Zobrazeno 1 - 10
of 30
pro vyhledávání: '"BAKKAY, MOHAMED CHAFIK"'
Explainable Artificial Intelligence (XAI) has become increasingly significant for improving the interpretability and trustworthiness of machine learning models. While saliency maps have stolen the show for the last few years in the XAI field, their a
Externí odkaz:
http://arxiv.org/abs/2309.03234
Autor:
Bakkay, Mohamed Chafik, Serrurier, Mathieu, Burda, Valentin Kivachuk, Dupuy, Florian, Cabrera-Gutierrez, Naty Citlali, Zamo, Michael, Mader, Maud-Alix, Mestre, Olivier, Oller, Guillaume, Jouhaud, Jean-Christophe, Terray, Laurent
Precipitation nowcasting is of great importance for weather forecast users, for activities ranging from outdoor activities and sports competitions to airport traffic management. In contrast to long-term precipitation forecasts which are traditionally
Externí odkaz:
http://arxiv.org/abs/2203.13263
Autor:
Dupuy, Florian, Mestre, Olivier, Serrurier, Mathieu, Bakkay, Mohamed Chafik, Burdá, Valentin Kivachuk, Cabrera-Gutiérrez, Naty Citlali, Jouhaud, Jean-Christophe, Mader, Maud-Alix, Oller, Guillaume, Zamo, Michaël
Cloud cover is crucial information for many applications such as planning land observation missions from space. It remains however a challenging variable to forecast, and Numerical Weather Prediction (NWP) models suffer from significant biases, hence
Externí odkaz:
http://arxiv.org/abs/2006.16678
Autor:
Cabrera-Gutiérrez, Naty Citlali, Godé, Hadrien, Jouhaud, Jean-Christophe, Bakkay, Mohamed Chafik, Burdá, Valentin Kivachuk, Dupuy, Florian, Mader, Maud-Alix, Mestre, Olivier, Oller, Guillaume, Serrurier, Mathieu, Zamo, Michaël
Nowcasting (or short-term weather forecasting) is particularly important in the case of extreme events as it helps prevent human losses. Many of our activities, however, also depend on the weather. Therefore, nowcasting has shown to be useful in many
Externí odkaz:
http://arxiv.org/abs/2006.14515
Autor:
Bakkay, Mohamed Chafik, Chambon, Sylvie, Rashwan, Hatem A., Lubat, Christian, Barsotti, Sébastien
This paper aims at developing an automatic algorithm for moth recognition from trap images in real-world conditions. This method uses our previous work for detection [1] and introduces an adapted classification step. More precisely, SVM classifier is
Externí odkaz:
http://arxiv.org/abs/1809.06663
Voxel coloring is a popular method of reconstructing a three-dimensional surface model from a set of calibrated 2D images. However, the reconstruction quality is largely dependent on a thresholding procedure allowing the authors to decide, for each v
Externí odkaz:
http://arxiv.org/abs/1809.06070
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Pattern Recognition Letters 1 July 2015 59:33-40
