Ben Amor
26th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2014), Nov 2014, Limassol, Cyprus. pp.756-763, ⟨10.1109/ICTAI.2014.117⟩
Conference papers hal-01084510v1

Apprentissage de modèles relationnels probabilistes par factorisation non-négative de matrices

Anthony Coutant , Philippe Leray , Hoel Le Capitaine
7èmes journées francophones sur les réseaux bayésiens (JFRB 2014), 2014, Paris, France
Conference papers hal-01005777v1

Advances in Learning with Bayesian Networks

Philippe Leray
6th International Conference on Agents and Artificial Intelligence (ICAART 2014), Mar 2014, Angers, France
Conference papers hal-00957937v1

Apprentissage des réseaux possibilistes à partir de données: un survol

Maroua Haddad , Nahla Ben Amor , Philippe Leray
7èmes journées francophones sur les réseaux bayésiens (JFRB 2014), 2014, Paris, France
Conference papers hal-01005780v1

Relational bayesian networks for recommender systems: review and comparative study

Mouna Ben Ishak , Rajani Chulyadyo , Ahmed Abdelwahab , Miriam Ramirez , Philippe Leray
ENBIS-SFdS Spring Meeting on graphical causality models: Trees, Bayesian Networks and Big Data, Apr 2014, Paris, France
Conference papers hal-00957940v1

Modeling genetical data with forests of latent trees for applications in association genetics at a large scale. Which clustering method should be chosen?

Duc-Thanh Phan , Philippe Leray , Christine Sinoquet
International Conference on Bioinformatics Models, Methods and Algorithms, Bioinformatics2015, Nov 2014, Lisbon, Portugal. pp.12
Conference papers hal-01084907v1
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Learning Probabilistic Relational Models using co-clustering methods

Anthony Coutant , Philippe Leray , Hoel Le Capitaine
Structured Learning: Inferring Graphs from Structured and Unstructured Inputs (SLG 2013) ICML Workshop, 2013, Atlanta, United States
Conference papers hal-00819031v1

Benchmarking dynamic bayesian network structure learning algorithms

Ghada Trabelsi , Philippe Leray , Mounir Ben Ayed , Adel Alimi
International Conference on Modeling, Simulation and Applied Optimization (ICMSAO 2013), 2013, Hammamet, Tunisia. pp.1-6, ⟨10.1109/ICMSAO.2013.6552549⟩
Conference papers hal-00812171v1
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Incremental bayesian network structure learning in high dimensional domains

Amanullah Yasin , Philippe Leray
International Conference on Modeling, Simulation and Applied Optimization (ICMSAO 2013), 2013, Hammamet, Tunisia. pp.1-6, ⟨10.1109/ICMSAO.2013.6552635⟩
Conference papers hal-00812175v1

Probabilistic cognitive maps

Aymeric Le Dorze , Béatrice Duval , Laurent Garcia , David Genest , Philippe Leray
Septièmes Journées de l'Intelligence Artificielle Fondamentale (JIAF), 2013, Aix en provence, France
Conference papers hal-00828271v1
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A RBN-based recommender system architecture

Mouna Ben Ishak , Nahla Ben Amor , Philippe Leray
International Conference on Modeling, Simulation and Applied Optimization (ICMSAO 2013), 2013, Hammamet, Tunisia. pp.1-6, ⟨10.1109/ICMSAO.2013.6552609⟩
Conference papers hal-00812168v1

Modeling of genotype data with forests of latent trees to detect genetic causes of diseases

Christine Sinoquet , Raphaël Mourad , Philippe Leray
Ado2013 (Machine Learning and Omics Data), Dec 2013, Lille, France. 6 p
Conference papers hal-00915538v1
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Active learning of causal bayesian networks using ontologies: a case study

Montassar Ben Messaoud , Philippe Leray , Nahla Ben Amor
International Joint Conference on Neural Networks, 2013, Dallas, United States. pp.1-6
Conference papers hal-00864156v1

Imputation of possibilistic data for structural learning of directed acyclic graphs Genova, Italy.

Maroua Haddad , Nahla Ben Amor , Philippe Leray
International Workshop on Fuzzy Logic and Applications, 2013, Genoa, Italy. pp.68-76, ⟨10.1007/978-3-319-03200-9_8⟩
Conference papers hal-00864157v1

Dynamic MMHC: a local search algorithm for dynamic bayesian network structure learning

Ghada Trabelsi , Philippe Leray , Mounir Ben Ayed , Adel Alimi
International Symposium on Intelligent Data Analysis, 2013, London, United Kingdom. pp.392-403, ⟨10.1007/978-3-642-41398-8_34⟩
Conference papers hal-00864162v1

Approximation efficace de mélanges bootstrap d'arbres de markov pour l'estimation de densité.

