2 papers
cs.CL2025
A comparison of pipelines for the translation of a low resource language based on transformers
Chiara Bonfanti, Michele Colombino, Giulia Coucourde +3
This work compares three pipelines for training transformer-based neural networks to produce machine translators for Bambara, a Mandè language spoken in Africa by about 14,188,850…
cs.CV2024
Deep Learning tools to support deforestation monitoring in the Ivory Coast using SAR and Optical satellite imagery
Gabriele Sartor, Matteo Salis, Stefano Pinardi +2
Deforestation is gaining an increasingly importance due to its strong influence on the sorrounding environment, especially in developing countries where population has a disadvanta…