Rebecca Leygonie

Orcid: 0009-0007-1279-9832

According to our database1, Rebecca Leygonie authored at least 8 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Evaluating Transformers Learning by Representing Self-Attention Weights as a Graph.
Proceedings of the 20th International Joint Conference on Computer Vision, 2025

Représentation des poids d'auto-attention sous forme de graphe pour l'évaluation des Transformers.
Proceedings of the Extraction et Gestion des Connaissances, EGC 2025, 2025

2024
Impact de la représentation de l'information sur les performances et la validation des modèles d'apprentissage profond. (Impact of information representation on the performance and validation of deep learning models).
PhD thesis, 2024

Can we detect plant diseases without prior knowledge of their existence?
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
Deep learning for classification of noisy QR codes.
CoRR, 2023

Transforming Multidimensional Data into Images to Overcome the Curse of Dimensionality.
Proceedings of the IEEE International Conference on Image Processing, 2023

An a contrario approach for plant disease detection.
Proceedings of the 34th British Machine Vision Conference Workshop Proceedings, 2023

2021
Empirical analysis of the residual information needed for image classification.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021


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