François Schnitzler , Sourour Ammar , Philippe Leray , Pierre Geurts , Louis Wehenkel
Conférence francophone sur l'Apprentissage Automatique, 2012, Nancy, France. pp.16
Conference papers hal-00700464v1

Forests of latent tree models for the detection of genetic associations

Christine Sinoquet , Raphaël Mourad , Philippe Leray
International Conference on Bioinformatics Models, Methods and Algorithms (BIOINFORMATICS 2012), Feb 2012, Vilamoura, Portugal. pp.1-10, ⟨10.5220/0003703400050014⟩
Conference papers hal-00637500v1
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Discrete exponential bayesian networks structure learning for density estimation

Aida Jarraya , Philippe Leray , Afif Masmoudi
International Conference on Intelligent Computing, 2012, Huangshan, China. pp.?-?, ⟨10.1007/978-3-642-31837-5_21⟩
Conference papers hal-00691834v1
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Approximation efficace de mélanges bootstrap d'arbres de Markov pour l'estimation de densité

François Schnitzler , Sourour Ammar , Philippe Leray , Pierre Geurts , Louis Wehenkel
Conférence Francophone sur l'Apprentissage Automatique - CAp 2012, Laurent Bougrain, May 2012, Nancy, France. 16 p
Conference papers hal-00745501v1

A new implicit parameter estimation for conditional gaussian bayesian networks

Aida Jarraya , Philippe Leray , Afif Masmoudi
Uncertainty Modeling in Knowledge Engineering and Decision Making, 2012, Istanbul, Turkey. pp.?-?
Conference papers hal-00691835v1
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Semcado: a serendipitous causal discovery algorithm for ontology evolution

Montassar Ben Messaoud , Philippe Leray , Nahla Ben Amor
ARCOE 2011, 2011, Barcelona, Spain. pp.43-47
Conference papers hal-00645000v1
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Mixture of markov trees for bayesian network structure learning with small datasets in high dimensional space

Sourour Ammar , Philippe Leray
ECSQARU 2011, 2011, Belfast, Ireland. pp.229-238
Conference papers hal-00644991v1

Efficiently approximating markov tree bagging for high-dimensional density estimation

François Schnitzler , Sourour Ammar , Philippe Leray , Pierre Geurts , Louis Wehenkel
ECML-PKDD 2011, 2011, Athens, Greece. pp.113-128, ⟨10.1007/978-3-642-23808-6_8⟩
Conference papers hal-00645009v1

Multiple hypothesis testing and quasi essential graph for comparing two sets of bayesian networks

Hoai-Tuong Nguyen , Philippe Leray , Gérard Ramstein
KES 2011, 2011, Kaiserslautern, Germany. pp.176-185, ⟨10.1007/978-3-642-23863-5_18⟩
Conference papers hal-00645006v1
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SemCaDo: a serendipitous strategy for learning causal bayesian networks using ontologies

Montassar Ben Messaoud , Philippe Leray , Nahla Ben Amor
The 11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Jun 2011, Belfast, Ireland. pp.182-193
Conference papers hal-00596260v1
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SemCaDo: a serendipitous causal discovery algorithm for ontology evolution

Montassar Ben Messaoud , Philippe Leray , Nahla Ben Amor
The IJCAI-11 Workshop on Automated Reasoning about Context and Ontology Evolution, Jul 2011, Barcelone, Spain
Conference papers hal-00596261v1
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Local Skeleton Discovery for Incremental Bayesian Network Structure Learning

Amanullah Yasin , Philippe Leray
International Conference on Computer Networks and Information Technology (ICCNIT), Jul 2011, Peshawar, Pakistan
Conference papers hal-00595152v1
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Summarizing and visualizing a set of bayesian networks with quasi essential graphs

Hoai-Tuong Nguyen , Philippe Leray , Gérard Ramstein
ASMDA 2011, 2011, Roma, Italy. pp.1062-1069
Conference papers hal-00645005v1
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A two-way approach for probabilistic graphical models structure learning and ontology enrichment.

