Jean-Baptiste Durand
Présentation
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Offre de thèse
Estimation de densités foliaires à l’échelle individuelle par LiDAR
Publications
Publications
Review of HSMM R and Python softwareMaSeMo : Markov, Semi-Markov Models and Associated Fields (from Theory to Application and back), Jul 2025, Paris, France. pp.21 |
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Review of estimation algorithms for HMM/HSMM with mixed effectsMaSeMo : Markov, Semi-Markov Models and Associated Fields (from Theory to Application and back), Jul 2025, Paris, France. pp.9 |
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Multichain Hidden Markov and Semi-Markov Models: Formalization, Inference, and ApplicationsMaSeMo : Markov, Semi-Markov Models and Associated Fields (from Theory to Application and back), Jul 2025, Paris, France. pp.11 |
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Semantic segmentation of forest point clouds using neural network55. Journées de Statistique de la SFdS (JdS 2024), May 2024, Bordeaux, France. pp.1-10 |
Estimation of leaf area index using simulated UAV laser ScanningTRIDIFOR 2024 – Méthodes innovantes d’analyse de données 3D en forêt, GIP ECOFOR, Nov 2024, Online, France |
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Analysing the architecture of Corylus avellana and parametrizing L-HAZELNUT FSPMFSPM 2023 - 10. International Conference on Functional-Structural Plant Models, Dr. Susann Müller, Mar 2023, Berlin, Germany. pp.1-2 |
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Leaf/Wood discrimination in ULS LiDAR using Neural NetworkSilviLaser 2023, University College London, Gower Street, London, Sep 2023, London, United Kingdom |
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Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination37. Conference on Neural Information Processing Systems (NeurIPS 2023), Dec 2023, New Orleans, United States. pp.1-21 |
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Apprentissage par transfert pour discriminer le bois/feuille des Unmanned aerial vehicle Laser Scanning (ULS)TRIDIFOR 2022 - Méthodes innovantes d’analyse de données 3D en forêt, GIP ECOFOR, Sep 2022, Online, France. 1 p |
Apprentissage par transfert pour discriminer le bois/feuille des Drone laser scanning (DLS)TRIDIFOR 2022 - Méthodes innovantes d’analyse de données 3D en forêt, GIP ECOFOR, Sep 2022, Online, Canada. 1 p |
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Compétitions d’analyse des données à l’Université Grenoble Alpes : motivations, organisation et retours d’expérienceCFIES 2019 - Colloque francophone international sur l'enseignement de la statistique, Sep 2019, Strasbourg, France. pp.1-6 |
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Assessment of various initialization strategies for the Expectation-Maximization algorithm for Hidden Semi-Markov Models with multiple categorical sequencesJdS 2019 - 51èmes Journées de Statistique, Jun 2019, Vandœuvre-lès-Nancy, France. pp.1-7 |
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Approximation of trees by self-nested treesALENEX 2019 - Algorithm Engineering and Experiments, Jan 2019, San Diego, United States. pp.39-53, ⟨10.1137/1.9781611975499.4⟩ |
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Analysis of the Impact of Carbon Source-sink Relationships on Flowering Patterns Reveals That Apple Tree Growth and Functioning are Determined by Mechanisms Occurring at the Tree and Shoot Scales11. International Symposium on Integrating Canopy, Rootstock and Environmental Physiology in Orchard Systems, L. Corelli Grappadelli, Aug 2016, Bologna, Italy. pp.405-412, ⟨10.17660/ActaHortic.2018.1228.60⟩ |
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Genetic determinism of flowering regularity over years in an apple multi-family populationInternational Symposium on Flowering, Fruit Set and Alternate Bearing, Jun 2017, Palermo, Italy. pp.15-22, ⟨10.17660/ActaHortic.2018.1229.3⟩ |
Eye-tracking data analysis using hidden semi-Markovian models to identify and characterize reading strategiesECM 2017 - 19th European Conference on Eye Movements, Aug 2017, Wuppertal, Germany |
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Challenges d'analyse de données : une formation par la pratique transversale et multidisciplinaire en science des donnéesCFIES2017 - Colloque Francophone International sur l’Enseignement de la Statistique, Sep 2017, Grenoble, France |
