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1

Characterizing the calibration domain of remote sensing mod..:

Renaud, J.P. ; Sagar, A. ; Barbillon, P....
International Journal of Applied Earth Observation and Geoinformation. 112 (2022) - p. 102939 , 2022

Link: https://doi.org/10.1016/..

2

Modulation des préférences alimentaires induites par le rec..:

Fromentin, S. ; Davidenko, O. ; Barbillon, P....
Nutrition Clinique et Métabolisme. 31 (2017) 3 - p. 224 , 2017

Link: https://doi.org/10.1016/..

3

Les profils de consommation protéique animale et végétale s..:

Tharrey, M. ; Mariotti, F. ; Mashchak, A....
Nutrition Clinique et Métabolisme. 31 (2017) 3 - p. 229-230 , 2017

Link: https://doi.org/10.1016/..

4

P306: Un régime hyperprotéique pendant la gestation est un ..:

Desclée de Maredsous, C. ; Delteil, C. ; Blachier, F....
Nutrition Clinique et Métabolisme. 28 (2014) - p. S231 , 2014

Link: https://doi.org/10.1016/..

5

Determination du diagramme de phases du systéme docosane (n..:

Achour, Z. ; Barbillon, P. ; Bouroukba, M..
Thermochimica Acta. 204 (1992) 1 - p. 187-204 , 1992

Link: https://doi.org/10.1016/..

6

Block model for multipartite networks. Applications in ecol..:

Bar-Hen, Avner ; Barbillon, P ; Donnet, Sophie
hal-01850875. , 2018

Link: https://agroparistech.ha..

7

Block model for multipartite networks. Applications in ecol..:

Bar-Hen, Avner ; Barbillon, P ; Donnet, Sophie
hal-01850875. , 2018

Link: https://agroparistech.ha..

8

Validation of a computer code for the energy consumption of..:

Keller, M ; Damblin, G ; Pasanisi, A...
http://arxiv.org/abs/1810.04195. , 2018

Link: http://arxiv.org/abs/181..

9

Block model for multipartite networks. Applications in ecol..:

Bar-Hen, Avner ; Barbillon, P ; Donnet, Sophie
hal-01850875. , 2018

Link: https://agroparistech.ha..

10

Block model for multipartite networks. Applications in ecol..:

Bar-Hen, Avner ; Barbillon, P ; Donnet, Sophie
hal-01850875. , 2018

Link: https://hal-agroparistec..

11

A network-based method to detect patters of local crop biod..:

Thomas, M ; Verzelen, N ; Barbillon, P...
Thomas, M.; Verzelen, N.; Barbillon, P.; Coomes, O.T.; Caillon, S.; McKey, D.; Elias, M.; Garine, E.; Raimond, C.; Dounias, E.; Jarvis, D.; Wencelius, J.; Leclerc, C.; Labeyrie, V.; Pham Hung Cuong; Nguyen Thi Ngoc Hue; Sthapit, B.; Rana, R.B.; Barnaud, A.; Violon, C.; Arias Reyes, L.M.; Latournerie Moreno, L.; De Santis, P.; Massol, F.(2015) A network-based method to detect patters of local crop biodiversity: validation at the species and infra-species levels. In: Ecosystem Services — From Biodiversity to Society, Part 1. (Woodward, G. et al. (eds.)) Advances in Ecological Research 53 p. 259-320 ISBN: 978-0-12-803885-7. , 2016

Link: https://hdl.handle.net/1..

12

Characterizing the calibration domain of remote sensing mod..:

J.P. Renaud ; A. Sagar ; P. Barbillon...
http://www.sciencedirect.com/science/article/pii/S1569843222001364. , 2022

Link: https://doi.org/10.1016/..

13

2D chemical evolution models: II. Effects of multiple spira..:

Spitoni, E. ; Cescutti, G. ; Recio-Blanco, A....
Astronomy & Astrophysics. 680 (2023) - p. A85 , 2023

Link: https://doi.org/10.1051/..

14

Recent advances in plasmonic nanocavities for single-molecu..:

Maccaferri, Nicolò ; Barbillon, Grégory ; Koya, Alemayehu Nana...
Nanoscale Advances. 3 (2021) 3 - p. 633-642 , 2021

Link: https://doi.org/10.1039/..

15

Investigation of the structure of iron oxide nanoparticle a..:

Dolci, Mathias ; Bryche, Jean-François ; Moreau, Julien...
Applied Surface Science. 527 (2020) - p. 146773 , 2020

Link: https://doi.org/10.1016/..

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