Mouna Ben Ishak , Philippe Leray , Nahla Ben Amor
KEOD 2011, 2011, Paris, France. pp.189-194
Conference papers hal-00644993v1

Discrete exponential bayesian networks: an extension of bayesian networks to discrete natural exponential families

Aida Jarraya , Philippe Leray , Afif Masmoudi
ICTAI 2011, 2011, Palm Beach County, United States. pp.?-?, ⟨10.1109/ICTAI.2011.38⟩
Conference papers hal-00645003v1
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Ontology-based generation of object oriented bayesian networks

Mouna Ben Ishak , Philippe Leray , Nahla Ben Amor
BMAW 2011, 2011, Barcelona, Spain. pp.9-17
Conference papers hal-00644992v1

immpc: A local search approach for incremental bayesian network structure learning

Amanullah Yasin , Philippe Leray
IDA 2011, 2011, Porto, Portugal. pp.401-412, ⟨10.1007/978-3-642-24800-9_37⟩
Conference papers hal-00645014v1

From redundant/irrelevant alert elimination to handling IDSs' reliability and controlling severe attack prediction/false alarm rate tradeoffs

Karim Tabia , Philippe Leray , Ludovic Mé
Fifth Conference on Network and Information Systems Security (SARSSI 2010), May 2010, Nice, France. pp.15
Conference papers hal-00481061v1

Handling idss' reliability in alert correlation: A bayesian network-based model for handling IDS's reliability and controlling prediction/false alarm rate tradeoffs

Karim Tabia , Philippe Leray
International Conference on Security and Cryptography (SECRYPT'10), 2010, Athens, Greece. pp.14-24
Conference papers hal-00866587v1

Bayesian network-based approaches for severe attack prediction and handling IDSs' reliability

Karim Tabia , Philippe Leray
International Conference on Information Processing and Management of Uncertainty (IPMU'10), Jun 2010, Dortmund, Germany. pp.12
Conference papers hal-00481056v1

From redundant/irrelevant alert elimination to handling IDSes reliability and controlling severe attack prediction/false alarm rate tradeoffs

Karim Tabia , Philippe Leray , Ludovic Mé
5ème Conférence sur la sécurité des architectures réseaux et systèmes d'information, May 2010, Menton, France. pp.NC
Conference papers hal-00534569v1
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Sub-quadratic markov tree mixture models for probability density estimation

Sourour Ammar , Philippe Leray , Louis Wehenkel
COMPSTAT 2010, 2010, Paris, France. pp.?-?
Conference papers hal-00487353v1

Handling IDS' reliability in alert correlation: A Bayesian network-based model for handling IDS's reliability and controlling prediction/false alarm rate tradeoffs

Karim Tabia , Philippe Leray
International Conference on Security and Cryptography (SECRYPT'2010), Jul 2010, Athène, Greece. pp.11
Conference papers hal-00481054v1

Learning Hierarchical Bayesian Networks for Genome-Wide Association Studies

Raphaël Mourad , Christine Sinoquet , Philippe Leray
COMPSTAT, Nineteenth International Conference on Computational Statististics, Aug 2010, Paris, France. pp.549-556
Conference papers hal-00484696v1
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Apprentissage de réseaux bayésiens hiérarchiques latents pour les études d'association pangénomiques

Raphaël Mourad , Christine Sinoquet , Philippe Leray
Proc. JFRB 2010, 5th French-speaking meeting on Bayesian networks, Nantes, May 2010, Nantes, France. pp.11-12
Conference papers hal-00484706v1
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Réseaux bayésiens hiérarchiques avec variables latentes pour la modélisation des dépendances entre SNP: une approche pour les études d'association pangénomiques

Raphaël Mourad , Christine Sinoquet , Philippe Leray
Proc. SFC 2010, XVIIth Join Meeting of the French Society of Classification, France, Saint-Denis de la Réunion, 9-11 june, Jun 2010, Saint-Denis de la Réunion, France. pp.25-29
Conference papers hal-00484705v1

From redundant/irrelevant alert elimination to handling idss' reliability and controlling severe attack prediction/false alarm rate tradeoffs

Karim Tabia , Philippe Leray , Ludovic Mé
5th Conference on Network and Information Systems Security (SARSSI'10), 2010, Rocquebrune Cap-Martin, France
Conference papers hal-00870800v1
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Sub-quadratic Markov tree mixture learning based on randomizations of the Chow-Liu algorithm

