output
20082026
most citedVine disease detection in UAV multispectral images with deep learning segmentation approach

315 citations

Showing 2022Show all

8 papers · 1 filter

eess.IV2022★ 11 cited

End-to-end deep multi-score model for No-reference stereoscopic image quality assessment

Oussama Messai, Aladine Chetouani

Deep learning-based quality metrics have recently given significant improvement in Image Quality Assessment (IQA). In the field of stereoscopic vision, information is evenly distri…

math.ST2022★ 1 cited

Proportional marginal effects for global sensitivity analysis

Margot Herin, Marouane Il Idrissi, Vincent Chabridon +1

Performing (variance-based) global sensitivity analysis (GSA) with dependent inputs has recently benefited from cooperative game theory concepts.By using this theory, despite the p…

math.OC2022★ 1 cited

Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models

Marouane Il Idrissi, Nicolas Bousquet, Fabrice Gamboa +2

Robustness studies of black-box models is recognized as a necessary task for numerical models based on structural equations and predictive models learned from data. These studies m…

cs.CV2022★ 19 cited

Fusion of Satellite Images and Weather Data with Transformer Networks for Downy Mildew Disease Detection

William Maillet, Maryam Ouhami, Adel Hafiane

Crop diseases significantly affect the quantity and quality of agricultural production. In a context where the goal of precision agriculture is to minimize or even avoid the use of…

cs.AI2022★ 1 cited

Modelling and Detection of Driver's Fatigue using Ontology

Alexandre Lambert, Manolo Dulva Hina, Celine Barth +2

Road accidents have become the eight leading cause of death all over the world. Lots of these accidents are due to a driver's inattention or lack of focus, due to fatigue. Various…

cs.CV2022★ 7 cited

Generative models-based data labeling for deep networks regression: application to seed maturity estimation from UAV multispectral images

Eric Dericquebourg, Adel Hafiane, Raphael Canals

Monitoring seed maturity is an increasing challenge in agriculture due to climate change and more restrictive practices. Seeds monitoring in the field is essential to optimize the…

cs.NI2022

Dealing with complex routing requirements using an MCDM based approach

Mohamed Redha Bouakouk, Abdelkrim Abdelli, Lynda Mokdad +1

The last decade has witnessed an ever-growing user demand for a better QoS (Quality Of Service) and the fast growth of connected devices still put high pressure on the legacy netwo…

eess.SP2022

New penalized criteria for smooth non-negative tensor factorization with missing entries

Amaury Durand, François Roueff, Jean-Marc Jicquel +1

Tensor factorization models are widely used in many applied fields such as chemometrics, psychometrics, computer vision or communication networks. Real life data collection is ofte…