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Roberto Díaz Morales
Roberto Díaz Morales
Phd, Senior Researcher, Treelogic
Verified email at tsc.uc3m.es - Homepage
Title
Cited by
Cited by
Year
Cross-Device Tracking: Matching Devices and Cookies
R Díaz-Morales
International Conference on Data Mining Workshop (ICDMW), 1699-1704, 2015
352015
Efficient parallel implementation of kernel methods
R Díaz-Morales, Á Navia-Vázquez
Neurocomputing 191, 175-186, 2016
182016
Data-analytics modeling of electrical impedance measurements for cell culture monitoring
E García, P Pérez, A Olmo, R Díaz, G Huertas, A Yúfera
Sensors 19 (21), 4639, 2019
112019
Improving the efficiency of IRWLS SVMs using parallel Cholesky factorization
R Díaz Morales, Á Navia Vázquez
Pattern Recognition Letters 84, 91-98, 2016
102016
Parallel semiparametric support vector machines
R Díaz-Morales, HY Molina-Bulla, A Navia-Vázquez
The 2011 International Joint Conference on Neural Networks, 475-481, 2011
82011
Data protection by design in AI? The case of federated learning
S Rossello, L Muñoz-González, R Díaz Morales
Computerrecht: Tijdschrift voor Informatica, Telecommunicatie en Recht, 273-279, 2021
7*2021
Distributed Nonlinear Semiparametric Support Vector Machine for Big Data Applications on Spark Frameworks
R Díaz-Morales, Á Navia-Vázquez
IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (11), 4664-4675, 2020
72020
Diagnostic and Prognostic Value of Coronary Computed Tomography Angiography in Patients with Severe Calcification
FJPJLFF Belén Díaz-Antón, Jorge Solís, Roberto Díaz Morales, Beatriz López ...
Journal of Cardiovascular Translational Research, 2020
7*2020
Budget distributed support vector machine for non-id federated learning scenarios
A Navia-Vázquez, R Díaz-Morales, M Fernández-Díaz
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (6), 1-25, 2022
62022
LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs
R Díaz-Morales, Á Navia-Vázquez
Knowledge-Based Systems 136, 183-186, 2017
42017
Optimization of AMS using Weighted AUC optimized models
R Dıaz-Morales, A Navia-Vázquez
Proceedings of the NIPS Workshop on High-energy Physics and Machine Learning …, 2014
42014
Adaptive sigmoidal plant identification using reduced sensitivity recursive least squares
A Navia-Vázquez, R Díaz-Morales
Signal processing 91 (4), 1066-1070, 2011
42011
Fast error estimation for efficient support vector machine growing
A Navia-Vázquez, R Díaz-Morales
Neurocomputing 73 (4-6), 1018-1023, 2010
42010
Pattern recognition in residential end uses of water using artificial neural networks and other machine-learning techniques
JCI Carranza, RD Morales, JA Sánchez
Proceedings of the CCWI, 2017
32017
Exploring capacities of SDAs and GBMs in BCI environments
R Diaz-Morales, A Omari, Adil, JJ Choquehuanca-Zevallos, ...
7th International IEEE EMBS Neural Engineering Conference, 2015
22015
Benefits and challenges of federated learning under the GDPR
S Rossello, R Díaz Morales, L Munoz Gonzales
Medium, 2021
12021
Privacy-Preserving Technologies for Trusted Data Spaces
S Bonura, DD Carbonare, R Díaz-Morales, M Fernández-Díaz, L Morabito, ...
Technologies and Applications for Big Data Value, 111-134, 2021
12021
Nonlinear Feature Extraction for Big Data Analytics
A Omari, JJ Choquehuanca Zevallos, R Diaz Morales
Big Data Analytics: Tools and Technology for Effective Planning, 2017
12017
Increasing Trust within a Data Space with Federated learning
S Bonura, D Dalle Carbonare, R Díaz-Morales, Á Navia-Vázquez, ...
Data Spaces: Design, Deployments, and Future Directions, 2022
2022
AI IN HEALTHCARE WHITEPAPER
BDVA Task Force 7 - Sub-group Healthcare, 2020
2020
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