Marcelino Martínez-Sober

Orcid: 0000-0002-7398-8107

According to our database1, Marcelino Martínez-Sober authored at least 25 papers between 2004 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Empirical study of the modulus as activation function in computer vision applications.
Eng. Appl. Artif. Intell., April, 2023

2022
Approaching sales forecasting using recurrent neural networks and transformers.
Expert Syst. Appl., 2022

2021
End-to-end Keyword Spotting using Xception-1d.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2018
Towards Detecting Structures in Computational Astrophysics Plasma Simulations: Using Machine Learning for Shock Front Classification.
Proceedings of the Artificial Intelligence Research and Development, 2018

2017
A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning.
Expert Syst. Appl., 2017

A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time.
Comput. Biol. Medicine, 2017

2016
Machine Learning for Modeling the Biomechanical Behavior of Human Soft Tissue.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

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

2013
Expert system for predicting unstable angina based on Bayesian networks.
Expert Syst. Appl., 2013

Matlab-based interface for the simultaneous acquisition of force measures and Doppler ultrasound muscular images.
Comput. Methods Programs Biomed., 2013

2012
Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients.
Expert Syst. Appl., 2012

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

Regularized Committee of Extreme Learning Machine for Regression Problems.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

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

Sectors on sectors (SonS): A new hierarchical clustering visualization tool.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010
Description and evaluation of an introductory course to Matlab for a heterogeneous group of university students.
Comput. Appl. Eng. Educ., 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

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

2007
A Family of Adaptive Algorithms Robust to Impulsive Noise.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Validation of a Reinforcement Learning Policy for Dosage Optimization of Erythropoietin.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2004
A novel approach to introducing adaptive filters based on the LMS algorithm and its variants.
IEEE Trans. Educ., 2004

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


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