J. Rafael Magdalena Benedicto

Orcid: 0000-0003-3752-8231

Affiliations:
  • University of Valencia, Spain


According to our database1, J. Rafael Magdalena Benedicto authored at least 26 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
An effective algorithm for computing the asymptotes of an implicit curve.
J. Comput. Appl. Math., February, 2024

Multimodal video analysis for crowd anomaly detection using open access tourism cameras.
CoRR, 2024

2023
Detecting and parametrizing polynomial surfaces without base points.
Comput. Aided Geom. Des., December, 2023

Design and implementation of symbolic algorithms for the computation of generalized asymptotes.
Ann. Math. Artif. Intell., August, 2023

Closed-loop control of a noisy qubit with reinforcement learning.
Mach. Learn. Sci. Technol., June, 2023

Some New Symbolic Algorithms for the Computation of Generalized Asymptotes.
Symmetry, 2023

2022
Determining the asymptotic family of an implicit curve.
Comput. Aided Geom. Des., 2022

2021
Quantum Stream Learning.
CoRR, 2021

Active Learning for the Optimal Design of Multinomial Classification in Physics.
CoRR, 2021

2014
Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques.
Comput. Methods Programs Biomed., 2014

2013
Bayesian Regularized Committee of Extreme Learning Machine.
Proceedings of the ICPRAM 2013, 2013

2012
Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques.
Expert Syst. Appl., 2012

2011
BELM: Bayesian Extreme Learning Machine.
IEEE Trans. Neural Networks, 2011

Regularized extreme learning machine for regression problems.
Neurocomputing, 2011

Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010
Feature selection using ROC curves on classification problems.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Qualitative analysis of goat and sheep production data using self-organizing maps.
Expert Syst. J. Knowl. Eng., 2009

Survival prediction in patients undergoing ischemic cardiopathy.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
A Teaching Laboratory in Analog Electronics: Changes to Address the Bologna Requirements.
IEEE Trans. Educ., 2008

Web mining based on Growing Hierarchical Self-Organizing Maps: Analysis of a real citizen web portal.
Expert Syst. Appl., 2008

Use of Reinforcement Learning in Two Real Applications.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

2007
BioLab: An Educational Tool for Signal Processing Training in Biomedical Engineering.
IEEE Trans. Educ., 2007

Weekly milk prediction on dairy goats using neural networks.
Neural Comput. Appl., 2007

2004
Foetal ECG recovery using dynamic neural networks.
Artif. Intell. Medicine, 2004

Design of a Neural Network Model as a Decision Making Aid in Renal Transplant.
Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004

2003
High performance hardware correlation coefficient assessment using programmable logic for ECG signals.
Microprocess. Microsystems, 2003


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