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cs.LG2025★ 1 cited
CoSeNet: A Novel Approach for Optimal Segmentation of Correlation Matrices
Alberto. Palomo-Alonso, David Casillas-Perez, Silvia Jimenez-Fernandez +2
In this paper, we propose a novel approach for the optimal identification of correlated segments in noisy correlation matrices. The proposed model is known as CoSeNet (Correlation…
cs.LG2021
Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives
Javier Del Ser, David Casillas-Perez, Laura Cornejo-Bueno +4
Randomization-based Machine Learning methods for prediction are currently a hot topic in Artificial Intelligence, due to their excellent performance in many prediction problems, wi…