Sourour Ammar , Philippe Leray , François Schnitzler , Louis Wehenkel
PGM 2010, Sep 2010, Helsinki, Finland. pp.17-25
Conference papers hal-00568028v1
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L'intégration des connaissances ontologiques pour l'apprentissage des réseaux bayesiens causaux

Montassar Ben Messaoud , Nahla Ben Amor , Philippe Leray
5èmes Journées Francophones sur les Réseaux Bayésiens (JFRB2010), May 2010, Nantes, France
Conference papers hal-00474395v1
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Differential study of the cytokine network in the immune system: An evolutionary approach based on the Bayesian networks

Hoai-Tuong Nguyen , Gérard Ramstein , Leray Philippe , Yannick Jacques
The 2nd Asian Conference on Intelligent Information and Database Systems (ACIIDS), Mar 2010, Hue City, Vietnam. pp.?-?
Conference papers hal-00656723v1
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Approches basées sur les réseaux Bayésiens pour la prédiction d'attaques sévères

Karim Tabia , Philippe Leray
5èmes Journées Francophones sur les Réseaux Bayésiens (JFRB2010), May 2010, Nantes, France
Conference papers hal-00467656v1
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Towards sub-quadratic learning of probability density models in the form of mixtures of trees

François Schnitzler , Philippe Leray , Louis Wehenkel
ESANN 2010, 2010, Bruges, Belgium. pp.219-224
Conference papers hal-00487354v1
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Mélanges sous-quadratiques d'arbres de Markov pour l'estimation de la densité de probabilité

Sourour Ammar , Philippe Leray , Louis Wehenkel
5èmes Journées Francophones sur les Réseaux Bayésiens (JFRB2010), May 2010, Nantes, France
Conference papers hal-00474295v1
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Vers un apprentissage subquadratique pour les mélanges d'arbres

François Schnitzler , Philippe Leray , Louis Wehenkel
5èmes Journées Francophones sur les Réseaux Bayésiens (JFRB2010), May 2010, Nantes, France
Conference papers hal-00467066v1

Hierarchical Bayesian networks applied to association genetics

Raphaël Mourad , Christine Sinoquet , Philippe Leray
MODGRAPH 2010 (Modèles graphiques probabilistes pour l'intégration de données hétérogènes et la découverte de modèles causaux en biologie), Journée satellite de JOBIM 2010, Sep 2010, Montpellier, France
Conference papers hal-00915546v1

Modélisation des dépendances locales entre SNP à l'aide d'un réseau bayésien

Raphaël Mourad , Christine Sinoquet , Philippe Leray
Proc. SFC'09, XVIth Join Meeting of the French Society of Classification, actes des 16èmes rencontres de la Société Francophone de Classification, Sep 2009, Grenoble, France. pp.169-172
Conference papers hal-00423461v1
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Probability density estimation by perturbing and combining tree structured markov networks

Sourour Ammar , Philippe Leray , Boris Defourny , Louis Wehenkel
ECSQARU 2009, 2009, Verona, Italy. pp.156-167
Conference papers hal-00412283v1

Integrating ontological knowledge for iterative causal discovery and vizualisation

Montassar Ben Messaoud , Philippe Leray , Nahla Ben Amor
Workshop on Machine Learning and Visualization, 2009, Hammamet, Tunisia
Conference papers hal-00412890v1

Probability density estimation by perturbing and combining tree structured markov networks

Sourour Ammar , Philippe Leray , Boris Defourny , Louis Wehenkel
CAp 2009, 2009, Hammamet, Tunisia. pp.65-79
Conference papers hal-00412883v1
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Integrating ontological knowledge for iterative causal discovery and vizualisation

Montassar Ben Messaoud , Philippe Leray , Nahla Ben Amor
ECSQARU 2009, 2009, Verona, Italy. pp.168-179, ⟨10.1007/978-3-642-02906-6_16⟩
Conference papers hal-00412286v1
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A Bayesian network approach to model local dependencies among SNPs

Raphaël Mourad , Christine Sinoquet , Philippe Leray
MODGRAPH 2009 Probabilistic graphical models for integration of complex data and discovery of causal models in biology, satellite meeting of JOBIM 2009, Jun 2009, Nantes, France
Conference papers hal-00470528v1
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High-dimensional probability density estimation with randomized ensembles of tree structured bayesian networks

Sourour Ammar , Philippe Leray , Boris Defourny , Louis Wehenkel
PGM 2008, 2008, Hirtshals, Denmark. pp.9-16
Conference papers hal-00412288v1
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Evolutivité d'une architecture en temps réel de filtrage d'alertes générées par les systèmes de détection d'intrusions sur les réseaux

