Aishwarya Venkataramanan, Pierre Faure-Giovagnoli, Cyril Regan, David Heudre, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier, Martin Laviale, Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach, Engineering Applications of Artificial Intelligence, Volume 117 Part B, January 2023, 105594, https://doi.org/10.1016/j.engappai.2022.105594.
Eric C. Orenstein, Sakina-Dorothée Ayata, Frédéric Maps, Érica C. Becker, Fabio Benedetti, Tristan Biard, Thibault de Garidel-Thoron, Jeffrey S. Ellen, Filippo Ferrario, Sarah L. C. Giering, Tamar Guy-Haim, Laura Hoebeke, Morten Hvitfeldt Iversen, Thomas Kiørboe, Jean-François Lalonde, Arancha Lana, Martin Laviale, Fabien Lombard, Tom Lorimer, Séverine Martini, Albin Meyer, Klas Ove Möller, Barbara Niehoff, Mark D. Ohman, Cédric Pradalier, Jean-Baptiste Romagnan, Simon-Martin Schröder, Virginie Sonnet, Heidi M. Sosik, Lars S. Stemmann, Michiel Stock, Tuba Terbiyik-Kurt, Nerea Valcárcel-Pérez, Laure Vilgrain, Guillaume Wacquet, Anya M. Waite, Jean-Olivier Irisson (2022). Machine learning techniques to characterize functional traits of plankton from image data. Limnology and Oceanography. https://doi.org/10.1002/lno.12101
Richard, A., Aravecchia, S., Schillaci, T., Geist, M., & Pradalier, C. (2021). How To Train Your HERON. IEEE Robotics and Automation Letters, 6(3), 5247-5252.
Alberto Pretto, Stephanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Veronika Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cedric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan Nieto.Building an aerial-ground robotics system for precision farming: An adaptable solution. IEEE Robotics & Automation Magazine, 2020.
Griffith, Shane; Chahine, Georges; Pradalier, Cédric; Symphonie Lake Dataset, International Journal of Robotic Research, 2017 (see at the end of this page for the the link to the datasets).
Wu X., Vela P., Pradalier C. Robust Monocular Edge Visual Odometry through Coarse-to-Fine Data Association. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
Richard A., Fine L., Rozenstein O., Tanny J., Geist M., and Pradalier C., Filling Gaps in Micro-Meteorological Data, European Conference on Machine Learning, Ghent, Belgium, September 2020.
Bellanger X., Pradalier C., Guilloteau H., Roman V., Merlin C. Identification d’antibiotiques stimulant la dissémination de gènes d’antibiorésistance en concentrations sub-inhibitrices et conséquences au niveau environnemental. IXe Colloque de l’Association Francophone d’Ecologie Microbienne – Bussang (France), 5-8 Novembre 2019.
Bellanger X., Pradalier C., Guilloteau H., Roman V., Merlin C. When antibiotics stimulate the spread of resistance genes: small doses and dramatic effects. 15e congrès national de la Société Française de Microbiologie (SFM). Paris (France), 30 Septembre – 2 Octobre 2019 (Invited conference).
Bellanger X., Pradalier C., Guilloteau H., de la Cruz Barrón M., Roman V., Merlin C. Identifying antibiotics triggering the dissemination of resistance genes at low concentrations. Xenowac II • 10-12 October 2018 • Limassol, Cyprus.
Pradalier C., Griffith S. Long–term monitoring of a natural environment using an automated data-acquisition system. ILTER Network, Zones Ateliers and Critical Zone Observatory Networks, 2-4 October 2017, Nantes.
Pradalier C., Chahine G. Long-term quantitative river shore monitoring using a portable imaging suite. ILTER Network, Zones Ateliers and Critical Zone Observatory Networks, 2-4 October 2017, Nantes.
Pradalier C., Robin V. Automated quantification of charcoal-particle content in peat samples for paleo-ecological studies. ILTER Network, Zones Ateliers and Critical Zone Observatory Networks, 2-4 October 2017, Nantes.
H. Scornec, H. Guilloteau, G. Groshenry, C. Pradalier, X. Bellanger, C. Merlin: Exploring the effect of antibiotics at sub-MIC level on the activity of mobile genetic elements, 4th International Symposium on the Environmental Dimension of Antibiotic Resistance, Lansing, Michigan (United States), August 2017
H. Scornec, H. Guilloteau, G. Groshenry, C. Pradalier, X. Bellanger, C. Merlin: When sub-inhibitory concentrations of antibiotics promote the dissemination of unselected resistance genes, 7th Congress of European Microbiologist (FEMS), Valencia (SP), July 2017
2016
H. Scornec, H. Guilloteau, G. Groshenry, C. Pradalier, X. Bellanger, C. Merlin: Exploring the effect of antibiotics at sub-inhibitory concentrations on the activity of promoters involved in the mobility of mobile genetic elements, Plasmid Biology, Cambridge (UK), October 2016
Alec Jacobson, Daniele Panozzo, Oliver Glauser, Cédric Pradalier, Otmar Hilliges, Olga Sorkine-Hornung: Tangible and Modular Input Device for Character Articulation, 41st conference on computer graphics and interactive techniques (SIGGRAPH), Vancouver, August 2014.
Shane Griffith, Paul Drews, and Cédric Pradalier: Towards Autonomous Lakeshore Monitoring, International Symposium on Experimental Robotics (ISER), Marakesh, June 2014
The documents listed below have not been submitted to any conference. They are made available to either document our own software or report on our experience with the software.
Olivier Deiss, Cédric Pradalier: Hadoop for Roboticists: an introduction and evaluation for robotic applications (Special Problem Report), Fall 2016, hal-01435882
Sylvain Chatel, Cédric Pradalier: Mesh Networks for robotic teleoperation: State of the Art and Implementation for Robotics (Special Problem Report), Fall 2016, hal-01435881.
Shane Griffith, Georges Chahine, Cédric Pradalier: The Symphony Lake Dataset: a 3-year spatio-temporal survey of a 1km lake shore using an autonomous surface vessel.