4 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
Synthesizing Evolving Symbolic Representations for Autonomous Systems
Gabriele Sartor, Angelo Oddi, Riccardo Rasconi +2
Recently, AI systems have made remarkable progress in various tasks. Deep Reinforcement Learning(DRL) is an effective tool for agents to learn policies in low-level state spaces to…
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…
Time Distributed Deep Learning Models for Purely Exogenous Forecasting: Application to Water Table Depth Prediction using Weather Image Time Series
Matteo Salis, Abdourrahmane M. Atto, Stefano Ferraris +1
Groundwater resources are one of the most relevant elements in the water cycle, therefore developing models to accurately predict them is a pivotal task in the sustainable resource…