2 citations · 3 across the 4 of their papers we have counts for
7 papers
Deep Neural Network for DrawiNg Networks, (DNN)^2
Loann Giovannangeli, Frederic Lalanne, David Auber +2
By leveraging recent progress of stochastic gradient descent methods, several works have shown that graphs could be efficiently laid out through the optimization of a tailored obje…
Impacts of the Numbers of Colors and Shapes on Outlier Detection: from Automated to User Evaluation
Loann Giovannangeli, Romain Giot, David Auber +1
The design of efficient representations is well established as a fruitful way to explore and analyze complex or large data. In these representations, data are encoded with various…
Toward automatic comparison of visualization techniques: Application to graph visualization
L. Giovannangeli, R. Bourqui, R. Giot +1
Many end-user evaluations of data visualization techniques have been run during the last decades. Their results are cornerstones to build efficient visualization systems. However,…
CNNs Fusion for Building Detection in Aerial Images for the Building Detection Challenge
Rémi Delassus, Romain Giot
This paper presents our contribution to the DeepGlobe Building Detection Challenge. We enhanced the SpaceNet Challenge winning solution by proposing a new fusion strategy based on…
Web-Based Benchmark for Keystroke Dynamics Biometric Systems: A Statistical Analysis
Romain Giot, Mohamad El-Abed, Christophe Rosenberger
Most keystroke dynamics studies have been evaluated using a specific kind of dataset in which users type an imposed login and password. Moreover, these studies are optimistics sinc…
Hybrid Template Update System for Unimodal Biometric Systems
Romain Giot, Christophe Rosenberger, Bernadette Dorizzi
Semi-supervised template update systems allow to automatically take into account the intra-class variability of the biometric data over time. Such systems can be inefficient by inc…