O. Valenzuela

发表

Fuzzy data approximation using smoothing cubic splines: Similarity and error analysis

M. Pasadas, O. Valenzuela, 2011 .

Predicting the accuracy of multiple sequence alignment algorithms by using computational intelligent techniques

Ignacio Rojas, Olga Valenzuela, Francisco M. Ortuño, 2012, Nucleic acids research.

Evolutionary computation for optimal knots allocation in smoothing splines

Miguel Pasadas, Olga Valenzuela, Blanca L. Delgado-Márquez, 2013 .

Feature Selection Using Mutual Information and Neural Networks §1. Introduction

I. Rojas, M. Pasadas, O. Valenzuela, 2022 .

Feature selection using mutual information and neural networks

Alberto Guillén, Luis Javier Herrera, Olga Valenzuela, 2006 .

PoARX models for count time series

H., O. Valenzuela, F. Rojas, 2018 .

Hierarchical Structure for function approximation using radial basis function

H. Pomares, I. Rojas, O. Valenzuela, 2005 .

Advanced diagnosis of Alzheimer’s disease by automatically obtaining the best coronal slices for multi-classification recognition

O. Valenzuela, I. Rojas, Antonio Carrillo, 2019 .

Computer aided diagnosis of Alzheimer's disease by automatically obtaining the best coronal slices for multi-classification recognition

O. Valenzuela, I. Rojas, J. M. Gálvez, 2018 .

A NSGA-II application with different gene expression technologies integration

O. Valenzuela, I. Rojas, J. M. Gálvez, 2018 .

Bioinformatics and Biomedical Engineering

Ignacio Rojas, Olga Valenzuela, Francisco Ortuño, 2019, Lecture Notes in Computer Science.

Development of Soft-Computing techniques capable of diagnosing Alzheimers Disease in its pre-clinical stage combining MRI and FDG-PET images

Ignacio Rojas, Olga Valenzuela, José Luis Bernier, 2014, IWBBIO.

Multi-Class Classifier in Parkinson’s Disease Using an Evolutionary Multi-Objective Optimization Algorithm

O. Valenzuela, F. Rojas, Elvira Delgado-Márquez, 2022, Applied Sciences.

Multi-Objective Genetic Algorithms to Find Most Relevant Volumes of the Brain Related to Alzheimer's Disease and Mild Cognitive Impairment

Ignacio Rojas, Xiaoyi Jiang, Olga Valenzuela, 2018, Int. J. Neural Syst..

Analysis of Variance of Three Contrast Functions in a Genetic Algorithm for Non-linear Blind Source Separation

Juan Manuel Górriz, Olga Valenzuela, Fernando Rojas Ruiz, 2005, IWANN.

Recursive prediction for long term time series forecasting using advanced models

I. Rojas, H. Pomares, A. Prieto, 2007, Neurocomputing.

Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets

Ignacio Rojas, Olga Valenzuela, Juan M. Gálvez, 2019, IEEE Journal of Biomedical and Health Informatics.

Identification of saccadic components in spinocerebellar ataxia applying an independent component analysis algorithm

Jesús González, Olga Valenzuela, Fernando Rojas, 2013, Neurocomputing.

Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach

Olga Valenzuela, Fernando Rojas Ruiz, Jesús González, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

Determination of the Severity and Percentage of COVID-19 Infection through a Hierarchical Deep Learning System

O. Valenzuela, L. Herrera, F. Rojas, 2022, Journal of personalized medicine.

A Blind Source Separation Algorithm for the Processing and Classification of Electro-oculogram Data

Olga Valenzuela, Fernando Rojas, Rodolfo V. García, 2016 .

Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2

Olga Valenzuela, Rodolfo V. García, Belén San Román, 2009, ICANN.

Studying possibility in a clustering algorithm for RBFNN design for function approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, Neural Computing and Applications.

A Possibilistic Approach to RBFN Centers Initialization

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, RSFDGrC.

Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2015, Neurocomputing.

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

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2013, Bioinform..

Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2012, Comput. Biol. Medicine.

An enhanced clustering function approximation technique for a radial basis function neural network

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2012, Math. Comput. Model..

Multiclass classification for skin cancer profiling based on the integration of heterogeneous gene expression series

Ignacio Rojas, Luis Javier Herrera, Olga Valenzuela, 2018, PloS one.

Leukemia multiclass assessment and classification from Microarray and RNA-seq technologies integration at gene expression level

Ignacio Rojas, Olga Valenzuela, Juan Manuel Galvez, 2019, PloS one.

Automatic knot adjustment for b-spline smoothing approximation using improved clustering algorithm

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2005, Fuzzy Sets Syst..