Ahmad Faour , Philippe Leray , Bassam Eter
RFIA 2008, 2008, Amiens, France. pp.CDROM
Conference papers hal-00412885v1

Approches markovienne et semi-markovienne pour la modélisation de la fiabilité et des actions de maintenance d'un système ferroviaire

Laurent Bouillaut , Roland Donat , Patrice Aknin , Philippe Leray
Workshop Surveillance, Sûreté et Sécurité des Grands Systèmes (3SGS'08), 2008, Troyes, France
Conference papers hal-00412902v1

Specific graphical models for analyzing the reliability

Roland Donat , Laurent Bouillaut , Patrice Aknin , Philippe Leray , Sandrine Bondeux
MED'08, 2008, Ajaccio, France. pp.621-626
Conference papers hal-00412495v1
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Dynamic bayesian networks modelling maintenance strategies: Prevention of broken rails

Laurent Bouillaut , Olivier François , Philippe Leray , Patrice Aknin , Stéphane Dubois
8th World Congress on Railway Research (WCRR 2008), May 2008, Seoul, South Korea
Conference papers hal-00412291v1
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Réseaux bayésiens dynamiques pour la représentation de modèles de durée en temps discret

Roland Donat , Philippe Leray , Laurent Bouillaut , Patrice Aknin
Journées Francophone sur les Réseaux Bayésiens, May 2008, Lyon, France
Conference papers hal-00259009v1
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Approche semi-markovienne pour la modélisation de stratégies de maintenance: application à la prévention de rupture du rail

Olivier François , Laurent Bouillaut , Patrice Aknin , Philippe Leray , S. Dubois
MOSIM'2008, 2008, Paris, France. pp.CDROM
Conference papers hal-00412887v1
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Estimation de densité par ensembles aléatoires de poly-arbres

Sourour Ammar , Philippe Leray , Louis Wehenkel
Journées Francophone sur les Réseaux Bayésiens, May 2008, Lyon, France
Conference papers hal-00259868v1
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UnCaDo: Unsure Causal Discovery

Stijn Meganck , Philippe Leray , Bernard Manderick
Journées Francophone sur les Réseaux Bayésiens, May 2008, Lyon, France
Conference papers hal-00259692v1
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Density estimation with ensembles of randomized poly-trees

Sourour Ammar , Philippe Leray , Boris Defourny , Louis Wehenkel
BENELEARN 2008, May 2008, Spa, Belgium. pp.31-32
Conference papers hal-00568050v1

Reliability analysis using graphical duration models

Roland Donat , Laurent Bouillaut , Patrice Aknin , Philippe Leray
ARES 2008, 2008, Barcelona, Spain. pp.795-800
Conference papers hal-00412299v1
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Growing hierarchical self-organizing map for alarm filtering in network intrusion detection systems

Ahmad Faour , Philippe Leray , Bassam Eter
NTMS'07, 2007, Paris, France. pp.CDROM, ⟨10.1007/978-1-4020-6270-4_58⟩
Conference papers hal-00412943v1
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A generic approach to model complex system reliability using graphical duration models

Roland Donat , Laurent Bouillaut , Patrice Aknin , Philippe Leray , D. Levy
Mathematical Methods in Reliability: Methodology and Practice (MMR 2007),, 2007, Glasgow, United Kingdom
Conference papers hal-00412501v1
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Causal graphical models with latent variables: Learning and inference

Stijn Meganck , Philippe Leray , Bernard Manderick
ECSQARU, 2007, Hammamet, Tunisia. pp.5-16, ⟨10.1007/978-3-540-75256-1_4⟩
Conference papers hal-00412946v1
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Generation of incomplete test-data using bayesian networks

Olivier François , Philippe Leray
IJCNN, 2007, Orlando, United States. pp.2391-2396, ⟨10.1109/IJCNN.2007.4371332⟩
Conference papers hal-00412939v1
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Dynamic Compact Thermal Model with Neural Networks for Radar Applications

G. Mallet , Ph. Leray , H. Polaert , C. Tolant , Ph. Eudeline
THERMINIC 2006, Sep 2006, Nice, France. pp.118-122
Conference papers hal-00171366v1

Pertinence des mesures de confiance en classification

Philippe Leray , Hugo Zaragoza , Florence d'Alché-Buc
Conférence francophone RFIA, Feb 2000, Paris, France
Conference papers hal-01573394v1

