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

Alice Othmani, Fakhri Torkhani, Jean-Marie Favreau - Feb. 7, 2020
3D Geometric salient patterns analysis on 3D meshes


Sébastien Salva, Elliott Blot - Jan. 2, 2020
Model generation of component-based systems
Software Quality Journal

Michael Mbouopda, Engelbert Mephu Nguifo - Dec. 10, 2019
Classification des Séries Temporelles Incertaines par Transformation Shapelet


J. Braga, Chafik Samir, L. Risser, J. Dumoncel, D. Descouens, J. Thackeray, P. Balaresque, A. Oettlé, J.-M. Loubes, A. Fradi - Dec. 1, 2019
Cochlear shape reveals that the human organ of hearing is sex-typed from birth
Scientific Reports

Radu Ciucanu, Pascal Lafourcade, Marius Lombard-Platet, Marta Soare - Nov. 26, 2019
Secure Best Arm Identification in Multi-Armed Bandits
ISPEC 2019 : The 15th International Conference on Information Security Practice and Experience

Gauthier Fillières-Riveau, Vincent Barra, Jean-Marie Favreau, Guillaume Touya - Nov. 13, 2019
Enrichissement d'orthophotographie par des données OpenStreetMap pour l'apprentissage machine
SAGEO

Vincent Barra, Veronique Delouille - Sept. 16, 2019
Image-to-image translation model to generate magnetogram out of EUV images
Machine Learning in Heliophysics

Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Nguifo - Sept. 4, 2019
A Structure Based Multiple Instance Learning Approach for Bacterial Ionizing Radiation Resistance Prediction
KES 2019 - 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems

Chafik Samir, Ines Adouani - Aug. 28, 2019
Bézier curves and C2 interpolation in Riemannian Symmetric Spaces
4th International Conference on Geometric Science of Information

Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Maddouri Mondher, Engelbert Nguifo - Aug. 18, 2019
A Distributed Algorithm for Large-Scale Graph Clustering


All publications are here