Olga Valenzuela
Orcid: 0000-0001-6034-9392
According to our database1,
Olga Valenzuela
authored at least 76 papers
between 1997 and 2024.
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Bibliography
2024
Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches.
Comput. Biol. Medicine, January, 2024
2023
BMC Bioinform., December, 2023
Neural Process. Lett., October, 2023
Multi-classification of Alzheimer's Disease by NSGA-II Slices Optimization and Fusion Deep Learning.
Proceedings of the Artificial Life and Evolutionary Computation, 2023
Deep Learning Systems for the Classification of Cardiac Pathologies Using ECG Signals.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023
2022
COVID-19 Severity Classification Using a Hierarchical Classification Deep Learning Model.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
2021
Neural Process. Lett., 2021
2020
Main findings and advances in bioinformatics and biomedical engineering- IWBBIO 2018.
BMC Bioinform., May, 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
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
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
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
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
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
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
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
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
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Artificial Neural Networks, 2009
2008
Studying possibility in a clustering algorithm for RBFNN design for function approximation.
Neural Comput. Appl., 2008
Neurocomputing, 2008
Fuzzy Sets Syst., 2008
2007
Neural Process. Lett., 2007
Neurocomputing, 2007
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
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
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 13th European Symposium on Artificial Neural Networks, 2005
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
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 12th European Symposium on Artificial Neural Networks, 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
Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003
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
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998
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