Roberto Díaz-Morales

13 papers B 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2022 J jnl
Budget Distributed Support Vector Machine for Non-ID Federated Learning Scenarios.
ACM Trans. Intell. Syst. Technol.
Ángel Navia-Vázquez, Roberto Díaz-Morales, Marcos Fernández Díaz
2022 — ch.
Increasing Trust for Data Spaces with Federated Learning.
Data Spaces
Susanna Bonura, Davide Dalle Carbonare, Roberto Díaz-Morales, Ángel Navia-Vázquez, Mark Purcell, Stephanie Rossello
2022 — ch.
Privacy-Preserving Technologies for Trusted Data Spaces.
Technologies and Applications for Big Data Value
Susanna Bonura, Davide Dalle Carbonare, Roberto Díaz-Morales, Marcos Fernández Díaz, Lucrezia Morabito, Luis Muñoz-González, Chiara Napione, Ángel Navia-Vázquez, Mark Purcell
2020 J jnl
Distributed Nonlinear Semiparametric Support Vector Machine for Big Data Applications on Spark Frameworks.
IEEE Trans. Syst. Man Cybern. Syst.
Roberto Díaz-Morales, Ángel Navia-Vázquez
2017 J jnl
LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs.
Knowl. Based Syst.
Roberto Díaz-Morales, Ángel Navia-Vázquez
2016 J jnl
Efficient parallel implementation of kernel methods.
Neurocomputing
Roberto Díaz-Morales, Ángel Navia-Vázquez
2016 J jnl
Improving the efficiency of IRWLS SVMs using parallel Cholesky factorization.
Pattern Recognit. Lett.
Roberto Díaz-Morales, Ángel Navia-Vázquez
2015 — conf
Cross-Device Tracking: Matching Devices and Cookies.
ICDM Workshops
Roberto Díaz-Morales
2015 J jnl
Cross-Device Tracking: Matching Devices and Cookies.
CoRR
Roberto Díaz-Morales
2014 — conf
Optimization of AMS using Weighted AUC optimized models.
HEPML@NIPS
Roberto Díaz-Morales, Ángel Navia-Vázquez
2011 J jnl
Adaptive sigmoidal plant identification using reduced sensitivity recursive least squares.
Signal Process.
Ángel Navia-Vázquez, Roberto Díaz-Morales
2011 B conf
Parallel Semiparametric Support Vector Machines.
IJCNN
Roberto Díaz-Morales, Harold Y. Molina-Bulla, Ángel Navia-Vázquez
2010 J jnl
Fast error estimation for efficient support vector machine growing.
Neurocomputing
Ángel Navia-Vázquez, Roberto Díaz-Morales