Fernando Rojas Ruiz - Citegraph

Author Info

Name	Affiliation	Papers
FERNANDO ROJAS RUIZ	Univ Granada, ETSI Informat, Dept Arquitectura & Tecnol Comp, E-18071 Granada, Spain	18
Collaborators	Citations	PageRank
54	34	7.37
Referers	Referees	References
97	287	140

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100287

Publications (18 rows)

Collaborators (54 rows)

Referers (97 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Automatic Glissade Determination Through a Mathematical Model in Electrooculographic Records.	0	0.34	2017
Evaluation of Algorithms for Automatic Classification of Heart Sound Signals.	1	0.36	2017
Evaluation of the Differentiation of Noisy Electrooculographic Records Using Continuous Wavelet Transform.	0	0.34	2017
Evaluation of Fitting Functions for the Saccade Velocity Profile in Electrooculographic Records	1	0.41	2015
A Comparison of Two Fitting Functions for Sacadic Pulse Component Mathematical Modelling.	1	0.45	2014
Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach	0	0.34	2010
Output value-based initialization for radial basis function neural networks	15	0.75	2007
A Genetic Programming Approach for Classification of the Spontaneous Termination of Atrial Fibrillation	0	0.34	2007
Optimizing blind source separation with guided genetic algorithms	2	0.39	2006
Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network	3	0.53	2005
Analysis of Variance of Three Contrast Functions in a Genetic Algorithm for Non-linear Blind Source Separation	0	0.34	2005
Analysis of contrast functions in a genetic algorithm for post-nonlinear blind source separation	0	0.34	2005
Plugging an Histogram-Based Contrast Function on a Genetic Algorithm for Solving PostNonLinear-BSS	0	0.34	2004
Lattice ICA for the separation of speech signals	1	0.37	2004
Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals	0	0.34	2004
Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation	0	0.34	2003
A procedure for improving generalization in classification trees	2	0.37	2002
Short-Term Prediction of Chaotic Time Series by Using RBF Network with Regression Weights.	8	0.69	2000

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