Cross-Device Tracking: Matching Devices and Cookies R Díaz-Morales International Conference on Data Mining Workshop (ICDMW), 1699-1704, 2015 | 36 | 2015 |
Efficient parallel implementation of kernel methods R Díaz-Morales, Á Navia-Vázquez Neurocomputing 191, 175-186, 2016 | 18 | 2016 |
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 | 11 | 2019 |
Improving the efficiency of IRWLS SVMs using parallel Cholesky factorization R Díaz Morales, Á Navia Vázquez Pattern Recognition Letters 84, 91-98, 2016 | 10 | 2016 |
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 | 8* | 2020 |
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 | 8 | 2011 |
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 | 7 | 2022 |
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 | 7 | 2020 |
LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs R Díaz-Morales, Á Navia-Vázquez Knowledge-Based Systems 136, 183-186, 2017 | 4 | 2017 |
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 | 4 | 2014 |
Adaptive sigmoidal plant identification using reduced sensitivity recursive least squares A Navia-Vázquez, R Díaz-Morales Signal processing 91 (4), 1066-1070, 2011 | 4 | 2011 |
Fast error estimation for efficient support vector machine growing A Navia-Vázquez, R Díaz-Morales Neurocomputing 73 (4-6), 1018-1023, 2010 | 4 | 2010 |
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 | 3 | 2017 |
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 | 2 | 2015 |
Benefits and challenges of federated learning under the GDPR S Rossello, R Díaz Morales, L Munoz Gonzales Medium, 2021 | 1 | 2021 |
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 | 1 | 2021 |
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 | 1 | 2017 |
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 |