Analysis of the Functional Block and Operator Involved in Fuzzy System Design

Ignacio Rojas, Miguel Pasadas, Olga Valenzuela, 2003, CAEPIA.

Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference process

Ignacio Rojas, Mancia Anguita, Alberto Prieto, 1998, Int. J. Approx. Reason..

Statistical Analysis of the Main Parameters in the Definition of Radial Bases Function Networks

Ignacio Rojas, Alberto Prieto, Olga Valenzuela, 1997, IWANN.

Statistical Analysis of the Different Operator Involved in the Fuzzy Inference Process

Ignacio Rojas, Olga Valenzuela, Fernando Rojas, 2003, WILF.

Main findings and advances in bioinformatics and biomedical engineering- IWBBIO 2018

Olga Valenzuela, Ignacio Rojas, Fernando Rojas, 2020, BMC Bioinformatics.

Evaluating Multiple Sequence Alignments Using a LS-SVM Approach with a Heterogeneous Set of Biological Features

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2013, IWANN.

Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2013, IWBBIO.

Hybridization of intelligent techniques and ARIMA models for time series prediction

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2008, Fuzzy Sets Syst..

Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2006, Fuzzy Sets Syst..

Soft-computing techniques and ARMA model for time series prediction

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2008, Neurocomputing.

Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2010, Neural Computing and Applications.

A New Adaptive and Self Organizing Fuzzy Policy to Enhance the Real Time Control Performance

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2014, Int. J. Comput. Intell. Syst..

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

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2013, Adv. Fuzzy Syst..

A new adaptive fuzzy control policy against conventional methods. Statistical analysis of real time control performance

I. Rojas, H. Pomares, R. Lasri, 2012, 2012 IEEE International Conference on Complex Systems (ICCS).

Statistical analysis of different artificial intelligent techniques applied to Intrusion Detection System

H. Pomares, H. Tribak, B. L. Delgado-Marquez, 2012, 2012 International Conference on Multimedia Computing and Systems.

The TaSe-NF model for function approximation problems: Approaching local and global modelling

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2011, Fuzzy Sets Syst..

Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, ECSQARU.

Main findings and advances in biomedical engineering and bioinformatics from IWBBIO 2015

O. Valenzuela, Ignacio Rojas, P. Glösekötter, 2016, Biomedical engineering online.

Using intelligent system for medical decision-making to magnetic resonance imaging

Héctor Pomares, Alberto Guillén, Luis Javier Herrera, 2013, IWBBIO.

Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2012, J. Appl. Math..

Human activity recognition based on a sensor weighting hierarchical classifier

Héctor Pomares, Miguel Damas, Olga Valenzuela, 2013, Soft Comput..

A Wavelet Approach to Functional Principal Component Analysis

Olga Valenzuela, Ana M. Aguilera, Francisco A. Ocaña, 1998, COMPSTAT.

Using fuzzy logic to improve a clustering technique for function approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, Neurocomputing.

Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, IWANN.

A hierarchical fuzzy steering controller for mobile robots

Ignacio Rojas, O. Valenzuela, K. Goser, 2003, The 3rd International Workshop on Scientific Use of Submarine Cables and Related Technologies, 2003..

Classification of MRI Images for Alzheimer's Disease Detection

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2013, 2013 International Conference on Social Computing.

Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2009, Neurocomputing.

Advanced system for automously classify brain MRI in neurodegenerative disease

Ignacio Rojas, Olga Valenzuela, Belén San Román, 2012, 2012 International Conference on Multimedia Computing and Systems.

Ontological modeling of motivational messages for physical activity coaching

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2017, PervasiveHealth.

Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2013, 2013 International Conference on Social Computing.

Wearable Intelligent System for the Diagnosis of Cardiac Diseases Working in Real Time and with Low Energy Cost

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2018, UCAmI.

Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2013, 2013 13th International Conference on Intellient Systems Design and Applications.

MultiGrid-Based Fuzzy Systems for Function Approximation

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2004, MICAI.

MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2004, ESANN.

Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches.

O. Valenzuela, L. Herrera, Ignacio Rojas-Valenzuela, 2023, Computers in biology and medicine.

Computer Aided Classifier of Colorectal Cancer on Histopatological Whole Slide Images Analyzing Deep Learning Architecture Parameters

O. Valenzuela, I. Rojas, Ignacio Rojas-Valenzuela, 2023, Applied Sciences.

Bioinformatics and Biomedical Engineering

Anna Mantsoki, Anagha Joshi, O. Valenzuela, 2019, Lecture Notes in Computer Science.