| Learning common structures in a collection of networks. an application to food webs SC Chabert-Liddell, P Barbillon, S Donnet The Annals of Applied Statistics 18 (2), 1213-1235, 2024 | 4 | 2024 |
| Maize(Zea maysL.) interaction with the arbuscular mycorrhizal fungusRhizophagus irregularisallows mitigation of nitrogen deficiency stress: physiological and … B Decouard, NB Chowdhury, A Saou, M Rigault, I Quilleré, T Sapir, ... | | 2024 |
| Screening the Discrepancy Function of a Computer Model P Barbillon, A Forte, R Paulo Technometrics, 1-21, 2024 | | 2024 |
| Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks E Anakok, P Barbillon, C Fontaine, E Thebault arXiv preprint arXiv:2403.02011, 2024 | | 2024 |
| Efficient Bayesian automatic calibration of a functional–structural wheat model using an adaptive design and a metamodelling approach E Blanc, J Enjalbert, T Flutre, P Barbillon Journal of Experimental Botany 74 (21), 6722-6734, 2023 | 1 | 2023 |
| Unlocking the Mycorrhizal Nitrogen Pathway Puzzle: Metabolic Modelling and multi-omics unveil Pyrimidines’ Role in Maize Nutrition via Arbuscular Mycorrhizal Fungi Amidst … B Decouard, NB Chowdhury, A Saou, M Rigault, I Quillere, T Sapir, ... bioRxiv, 2023.10. 13.562190, 2023 | | 2023 |
| Pipecolate and taurine, rat urinary biomarkers for lysine and threonine deficiency D Azzout-Marniche, J Moro, G Roisné-Hamelin, N Khodorova, ... International Symposium on «Dietary Protein for Human Health», 2023 | | 2023 |
| Pipecolate and taurine are rat urinary biomarkers for lysine and threonine deficiencies J Moro, G Roisné-Hamelin, N Khodorova, DN Rutledge, JC Martin, ... The Journal of Nutrition 153 (9), 2571-2584, 2023 | | 2023 |
| Sensitivity analysis of a crop metapopulation model B Rouger, I Goldringer, P Barbillon, A Miramon, AKN Jika, M Thomas Ecological Modelling 475, 110174, 2023 | | 2023 |
| Disentangling the structure of ecological bipartite networks from observation processes E Anakok, P Barbillon, C Fontaine, E Thebault arXiv preprint arXiv:2211.16364, 2022 | | 2022 |
| Validation of a computer code for the energy consumption of a building, with application to optimal electric bill pricing M Keller, G Damblin, A Pasanisi, M Schumann, P Barbillon, F Ruggeri, ... Econometrics 10 (4), 34, 2022 | | 2022 |
| Modèles à blocs latents pour la détection de structures dans les réseaux écologiques J AUBERT, P BARBILLON, S DONNET, V MIELE Approches statistiques pour les variables cachées en écologie, 131, 2022 | | 2022 |
| Characterizing the calibration domain of remote sensing models using convex hulls JP Renaud, A Sagar, P Barbillon, O Bouriaud, C Deleuze, C Véga International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 1 | 2022 |
| Block models for generalized multipartite networks: Applications in ecology and ethnobiology A Bar-Hen, P Barbillon, S Donnet Statistical modelling 22 (4), 273-296, 2022 | 24* | 2022 |
| Using Latent Block Models to Detect Structure in Ecological Networks J Aubert, P Barbillon, S Donnet, V Miele Statistical Approaches for Hidden Variables in Ecology, 117-134, 2022 | 1 | 2022 |
| Impact of the mesoscale structure of a bipartite ecological interaction network on its robustness through a probabilistic modeling SC Chabert‐Liddell, P Barbillon, S Donnet Environmetrics 33 (2), e2709, 2022 | 7 | 2022 |
| Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers...................................................... Xinran Li, Dingdong Yi and Jun S. Liu 1 The … M Oesting, K Strokorb, P Barbillon, A Fadikar, RB Gramacy, R Herbei, ... Statistical Science [ISSN 0883-4237 (print); ISSN 2168-8745 (online)] 37 (1), 2022 | | 2022 |
| Analyzing stochastic computer models: A review with opportunities E Baker, P Barbillon, A Fadikar, RB Gramacy, R Herbei, D Higdon, ... Statistical Science 37 (1), 64-89, 2022 | 54* | 2022 |
| Observations and Geoinformation JP Renaud, A Sagar, P Barbillon, O Bouriaud, C Deleuze, C Vega International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | | 2022 |
| Convex hull: Another Perspective about Model Predictions and Map Derivatives from Remote Sensing Data JP Renaud, A Sagar, P Barbillon, O Bouriaud, C Deleuze, C Véga # PLACEHOLDER_PARENT_METADATA_VALUE#, 71-73, 2021 | | 2021 |
Avner Bar-HenCNAMVerified email at cnam.fr
