5 citations · 14 across the 9 of their papers we have counts for
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cs.LG2024
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting
Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo +1
Transformers have become the leading choice in natural language processing over other deep learning architectures. This trend has also permeated the field of time series analysis,…
cs.CV2024★ 2 cited
Small data deep learning methodology for in-field disease detection
David Herrera-Poyato, Jacinto Domínguez-Rull, Rosana Montes +6
Early detection of diseases in crops is essential to prevent harvest losses and improve the quality of the final product. In this context, the combination of machine learning and p…