Theme Data, Services, Intelligence
Presentation
The works of the team 'Data, Services, Intelligence' of the laboratory LIMOS, aim at solving a problem given thanks to the searches in the stream of data and in the already made studies.
His purpose is to set up tools algorithmics to characterize groups and help companies clarify their data to solve a problem.
The developed tools also allow for example to manage the immense stream that is the sequencing DNA through the elaboration of systems managing and sorting out this stream
Analysis, Verification, Testing of applications, web services and business processes.
Our reserach work deals with the analysis of services, applications or business processes for optimising them, make them reliable or secure. The applications are described by means of onthologies or with models (formals or UML). Generally speaking, these models are used for optimising a given property, for checking whether a property holds or for generating test suites.
Last publications
Scalable and Accurate Subsequence Transform
Vincent Barra, Antoine Cornuéjols, Laurent Miclet - March 22, 2021
Apprentissage artificiel - 4e édition: De Bayes et Hume au Deep Learning. Concepts et algorithmes.
Victor Bellot, Maxime Cautrès, Jean-Marie Favreau, Milan Gonzalez-Thauvin, Pascal Lafourcade, Kergann Le Cornec, Bastien Mosnier, Samuel Rivière-Wekstein - March 15, 2021
How to Generate Perfect Mazes?
Information Sciences
Vincent Barra - March 1, 2021
Les mathématiques de l'imagerie.
Bibliothèque Tangente
David Tschumperlé, Christophe Tilmant, Vincent Barra - Feb. 25, 2021
Le traitement numérique des images en C++ - Implémentation d’algorithmes avec la bibliothèque CImg.
A. Fradi, Y. Feunteunp, Chafik Samir, M. Baklouti, François Bachoc, Jean-Michel Loubes - Feb. 16, 2021
Bayesian Regression and Classification Using Gaussian Process Priors Indexed by Probability Density Functions
Information Sciences
Vincent Barra - Feb. 1, 2021
Segmentation d'images
Bibliothèque Tangente
Chafik Samir, Wen Huang - Jan. 1, 2021
Coordinate descent optimization for one-to-one correspondence and supervised classification of 3D shapes
Applied Mathematics and Computation
Nicolas Wagner, Marie-Madeleine Mialon, Karen Helle Sloth, Romain Lardy, Dorothée Ledoux, Mathieu Silberberg, Alice de Boyer Des Roches, Isabelle Veissier - Jan. 1, 2021
Detection of changes in the circadian rhythm of cattle in relation to disease, stress, and reproductive events
Methods
van Thu Nguyen, Philippe Riviere, Pierre Ripoll, Julien Barnier, Romain Vuillemot, Sarah Cohen-Boulakia, Philippe Ravaud, Isabelle Boutron, Covid Nma Consortium, Solaf Alawadhi, Sihem Amer-Yahia, Camila Ávila, Aïda Bafeta, Julia Baudry, Claudia Bollig, Hillary Bonnet, Marinette Bouet, Guillaume Cabanac, Anna Chaimani, David Chavalarias, Yaolong Chen, Astrid Chevance, Sarah Cohen-Boulakia, Emmanuel Coquery, Françoise Conil, Mauricia Davidson, Laura de Nale, Declan Devane, Elise Diard, Bastien Doreau, Theodoros Evrenoglou, Alice Fabri, Gilles Feron, Gabriel Ferrand, Leopold Fezeu, Mathilde Fouet, Lina Ghosn El Chall, Carolina Graña, Giacomo Grasselli, François Grolleau, Mohand-Said Hacid, Loubna Haddy, Camilla Hansen, Ameer Hohlfeld, Asbjørn Hróbjartsson, Chantal Julia, Dimitris Mavridis, Joerg Meerpohl, Brice Meyer, Nivantha Naidoo, Theodora Oikonomidi, Elizabeth Pienaar, Fiona Quirke, Gabriel Rada, Carolina Riveros, Marie Sauvant, Christine Schmucker, Farouk Toumani, David Tovey, Jun Xia, Xuan Yu, Emina Zoletic, Pierre Zweigenbaum - Jan. 1, 2021
Research response to coronavirus disease 2019 needed better coordination and collaboration: a living mapping of registered trials
Journal of Clinical Epidemiology
All publications are here