Philippe Leray
Orcid: 0000-0002-0207-9280Affiliations:
- Ecole Polytechnique de l'université de Nantes, France
According to our database1,
Philippe Leray
authored at least 91 papers
between 1996 and 2023.
Collaborative distances:
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Bibliography
2023
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023
2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
2021
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021
2020
Integrating expert's knowledge constraint of time dependent exposures in structure learning for Bayesian networks.
Artif. Intell. Medicine, 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
2019
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019
A Probabilistic Relational Model for Risk Assessment and Spatial Resources Management.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019
2018
Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018
Complex Event Processing Under Uncertainty Using Markov Chains, Constraints, and Sampling.
Proceedings of the Rules and Reasoning - Second International Joint Conference, 2018
Using Probabilistic Relational Models to generate synthetic spatial or non-spatial databases.
Proceedings of the 12th International Conference on Research Challenges in Information Science, 2018
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2018
2017
On the Use of WalkSAT Based Algorithms for MLN Inference in Some Realistic Applications.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017
Possibilistic MDL: A New Possibilistic Likelihood Based Score Function for Imprecise Data.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017
Customer Relationship Management and Small Data - Application of Bayesian Network Elicitation Techniques for Building a Lead Scoring Model.
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017
Learning Probabilistic Relational Models with (Partially Structured) Graph Databases.
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017
2016
Intell. Data Anal., 2016
Possibilistic Networks: Parameters Learning from Imprecise Data and Evaluation strategy.
CoRR, 2016
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016
2015
Rev. d'Intelligence Artif., 2015
Knowl. Based Syst., 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Learning possibilistic networks from data: a survey.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015
On the equivalence between regularized NMF and similarity-augmented graph partitioning.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Latent Forests to Model Genetical Data for the Purpose of Multilocus Genome-Wide Association Studies. Which Clustering Should Be Chosen?
Proceedings of the Biomedical Engineering Systems and Technologies, 2015
Modeling Genetical Data with Forests of Latent Trees for Applications in Association Genetics at a Large Scale - Which Clustering Method should Be Chosen?.
Proceedings of the BIOINFORMATICS 2015, 2015
2014
Discrete exponential Bayesian networks: Definition, learning and application for density estimation.
Neurocomputing, 2014
Int. J. Comput. Intell. Syst., 2014
A Personalized Recommender System from Probabilistic Relational Model and Users' Preferences.
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014
Advances in Learning with Bayesian Networks.
Proceedings of the ICAART 2014, 2014
Proceedings of the Agents and Artificial Intelligence - 6th International Conference, 2014
Probabilistic Cognitive Maps - Semantics of a Cognitive Map when the Values are Assumed to be Probabilities.
Proceedings of the ICAART 2014, 2014
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014
2013
Int. J. Approx. Reason., 2013
Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013
2012
Briefings Bioinform., 2012
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012
iMMPC: Une approche locale pour l'apprentissage incrémental de la structure des réseaux bayésiens.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012
Proceedings of the Biomedical Engineering Systems and Technologies, 2012
Forests of Latent Tree Models for the Detection of Genetic Associations.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012
2011
Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs.
Intell. Data Anal., 2011
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies.
BMC Bioinform., 2011
Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Multiple Hypothesis Testing and Quasi Essential Graph for Comparing Two Sets of Bayesian Networks.
Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011
Discrete Exponential Bayesian Networks: An Extension of Bayesian Networks to Discrete Natural Exponential Families.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
A Two-way Approach for Probabilistic Graphical Models Structure Learning and Ontology Enrichment.
Proceedings of the KEOD 2011, 2011
SemCaDo: A Serendipitous Strategy for Learning Causal Bayesian Networks Using Ontologies.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011
Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011
2010
Neurocomputing, 2010
Handling IDS' Reliability in Alert Correlation - A Bayesian Network-based Model for Handling IDS's Reliability and Controlling Prediction/False Alarm Rate Tradeoffs.
Proceedings of the SECRYPT 2010, 2010
Bayesian Network-Based Approaches for Severe Attack Prediction and Handling IDSs' Reliability.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2010
Towards sub-quadratic learning of probability density models in the form of mixtures of trees.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Proceedings of the 19th International Conference on Computational Statistics, 2010
2009
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009
2008
Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008
Proceedings of the The Third International Conference on Availability, 2008
2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
2006
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006
Proceedings of the The First International Conference on Availability, 2006
2005
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005
Réseaux bayésiens pour le filtrage d'alarmes dans les systèmes de détection d'intrusions.
Proceedings of the Extraction des connaissances : Etat et perspectives (Ateliers de la conférence EGC'2005), 2005
A Learning Algorithm for Multi-Agent Causal Models.
Proceedings of the EUMAS 2005, 2005
2004
Réseaux bayésiens pour la classification Méthodologie et illustration dans le cadre du diagnostic médical.
Rev. d'Intelligence Artif., 2004
Clustering And Bayesian Network Approaches For Discovering Handwriting Strategies Of Primary School Children.
Int. J. Pattern Recognit. Artif. Intell., 2004
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 2004
2001
De l'utilisation d'OBD pour la sélection de variables dans les perceptrons multicouches.
Rev. d'Intelligence Artif., 2001
1996
Proceedings of the Artificial Neural Networks, 1996