100 citations · 104 across the 15 of their papers we have counts for
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cs.LG2024
Differential Privacy Regularization: Protecting Training Data Through Loss Function Regularization
Francisco Aguilera-Martínez, Fernando Berzal
Training machine learning models based on neural networks requires large datasets, which may contain sensitive information. The models, however, should not expose private informati…
cs.SI2024
Enhancing Community Detection in Networks: A Comparative Analysis of Local Metrics and Hierarchical Algorithms
Julio-Omar Palacio-Niño, Fernando Berzal
The analysis and detection of communities in network structures are becoming increasingly relevant for understanding social behavior. One of the principal challenges in this field…
q-fin.TR2024★ 1 cited
Beyond Trend Following: Deep Learning for Market Trend Prediction
Fernando Berzal, Alberto Garcia
Trend following and momentum investing are common strategies employed by asset managers. Even though they can be helpful in the proper situations, they are limited in the sense tha…