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L. Grilli

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Open access Aug 2026

CNN Sample-Size Effects Across Biomedical Datasets: A Reliability Pattern in Overfitting, Ranking, and Monotonicity

Convolutional neural networks (CNNs) are widely used for biomedical image classification, yet it remains unclear under which conditions training on reduced subsets of available data can provide reliable guidance during model development, how much training data is required to achieve stable and comparable performance ac...

G. Sgarro, Melle Mendikowski, D. Santoro et al. · 0 citations
Open access Jul 2026

Assessing the role of weather in commodity price forecasting: evidence from fine durum wheat

This study examines the case of fine durum wheat by comparing Machine Learning and Deep Learning approaches under different feature configurations, with and without meteorological variables, and suggests that the predictive value of weather variables is highly dependent on data granularity and market structure.

Antonio Vairo, Francesca Romano, L. Grilli · 0 citations

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