Long-term effects of the herbicide glyphosate and its main metabolite (aminomethylphosphonic acid) on the growth, chlorophyll a and morphology of freshwater benthic diatoms
Published by
Heliyon
Summary
journal-article
“UDE DIATOMS in the Wild 2024”: a new image dataset of freshwater diatoms for training deep learning models
Published by
GigaScience
Summary
journal-article
Automatic identification of diatoms using deep learning to improve ecological diagnosis of aquatic environments
Summary
dissertation-thesis
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
Summary
conference-paper
Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval
Summary
conference-paper
Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval
Summary
book-chapter
Reconnaissance automatique des diatomées : évaluation de l’influence des erreurs d’identification sur l’IBD et de l’état écologique des cours d’eau. Exemple du bassin Rhin-Meuse
Summary
conference-paper
The new University of Duisburg-Essen diatom digital image training data set (UDE did it v1.0)
Summary
other
Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach
Published by
Engineering Applications of Artificial Intelligence
Summary
journal-article
Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach
Published by
Engineering Applications of Artificial Intelligence
Summary
journal-article
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
Summary
working-paper
A data driven approach to generate realistic 3D tree barks
Published by
Graphical Models
Summary
journal-article
Effet des pesticides sur la morphologie des diatomées benthiques d'eau douce : le cas du glyphosate
Summary
other
Link between glyphosate exposure and teratological forms in freshwater benthic diatoms
Summary
other
Tackling inter-class similarity and intra-class variance for microscopic image-based classification
Summary
conference-paper
Tackling Inter-class Similarity and Intra-class Variance for Microscopic Image-Based Classification
Summary
book-chapter
Utilisation d’images microscopiques artificielles en complément d’images réelles pour la détection automatique de diatomées par apprentissage profond
Summary
other
Classification automatique des diatomées par apprentissage profond pour l’amélioration du diagnostic écologique des milieux aquatiques