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

315 citations

Showing 2023Show all

6 papers · 1 filter

eess.SP2023

On the Semi-Blind Mutually Referenced Equalizers for MIMO Systems

Do Hai Son, Karim Abed-Meraim, Tran Trong Duy +2

Minimizing training overhead in channel estimation is a crucial challenge in wireless communication systems. This paper presents an extension of the traditional blind algorithm, ca…

math.FA2023

Hoeffding decomposition of black-box models with dependent inputs

Marouane Il Idrissi, Nicolas Bousquet, Fabrice Gamboa +2

Performing an additive decomposition of arbitrary functions of random elements is paramount for global sensitivity analysis and, therefore, the interpretation of black-box models.…

stat.ME2023

A comparison between Bayesian and ordinary kriging based on validation criteria: application to radiological characterisation

Martin Wieskotten, Marielle Crozet, Bertrand Iooss +2

In decommissioning projects of nuclear facilities, the radiological characterisation step aims to estimate the quantity and spatial distribution of different radionuclides. To carr…

eess.IV2023★ 17 cited

Transformer with Selective Shuffled Position Embedding and Key-Patch Exchange Strategy for Early Detection of Knee Osteoarthritis

Zhe Wang, Aladine Chetouani, Mohamed Jarraya +2

Knee OsteoArthritis (KOA) is a widespread musculoskeletal disorder that can severely impact the mobility of older individuals. Insufficient medical data presents a significant obst…

cs.MM2023★ 57 cited

BASICS: Broad quality Assessment of Static point clouds In Compression Scenarios

Ali Ak, Emin Zerman, Maurice Quach +4

Point clouds have become increasingly prevalent in representing 3D scenes within virtual environments, alongside 3D meshes. Their ease of capture has facilitated a wide array of ap…

math.ST2023

On the coalitional decomposition of parameters of interest

Marouane Il Idrissi, Nicolas Bousquet, Fabrice Gamboa +2

Understanding the behavior of a black-box model with probabilistic inputs can be based on the decomposition of a parameter of interest (e.g., its variance) into contributions attri…