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Characterization of mango tree patchiness using a tree-segmentation/clustering approach2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA 2016), Nov 2016, Qingdao, China. pp.68-74, ⟨10.1109/FSPMA.2016.7818290⟩ |
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Analyse de séquences oculométriques et d'électroencéphalogrammes par modèles markoviens cachésSFdS 2016 - 48èmes Journées de la Statistique, May 2016, Montpellier, France |
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Impact of long term water deficit on production and flowering occurrence in the ‘Granny Smith’ apple tree cultivar11. Symposium on Integrating Canopy, Rootstockand Environmental Physiology in Orchard Systems, Aug 2016, Bologna, Italy |
Impact of Long Term Water Deficit on Production and Flowering Occurrence in the 'Granny Smith' Apple Tree Cultivar11. International Symposium on Integrating Canopy, Rootstock and Environmental Physiology in Orchard Systems, Prof. Dr. Luca Corelli-Grappadelli, Department of Agricultural Sciences, Università di Bologna, Aug 2016, Bologna, Italy |
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Détection de motifs disruptifs au sein de plantes : une approche de quotientement/classification d'arborescences47èmes Journées de Statistique, Société Française de Statistique, Jun 2015, Lille, France |
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Quantification de l'incertitude sur la structure latente dans des modèles de Markov cachés46èmes Journées de Statistique, Société Française de Statistique (SFdS). FRA., Jun 2014, Rennes, France |
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Quantifying and localizing state uncertainty in hidden Markov models using conditional entropy profilesCOMPSTAT 2014 - 21st International Conference on Computational Statistics, The International Association for Statistical Computing (IASC), Aug 2014, Genève, Switzerland. pp.213-221 |
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Modèles graphiques paramétriques pour la modélisation des lois de génération dans des processus de branchement multitypes46èmes Journées de Statistique, Jun 2014, Rennes, France. 6 p |
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Estimation of Discrete Partially Directed Acyclic Graphical Models in Multitype Branching ProcessesCOMPSTAT 2014, 21. International Conference on Computational Statistics, The International Association for Statistical Computing (IASC), Aug 2014, Genève, Switzerland. pp.561-568 |
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Estimating the genetic value of F1 apple progenies for irregular bearing during first years of productionFSPM2013 - 7th International Workshop on Functional-Structural Plant Models, Jun 2013, Saariselkä, Finland. pp.13-15 |
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Deciphering mango tree asynchronisms using Markov tree and probabilistic graphical modelsFSPM2013 - 7th International Workshop on Functional-Structural Plant Models, Jun 2013, Saariselkä, Finland. pp.210-212 |
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Parametric Modelling of Multivariate Count Data Using Probabilistic Graphical ModelsAIGM13 - 3rd Workshop on Algorithmic issues for Inference in Graphical Models, Sep 2013, Paris, France |
Approche graphique pour la modélisation statistique de la dépendance entre activités journalièresWorkshop "Statistique, Transport et Activités", Nov 2013, Grenoble, France |
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Reconstructing Plant Architecture from 3D Laser scanner data6th International Workshop on Functional-Structural Plant Models, Sep 2010, Davis, United States. pp.12--17 |
A statistical model for optimizing power consumption of printersXIG R & T Conference, Xerox Corporation, May 2008, Webster, United States |
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A Statistical Model for Optimizing Power Consumption of Printers40èmes Journées de Statistique, Congrès conjoint de la Société Statistique du Canada et de la Société Française de Statistique, May 2008, Ottawa, Canada. pp.227 |
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Exploring morphogenetical gradients plasticity using hidden Markov tree models in young individuals of the tropical specie Symphonia globulifera (Clusiaceae)FSPM07 - 5th International Workshop on Functional-Structural Plant Models, Nov 2007, Napier, New Zealand. pp.P19:1-1 |
