José María Martínez-Martínez

According to our database1, José María Martínez-Martínez authored at least 25 papers between 2011 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Analysis of computer user behavior, security incidents and fraud using Self-Organizing Maps.
Comput. Secur., 2019

2017
Use of SOMs for footwear comfort evaluation.
Neural Comput. Appl., 2017

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

2016
A new visualization tool for data mining techniques.
Prog. Artif. Intell., 2016

Online fitted policy iteration based on extreme learning machines.
Knowl. Based Syst., 2016

ELM Regularized Method for Classification Problems.
Int. J. Artif. Intell. Tools, 2016

2015
A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis.
Comput. Biol. Medicine, 2015

2014
Least-squares temporal difference learning based on an extreme learning machine.
Neurocomputing, 2014

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

Optimization of anemia treatment in hemodialysis patients via reinforcement learning.
Artif. Intell. Medicine, 2014

Ensembles of extreme learning machine networks for value prediction.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Visual data mining with self-organising maps for ventricular fibrillation analysis.
Comput. Methods Programs Biomed., 2013

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

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

Temperature Forecast in Buildings Using Machine Learning Techniques.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Machine Learning Techniques for Short-Term Electric Power Demand Prediction.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

ManiSonS: A New Visualization Tool for Manifold Clustering.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Least-squares temporal difference learning based on extreme learning machine.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

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

extended visualization method for classification trees.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

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

Analysis of ventricular fibrillation signals using feature selection methods.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011
Regularized extreme learning machine for regression problems.
Neurocomputing, 2011

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

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


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