Félix Fernando González-Navarro

According to our database1, Félix Fernando González-Navarro authored at least 29 papers between 2007 and 2020.

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



In proceedings 
PhD thesis 


On csauthors.net:


Domain Adaptation for Human Fall Detection Using WiFi Channel State Information.
Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

Review of Image Analysis for the Characterization of Vertically Aligned Nanotubes.
Computación y Sistemas, 2020

Graphical Framework for Categorizing Data Capabilities and Properties of Objects in the Internet of Things.
IEEE Access, 2020

Classification of Vehicle Images through Deep Neural Networks for Camera View Position Selection.
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020


A scheduling extension scheme of the earliest deadline first policy for hard real-time uniprocessor systems integrated on POSIX threads based on Linux.
Comput. Syst. Sci. Eng., 2018

A Lifelogging Platform Towards Detecting Negative Emotions in Everyday Life using Wearable Devices.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Tracking the Evolution of the Internet of Things Concept Across Different Application Domains.
Sensors, 2017

Machine vision system to measuring the velocity field in a fluid by Particle Image Velocimetry: Special Case of Magnetohydrodynamics.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

Virtual angle measurement through an FPGA data processing.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

Glucose Oxidase Biosensor Modeling and Predictors Optimization by Machine Learning Methods.
Sensors, 2016

Methodology for Automatic Collection of Vehicle Traffic Data by Object Tracking.
Proceedings of the Advances in Computational Intelligence, 2016

Feature Selection in Spectroscopy Brain Cancer Data.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015

Combined application of Power Spectrum Centroid and Support Vector Machines for measurement improvement in Optical Scanning Systems.
Signal Process., 2014

Selección de características para datos de expresión de los genes mediante microarreglos usando recocido simulado guiado por la entropía conjunta multivariada.
Computación y Sistemas, 2014

Glucose Oxidase Biosensor Modeling by Machine Learning Methods.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

Non-deterministic Local Search Methods for Feature Selection: An Experimental Study.
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014

Machine vision supported by artificial intelligence.
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014

Surface recognition improvement in 3D medical laser scanner using Levenberg-Marquardt method.
Signal Process., 2013

Review and Evaluation of Feature Selection Algorithms in Synthetic Problems
CoRR, 2011

Feature Selection for the Prediction and Visualization of Brain Tumor Types Using Proton Magnetic Resonance Spectroscopy Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors.
Neurocomputing, 2010

Outlier exploration and diagnostic classification of a multi-centre <sup>1</sup>H-MRS brain tumour database.
Neurocomputing, 2009

Gene subset selection in microarray data using entropic filtering for cancer classification.
Expert Syst. J. Knowl. Eng., 2009

Feature Selection in in vivo1H-MRS Single Voxel Spectra.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Feature Selection in Proton Magnetic Resonance Spectroscopy for Brain Tumor Classification.
Proceedings of the ESANN 2008, 2008

A Thermodynamical Search Algorithm for Feature Subset Selection.
Proceedings of the Neural Information Processing, 14th International Conference, 2007