Zobrazeno 1 - 10
of 71
pro vyhledávání: '"le Borgne"'
Publikováno v:
ICPR
2020 25th International Conference on Pattern Recognition (ICPR)
2020 25th International Conference on Pattern Recognition (ICPR)
Among the wide variety of image generative models, two models stand out: Variational Auto Encoders (VAE) and Generative Adversarial Networks (GAN). GANs can produce realistic images, but they suffer from mode collapse and do not provide simple ways t
Publikováno v:
DSAA
Short-term traffic prediction in transportation net-work is a hot topic for next generation smart cities. Despite several research efforts, there is still a lack of consensus about the most effective way to predict traffic network-wide. Also, the maj
Autor:
Fabien Le Borgne, Kilian Donnart, Julien Haumant, Gwendal Cochet, Daouda Lamine Diedhiou, Alexandre Manchec
Publikováno v:
2019 49th European Microwave Conference (EuMC).
This paper presents the integration of several Front-End functions in a single monolithic device using 3D printing. A front-end consisting of a 2x2 horn antennas array and a Ku-band diplexer was printed in a single piece by stereo-lithography. The de
Publikováno v:
Cloudtech
This paper proposes and assesses a Big Data Platform for effective storage and analysis of On Board Unit (OBU) data related to the mobility of trucks in Belgium. The large volume and the streaming nature of the OBU data requires the setup of a big da
Publikováno v:
ITSC
Freight mobility significantly contributes to urban traffic congestion and atmospheric pollutants emission in European capitals [4], [10]. Understanding better the spatio-temporal dynamics of goods transportation could not only improve the freight sy
Autor:
Tamaazousti, Youssef1 ytamaaz@mit.edu, Le Borgne, Herve2 herve.le-borgne@cea.fr, Hudelot, Celine3 celine.hudelot@centralesupelec.fr, Seddik, Mohamed-El-Amine2 mohamedelamine.seddik@cea.fr, Tamaazousti, Mohamed2 mohamed.tamaazousti@cea.fr
Publikováno v:
IEEE Transactions on Pattern Analysis & Machine Intelligence. Sep2020, Vol. 42 Issue 9, p2212-2224. 13p.
Publikováno v:
DSAA
Credit card fraud detection raises unique challenges due to the streaming, imbalanced, and non-stationary nature of transaction data. It additionally includes an active learning step, since the labeling (fraud or genuine) of a subset of transactions
Publikováno v:
ICCV Workshops
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Oct 2017, Venice, Italy. pp.280-288, ⟨10.1109/ICCVW.2017.42⟩
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Oct 2017, Venice, Italy. pp.280-288, ⟨10.1109/ICCVW.2017.42⟩
Conference of 16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017 ; Conference Date: 22 October 2017 Through 29 October 2017; Conference Code:134301; International audience; When textual annotations of Web and social media ima
Publikováno v:
DSAA
Most multivariate forecasting methods in the literature are restricted to vector time series of low dimension, linear methods and short horizons. Big data revolution is instead shifting the focus to problems (e.g. issued from the IoT technology) char
Publikováno v:
UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld
Requirements engineering is a most critical activity in the engineering process of complex cyber-physical systems. To avoid the ambiguity of natural or semi-formal languages, to provide tool support for engineering activities all along a system lifec