Parcourir par Mots clés libres

Epidemic intelligence in Europe: A user needs perspective to foster innovation in digital health surveillance. Bouyer Fanny, Thiongane Oumy, Hobeika Alexandre, Arsevska Elena, Binot Aurélie, Corrèges Déborah, Dub Timothée, Mäkelä Henna, Van Kleef Esther, Jori Ferran, Lancelot Renaud, Mercier Alizé, Fagandini Ruiz Francesca, Valentin Sarah, Van Bortel Wim, Ruault Claire. 2024. BMC Public Health, 24:973, 20 p.

Synergizing digital, biological, and participatory sciences for global plant species identification: Enabling access to a worldwide identification service. Bonnet Pierre, Affouard Antoine, Lombardo Jean-Christophe, Chouet Mathias, Gresse Hugo, Hequet Vanessa, Palard Rémi, Fromholtz Maxime, Espitalier Vincent, Goeau Hervé, Deneu Benjamin, Botella Christophe, Estopinan Joaquim, Leblanc César, Servajean Maximilien, Munoz François, Joly Alexis. 2023. Biodiversity Information Science and Standards, 7:e112545, 3 p.

Monitoring complex integrated crop–livestock systems at regional scale in Brazil: A big earth Observation data approach. Kuchler Calvano Patrick, Simoes Margareth, Ferraz Rodrigo P.D., Arvor Damien, Oliveira de Almeida Machado Pedro Luiz, Rosa Marcos R., Gaetano Raffaele, Bégué Agnès. 2022. Remote Sensing, 14 (7), n.spéc. Advanced Machine Learning and Remote Sensing in Agriculture:1648, 21 p.

Dealing with large volumes of complex relational data using RCA. Braud Agnès, Dolques Xavier, Gutierrez Alain, Huchard Marianne, Keip Priscilla, Le Ber Florence, Martin Pierre, Nica Cristina, Silvie Pierre. 2021. In : Complex data analytics with formal concept analysis. Missaoui Rokia (ed.), Kwuida Léonard (ed.), Abdessalem Talel (ed.). Cham : Springer, 105-134. ISBN 978-3-030-93277-0

sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots. Sabatini Francesco Maria, Lenoir Jonathan, Hattab Tarek, Arnst Elise Aimee, Chytrý Milan, Dengler Jürgen, De Ruffray Patrice, Hennekens Stephan M., Jandt Ute, Jansen Florian, Jiménez‐Alfaro Borja, Kattge Jens, Levesley Aurora, Pillar Valério D., Purschke Olivier, Sandel Brody, Sultana Fahmida, Aavik Tsipe, Aćić Svetlana, Acosta Alicia T.R., Agrillo Emiliano, Alvarez Miguel, Apostolova Iva, Arfin Khan Mohammed A. S., Arroyo Luzmila, Attorre Fabio, Aubin Isabelle, Banerjee Arindam, Bauters Marijn, Bergeron Yves, Bergmeier Erwin, Biurrun Idoia, Bjorkman Anne D., Bonari Gianmaria, Bondareva Viktoria, Brunet Jörg, Carni Andraz, Casella Laura, Cayuela Luis, Cerný Tomás, Chepinoga Victor, Csiky János, Ćušterevska Renata, De Bie Els, De Gasper André Luis, De Sanctis Michele, Dimopoulos Panayotis, Dolezal Jiri, Dziuba Tetiana, El‐Sheikh Mohamed Abd El‐Rouf Mousa, Enquist Brian, Ewald Jörg, Fazayeli Farideh, Field Richard, Finckh Manfred, Gachet Sophie, Galán‐de‐Mera Antonio, Garbolino Emmanuel, Gholizadeh Hamid, Giorgis Melisa, Golub Valentin, Alsos Inger Greve, Grytnes John-Arvid, Guerin Gregory Richard, Gutiérrez Alvaro G., Haider Sylvia, Hatim Mohamed Z., Herault Bruno, et al.. 2021. Global Ecology and Biogeography, 30 (9) : 1740-1764.

AI naturalists might hold the key to unlocking biodiversity data in social media imagery. August Tom A., Pescott Oliver L., Joly Alexis, Bonnet Pierre. 2020. Patterns, 1 (7):100116, 11 p.

Fouille de textes et ses applications au domaine de l'agriculture. Roche Mathieu. 2020. Montpellier : CIRAD-ES-UMR TETIS, Diaporama, 4 diaporamas (220 vues)

The ontologies community of practice: A CGIAR initiative for big data in agrifood systems. Arnaud Elizabeth, Laporte Marie-Angélique, Kim Soonho, Aubert Céline, Leonelli Sabina, Cooper Laurel, Jaiswal Pankaj, Kruseman Gideon, Shrestha Rosemary, Buttigieg Pier Luigi, Mungall Christopher J., Pietragalla Julian, Agbona Afolabi, Muliro Jacqueline, Detras Jeffrey, Hualla Vilma, Rathore Abhishek, Das Roma, Dieng Ibnou, Bauchet Guillaume, Menda Naama, Pommier Cyril, Shaw Felix, Lyon David A., Mwanzia Leroy, Juarez Henry, Bonaiuti Enrico, Chiputwa Brian, Obileye Olatunbosun, Auzoux Sandrine, Dzalé Yeumo Esther, Mueller Lukas, Silverstein Kevin, Lafargue Alexandra, Antezana Erick, Devare Medha, King Brian. 2020. Patterns, 1 (7):100105, 13 p.

AgriNumA'2019. Résumés des communications. Bonnet Pascal (ed.), Roche Mathieu (ed.), Kirchner Hélène (ed.). 2019. Dakar : CIRAD-INRIA, 23 p. AgriNumA 2019 : Symposium “Agriculture Numérique en Afrique”, Dakar, Sénégal, 28 Avril 2019/30 Avril 2019.

Éviter une valorisation technologique et économique asymétrique des big data. Bonnet Pascal, Faye Emile, Roche Mathieu. 2019. Wageningen : CTA, 2 p.

Distributed management of scientific workflows for high-throughput plant phenotyping. Pradal Christophe, Cohen-Boulakia Sarah, Heidsieck Gaëtan, Pacitti Esther, Tardieu François, Valduriez Patrick. 2018. ERCIM News (113), n.spéc. Smart Farming : 36-37.

Heterogeneous Text Mining. Roche Mathieu. 2018. Montpellier : CIRAD-ES-UMR TETIS, 4 diaporamas ( vues)

How to deal with heterogeneous data? Roche Mathieu. 2015. In : Proceedings of the 2nd Annual International Symposium on Information Management and Big Data - SIMBig 2015. Lossio-Ventura Juan Antonio (ed.), Alatrista-Salas Hugo (ed.). s.l. : CEUR-WS, 19-20. (CEUR Workshop Proceedings, 1478) Annual International Symposium on Information Management and Big Data. 2, Cusco, Pérou, 2 Septembre 2015/4 Septembre 2015.