Ferran Mazzanti

According to our database, Ferran Mazzanti authored at least 11 papers between 2002 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Machine Learning Prediction of Cardiovascular Risk in Type 1 Diabetes Mellitus Using Radiomics Features from Multimodal Retinal Images.

Ariadna Tohà-Dalmau, Josep Rosinés-Fonoll, Enrique Romero, Ferran Mazzanti, Ruben Martin-Pinardel, Sonia Marias-Perez, Carolina Bernal-Morales, Rafael Castro-Dominguez, Andrea Mendez, Emilio Ortega, Irene Vinagre, Marga Giménez, Alfredo Vellido, Javier Zarranz-Ventura

CoRR, April, 2025

Mean Field Initialization of the Annealed Importance Sampling Algorithm for an Efficient Evaluation of the Partition Function Using Restricted Boltzmann Machines.

Arnau Prat Pou, Enrique Romero, Jordi Martí, Ferran Mazzanti

Entropy, 2025

2024

Learning restricted Boltzmann machines with pattern induced weights.

Jon Garí, Enrique Romero, Ferran Mazzanti

Neurocomputing, 2024

Mean field initialization of the Annealed Importance Sampling algorithm for an efficient evaluation of the Partition Function of Restricted Boltzmann Machines.

Arnau Prat Pou, Enrique Romero, Jordi Martí, Ferran Mazzanti

CoRR, 2024

2020

Efficient Evaluation of the Partition Function of RBMs with Annealed Importance Sampling.

Ferran Mazzanti, Enrique Romero

CoRR, 2020

2019

Weighted contrastive divergence.

Enrique Romero, Ferran Mazzanti, Jordi Delgado, David Buchaca Prats

Neural Networks, 2019

2014

Stopping Criteria in Contrastive Divergence: Alternatives to the Reconstruction Error.

David Buchaca Prats, Enrique Romero, Ferran Mazzanti, Jordi Delgado

Proceedings of the 2nd International Conference on Learning Representations, 2014

2008

Boltzmann Machines Reduction by High-Order Decimation.

Enric Farguell, Ferran Mazzanti, Eduardo Gómez-Ramírez

IEEE Trans. Neural Networks, 2008

2007

ChapBoltzmann Machines Learning Using High Order Decimation.

Enric Farguell, Ferran Mazzanti, Eduardo Gómez-Ramírez

Proceedings of the Hybrid Intelligent Systems - Analysis and Design, 2007

2006

Increasing Boltzmann Machine Learning Speed and Accuracy with the High Order Decimation Method.

Eduardo Gómez-Ramírez, Enric Farguell, Ferran Mazzanti

Res. Comput. Sci., 2006

2002

Cellular Neral Netmorks Learning using Genetic Alorithm.

Eduardo Gómez-Ramírez, Ferran Mazzanti

Res. Comput. Sci., 2002