Abdesslam Benzinou
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View article: Copepods Image-Skeleton Pairing with N-Pair Loss
Copepods Image-Skeleton Pairing with N-Pair Loss Open
International audience
View article: Neural Prediction of Lagrangian Drift Trajectories on the Sea Surface
Neural Prediction of Lagrangian Drift Trajectories on the Sea Surface Open
This study proposes a new deep learning approach for the simulation of Lagrangian drift at the sea surface with the objective to overcome the current limitations of the existing model-based and learning-based methods. The proposed framewor…
View article: Meiofauna investigation and taxonomic identification through imaging—a game of compromise
Meiofauna investigation and taxonomic identification through imaging—a game of compromise Open
Imaging methods have developed rapidly in recent decades, opening new opportunities for taxonomy and biodiversity studies of marine organisms. In particular, the microscopic size range, which used to be challenging to study due to time‐con…
View article: Assessment and classification of COVID-19 DNA sequence using pairwise features concatenation from multi-transformer and deep features with machine learning models
Assessment and classification of COVID-19 DNA sequence using pairwise features concatenation from multi-transformer and deep features with machine learning models Open
The 2019 novel coronavirus (renamed SARS-CoV-2, and generally referred to as the COVID-19 virus) has spread to 184 countries with over 1.5 million confirmed cases. Such a major viral outbreak demands early elucidation of taxonomic classifi…
View article: Meiofauna Images Generation Using StyleGAN2: A Case Study of Copepoda
Meiofauna Images Generation Using StyleGAN2: A Case Study of Copepoda Open
In this work, we propose two StyleGAN2 hierarchical transfer learning approaches in order to generate images of animals belonging to the Copepoda group. Copepods are one of the most represented groups of the aquatic environment, yet only f…
View article: Deep Learning for Lagrangian Drift Simulation at The Sea Surface
Deep Learning for Lagrangian Drift Simulation at The Sea Surface Open
We address Lagrangian drift simulation in geophysical dynamics and explore deep learning approaches to overcome known limitations of state-of-the-art model-based and Markovian approaches in terms of computational complexity and error propa…
View article: Fuzzy Model for the Automatic Recognition of Human Dendritic Cells
Fuzzy Model for the Automatic Recognition of Human Dendritic Cells Open
Background and objective: Nowadays, foodborne illness is considered one of the most outgrowing diseases in the world, and studies show that its rate increases sharply each year. Foodborne illness is considered a public health problem which…
View article: An efficient anchor‐free method for pig detection
An efficient anchor‐free method for pig detection Open
Given the rapid growth of commercial pig farms, the need to automatically monitor pig behaviour becomes more important in order to assist farmers. Recent advances in convolutional neural networks may pave the way for new solutions. However…
View article: Deep learning for Lagrangian drift simulation at the sea surface
Deep learning for Lagrangian drift simulation at the sea surface Open
We address Lagrangian drift simulation in geophysical dynamics and explore deep learning approaches to overcome known limitations of state-of-the-art model-based and Markovian approaches in terms of computational complexity and error propa…
View article: Live Fish Species Classification in Underwater Images by Using Convolutional Neural Networks Based on Incremental Learning with Knowledge Distillation Loss
Live Fish Species Classification in Underwater Images by Using Convolutional Neural Networks Based on Incremental Learning with Knowledge Distillation Loss Open
Nowadays, underwater video systems are largely used by marine ecologists to study the biodiversity in underwater environments. These systems are non-destructive, do not perturb the environment and generate a large amount of visual data usa…
View article: Targeted Data Augmentation and Hierarchical Classification with Deep Learning for Fish Species Identification in Underwater Images
Targeted Data Augmentation and Hierarchical Classification with Deep Learning for Fish Species Identification in Underwater Images Open
In this paper, we address fish species identification in underwater video for marine monitoring applications such as the study of marine biodiversity. Video is the least disruptive monitoring method for fish but requires efficient techniqu…
View article: Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge Findings
Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge Findings Open
Fetoscopy laser photocoagulation is a widely adopted procedure for treating Twin-to-Twin Transfusion Syndrome (TTTS). The procedure involves photocoagulation pathological anastomoses to regulate blood exchange among twins. The procedure is…