Olga Valenzuela

According to our database1, Olga Valenzuela authored at least 68 papers between 1997 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets.
IEEE J. Biomed. Health Informatics, 2020

Computational Intelligence Methods for Time Series Analysis and Forecasting: Special Issue of IWANN 2017.
Neural Process. Lett., 2020

2018
Multi-Objective Genetic Algorithms to Find Most Relevant Volumes of the Brain Related to Alzheimer's Disease and Mild Cognitive Impairment.
Int. J. Neural Syst., 2018

Wearable Intelligent System for the Diagnosis of Cardiac Diseases Working in Real Time and with Low Energy Cost.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

2017
Statistical Analysis of the Main Configuration Parameters of the Network Dynamic and Adaptive Radio Protocol (DARP).
Sensors, 2017

Automatic Mapping of Motivational Text Messages into Ontological Entities for Smart Coaching Applications.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

Ontological modeling of motivational messages for physical activity coaching.
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017

2015
Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments.
Neurocomputing, 2015

2014
A New Adaptive and Self Organizing Fuzzy Policy to Enhance the Real Time Control Performance.
Int. J. Comput. Intell. Syst., 2014

Development of Soft-Computing techniques capable of diagnosing Alzheimers Disease in its pre-clinical stage combining MRI and FDG-PET images.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Advances in bioinformatics using soft-computing paradigms.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Creation of a Database Including a Set of Biological Features Related to Protein Sequences and Their Corresponding Alignment.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
Human activity recognition based on a sensor weighting hierarchical classifier.
Soft Comput., 2013

Identification of saccadic components in spinocerebellar ataxia applying an independent component analysis algorithm.
Neurocomputing, 2013

Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns.
Bioinform., 2013

Innovative Strategy to Improve Precision and to Save Power of a Real-Time Control Process Using an Online Adaptive Fuzzy Logic Controller.
Adv. Fuzzy Syst., 2013

Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Classification of MRI Images for Alzheimer's Disease Detection.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Optimal Knots Allocation in Smoothing Splines using intelligent system. Application in bio-medical signal processing. .
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Using intelligent system for medical decision-making to magnetic resonance imaging.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Evaluating Multiple Sequence Alignments Using a LS-SVM Approach with a Heterogeneous Set of Biological Features.
Proceedings of the Advances in Computational Intelligence, 2013

Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

Automatic knot adjustment for b-spline smoothing approximation using improved clustering algorithm.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
An enhanced clustering function approximation technique for a radial basis function neural network.
Math. Comput. Model., 2012

Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology.
J. Appl. Math., 2012

Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification.
Comput. Biol. Medicine, 2012

Advanced systems in medical decision-making using intelligent computing. Application to magnetic resonance imaging.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Statistical analysis of different artificial intelligent techniques applied to Intrusion Detection System.
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012

Advanced system for automously classify brain MRI in neurodegenerative disease.
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012

2011
The TaSe-NF model for function approximation problems: Approaching local and global modelling.
Fuzzy Sets Syst., 2011

A new approach to estimate the interpolation error of fuzzy data using similarity measures of fuzzy numbers.
Comput. Math. Appl., 2011

Pulse Component Modification Detection in Spino Cerebellar Ataxia 2 Using ICA.
Proceedings of the Advances in Computational Intelligence, 2011

2010
Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks.
Neural Comput. Appl., 2010

Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

2009
Intelligent Classifier for Atrial Fibrillation (ECG).
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems.
Neurocomputing, 2009

Intelligent System Based on Genetic Programming for Atrial Fibrillation Classification.
Appl. Artif. Intell., 2009

Applications in Bio-informatics and Biomedical Engineering.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2.
Proceedings of the Artificial Neural Networks, 2009

2008
Studying possibility in a clustering algorithm for RBFNN design for function approximation.
Neural Comput. Appl., 2008

Soft-computing techniques and ARMA model for time series prediction.
Neurocomputing, 2008

Hybridization of intelligent techniques and ARIMA models for time series prediction.
Fuzzy Sets Syst., 2008

2007
Output value-based initialization for radial basis function neural networks.
Neural Process. Lett., 2007

Recursive prediction for long term time series forecasting using advanced models.
Neurocomputing, 2007

Using fuzzy logic to improve a clustering technique for function approximation.
Neurocomputing, 2007

A Genetic Programming Approach for Classification of the Spontaneous Termination of Atrial Fibrillation.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

2006
Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time.
Fuzzy Sets Syst., 2006

2005
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy.
Fuzzy Sets Syst., 2005

A Possibilistic Approach to RBFN Centers Initialization.
Proceedings of the Rough Sets, 2005

Analysis of Variance of Three Contrast Functions in a Genetic Algorithm for Non-linear Blind Source Separation.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

TaSe Model for Long Term Time Series Forecasting.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Assessing the Performance of Several Fitness Functions in a Genetic Algorithm for Nonlinear Separation of Sources.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network.
Proceedings of the ESANN 2005, 2005

Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004
The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

MultiGrid-Based Fuzzy Systems for Function Approximation.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality.
Proceedings of the ESANN 2004, 2004

2003
Statistical Analysis of the Different Operator Involved in the Fuzzy Inference Process.
Proceedings of the Fuzzy Logic and Applications, 5th International Workshop, 2003

Sequential Learning Algorithm of Neural Networks Systems for Time Series.
Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003

Analysis of the Functional Block and Operator Involved in Fuzzy System Design.
Proceedings of the Current Topics in Artificial Intelligence, 2003

The Synergy of GA and Fuzzy Systems for Multidimensional Problem: Application to Time Series Prediction.
Proceedings of the Current Topics in Artificial Intelligence, 2003

1998
Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference process.
Int. J. Approx. Reason., 1998

What are the main factors involved in the design of a Radial Basis Function Network?
Proceedings of the ESANN 1998, 1998

A Wavelet Approach to Functional Principal Component Analysis.
Proceedings of the COMPSTAT 1998, 1998

1997
Statistical Analysis of the Main Parameters in the Definition of Radial Bases Function Networks.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997


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