Analyse de séquences non calibrées pour la reconstruction 3D de scène

Lionel Oisel , Frederic Fleuret , P. Horain , Luce Morin , Jean-Marc Vezien
Actes 11ème Congrès AFCET-RFIA (RFIA'98), Jan 1998, Clermont-Ferrand, France. pp.189-198
Conference papers hal-00272421v1

Data Fusion for Diagnosis in a Telecommunication Network

Philippe Leray , Patrick Gallinari
ICANN 1998 - 8th International Conference of Artificial Neural Networks, Sep 1998, Skövde, Sweden. pp.767-772, ⟨10.1007/978-1-4471-1599-1_118⟩
Conference papers hal-01617480v1

Neural Networks for Alarm Generation in Telephone Management

Philippe Leray , Patrick Gallinari , Elisabeth Didelet
Eighth Workshop on Principles of Diagnostic, 1997, Mont Saint-Michel, France
Conference papers hal-01649027v1

Local diagnosis for real-time network traffic management

Philippe Leray , Patrick Gallinari , Elisabeth Didelet
International Workshop on Applications of Neural Networks to Telecommunications (IWANNT'97), Jun 1997, Melbourne, Australia
Conference papers hal-01624733v1
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Belief Graphical Models for Uncertainty representation and reasoning

Salem Benferhat , Philippe Leray , Karim Tabia
A Guided Tour of Artificial Intelligence Research, volume II: AI Algorithms, pp.209-246, 2020, ⟨10.1007/978-3-030-06167-8_8⟩
Book sections hal-02049801v1

Latent Forests to Model Genetical Data for the Purpose of Multilocus Genome-wide Association Studies. Which clustering should be chosen?

Duc-Thanh Phan , Philippe Leray , Christine Sinoquet
Communication in Computer and Information Science, Springer, pp.17, 2015, BIOSTEC2015
Book sections hal-01204956v1
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A Probabilistic Semantics for Cognitive Maps

Aymeric Le Dorze , Béatrice Duval , Laurent Garcia , David Genest , Philippe Leray
Agents and Artificial Intelligence 6th International Conference, ICAART 2014, Angers, France, March 6-8, 2014, Revised Selected Papers, 8946, Springer, pp.151-169, 2015, Lecture Notes in Artificial Intelligence, ⟨10.1007/978-3-319-25210-0_10⟩
Book sections hal-01205961v1

Modèles graphiques pour l'incertitude : inférence et apprentissage

Salem Benferhat , Philippe Leray , Karim Tabia
P. Marquis, O. Papini, H. Prade. Panorama de l'Intelligence Artificielle, volume 2: Algorithmes pour l'intelligence artificielle, Cepadues, 26 p., 2014, 9782364930414
Book sections hal-01020910v1

Forests of latent tree models to decipher genotype-phenotype associations

Christine Sinoquet , Raphaël Mourad , Philippe Leray
J. Gariel, J. Schier, S. Van Huffel, E. Conchon, C. Correia, A. Fred and H. Gamboa. Biomedical Engineering Systems and Technologies, Communication in Computer and Information Science 357, Springer Berlin Heidelberg, pp.113-134, 2013, 978-3-642-38255-0. ⟨10.1007/978-3-642-38256-7_8⟩
Book sections hal-00915532v1
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Causal graphical models with latent variables : learning and inference

Philippe Leray , Stijn Meganck , Sam Maes , Bernard Manderick
Holmes, D. E. and Jain, L. Innovations in Bayesian Networks: Theory and Applications, Springer, pp.219-249, 2008, Studies in Computational Intelligence, vol.156/2008, ⟨10.1007/978-3-540-85066-3_9⟩
Book sections hal-00412263v1
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A dynamic graphical model to represent complex survival distributions

Roland Donat , Laurent Bouillaut , Patrice Aknin , Philippe Leray
Advances in Mathematical Modeling for Reliability, IOS Press, pp.17-24, 2008
Book sections hal-00412259v1
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An integral approach to causal inference with latent variables

Sam Maes , Stijn Meganck , Philippe Leray
Russo, F. and Williamson, J. Causality and Probability in the Sciences, London College Publications, pp.17-41, 2007, Texts In Philosophy series
Book sections hal-00412264v1
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Réseaux bayésiens : Apprentissage et diagnostic de systemes complexes

Ph. Leray
Modélisation et simulation. Université de Rouen, 2006
Habilitation à diriger des recherches tel-00485862v1