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Calcul de probabilités et estimation dans des modèles de Markov cachés graphiques39èmes Journées de Statistique, Société Française de Statistique, Jun 2007, Angers, France |
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OpenAlea: An open-source platform for the integration of heterogeneous FSPM componentsFSPM07 - 5th International Workshop on Functional-Structural Plant Models, Nov 2007, Napier, New Zealand. pp.P36:1-2 |
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Segmentation-based approaches for characterising plant architecture and assessing its plasticity at different scalesFSPM07 - 5th International Workshop on Functional-Structural Plant Models, Nov 2007, Napier, New Zealand. pp.39:1-3 |
OpenAlea : a platform for plant modelling, analysis and simulationPython Conference Europython, 2006, Genève, Switzerland. 16 p |
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Analysis of the plant architecture via tree-structured statistical models: the hidden Markov tree models4th International workshop on functional-structural plant models (FSPM), Jun 2004, Montpellier, France. pp.813-825, ⟨10.1111/j.1469-8137.2005.01405.x⟩ |
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Arbres de Markov cachés : inférence et applicationsProceedings of XXXVI èmes Journées de Statistique, May 2004, Montpellier, France |
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Genome-wide association study of irregular bearing in an apple core collection12. Rosaceae Genomics Conference (RGC 12), May 2025, Sant Feliu de Guíxols, Spain |
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Lossy compression of unordered rooted treesDCC 2016 - Data Compression Conference, Mar 2016, Snowbird, United States. ⟨10.1109/DCC.2016.73⟩ |
Data ScienceEyrolles, 2018, 9782212674101 |
Review of HSMM R and Python softwaresPeyrard Nathalie (ed.); De Saporta Benoîte (ed.). A comprehensive guide to HSMM: Theory, software, and advanced extensions, ISTE; John Wiley, pp.47-77, 2026, Mathematics and Statistics Series / ISTE, 978-1-394-42758-1. ⟨10.1002/9781394427581.ch2⟩ |
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Monochain HSMMPeyrard Nathalie (ed.); De Saporta Benoîte (ed.). A comprehensive guide to HSMM: Theory, software, and advanced extensions, ISTE; John Wiley, pp.1-46, 2026, Mathematics and Statistics Series / ISTE, 978-1-394-42758-1. ⟨10.1002/9781394427581.ch1⟩ |
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Multichain HSMMNathalie Peyrard (ed.); Benoîte De Saporta (ed.). A comprehensive guide to HSMM: Theory, software, and advanced extensions, ISTE; John Wiley, pp.77-116, 2026, Mathematics and Statistics Series / ISTE, 9781394427581. ⟨10.1002/9781394427581.ch4⟩ |
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Multichain HMMPeyrard Nathalie (ed.); De Saporta Benoîte (ed.). A comprehensive guide to HSMM: Theory, software, and advanced extensions, ISTE; John Wiley, pp.79-116, 2025, 978-1-394-42758-1. ⟨10.1002/9781394427581.ch3⟩ |
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Modèles génératifsData Science. Cours et exercices, Eyrolles, 2018, 978-2-212-67410-1 |
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Semi-parametric Markov Tree for cell lineage analysis2016 |
Multinomial distributions for the parametric modeling of multivariate count data2016 |
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Localizing the Latent Structure Canonical Uncertainty: Entropy Profiles for Hidden Markov Models[Research Report] RR-7896, Inria. 2012, pp.43 |
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Selecting Hidden Markov Chain States Number with Cross-Validated Likelihood[Research Report] RR-5877, INRIA. 2006 |
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Analyse de courbes de consommation électrique par chaines de Markov cachées[Rapport de recherche] RR-4858, INRIA. 2003 |
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Software Reliability Modelling and Prediction with Hidden Markov Chain[Research Report] RR-4747, INRIA. 2003 |
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Statistical Inference for Hidden Markov Tree Models and Application to Wavelet Trees[Research Report] RR-4248, INRIA. 2001 |
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Modèles à structure cachée : inférence, estimation, sélection de modèles et applicationsMathématiques [math]. Université Joseph-Fourier - Grenoble I, 2003. Français. ⟨NNT : ⟩ |