César Hervás-Martínez
Orcid: 0000-0003-4564-1816
According to our database1,
César Hervás-Martínez
authored at least 239 papers
between 1992 and 2024.
Collaborative distances:
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Bibliography
2024
Validation of artificial neural networks to model the acoustic behaviour of induction motors.
CoRR, 2024
2023
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation.
Inf. Sci., November, 2023
Neural Process. Lett., October, 2023
Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2.
Expert Syst. Appl., September, 2023
Inf. Fusion, May, 2023
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment.
Appl. Soft Comput., May, 2023
Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study.
IEEE Trans. Neural Networks Learn. Syst., March, 2023
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data.
Eng. Appl. Artif. Intell., 2023
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification.
CoRR, 2023
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment.
Comput. Ind., 2023
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification.
Proceedings of the Advances in Computational Intelligence, 2023
Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors.
Proceedings of the Advances in Computational Intelligence, 2023
Proceedings of the Advances in Computational Intelligence, 2023
Proceedings of the Advances in Computational Intelligence, 2023
2022
Pattern Recognit., 2022
A novel deep ordinal classification approach for aesthetic quality control classification.
Neural Comput. Appl., 2022
COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain.
Expert Syst. Appl., 2022
Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022
2021
IEEE Trans. Cybern., 2021
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients.
Expert Syst. Appl., 2021
Proceedings of the Advances in Artificial Intelligence, 2021
Studying the Effect of Different L<sub>p</sub> Norms in the Context of Time Series Ordinal Classification.
Proceedings of the Advances in Artificial Intelligence, 2021
2020
Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing.
Neural Process. Lett., 2020
Multi-task learning for the prediction of wind power ramp events with deep neural networks.
Neural Networks, 2020
Prediction of convective clouds formation using evolutionary neural computation techniques.
Neural Comput. Appl., 2020
Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm.
Appl. Soft Comput., 2020
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Dynamical memetization in coral reef optimization algorithms for optimal time series approximation.
Prog. Artif. Intell., 2019
Neurocomputing, 2019
A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation.
Neurocomputing, 2019
Multi-objective evolutionary optimization using the relationship between F 1 and accuracy metrics in classification tasks.
Appl. Intell., 2019
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019
Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms.
Neural Comput. Appl., 2018
Neural Comput. Appl., 2018
Simultaneous optimisation of clustering quality and approximation error for time series segmentation.
Inf. Sci., 2018
CoRR, 2018
Appl. Soft Comput., 2018
A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series.
Appl. Soft Comput., 2018
Appl. Soft Comput., 2018
Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series.
Proceedings of the Advances in Artificial Intelligence, 2018
Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018
2017
Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation.
Prog. Artif. Intell., 2017
Identifying Market Behaviours Using European Stock Index Time Series by a Hybrid Segmentation Algorithm.
Neural Process. Lett., 2017
Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation.
Knowl. Based Syst., 2017
Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem.
Artif. Intell. Medicine, 2017
Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation.
Proceedings of the Advances in Computational Intelligence, 2017
A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems.
Proceedings of the Advances in Computational Intelligence, 2017
Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction.
Proceedings of the Advances in Computational Intelligence, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images.
IEEE Trans. Medical Imaging, 2016
IEEE Trans. Knowl. Data Eng., 2016
Neural Process. Lett., 2016
On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes.
Neural Process. Lett., 2016
Neural Networks, 2016
Enforcement of the principal component analysis-extreme learning machine algorithm by linear discriminant analysis.
Neural Comput. Appl., 2016
Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery.
Expert Syst. Appl., 2016
Adapting linear discriminant analysis to the paradigm of learning from label proportions.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Hybridization of neural network models for the prediction of Extreme Significant Wave Height segments.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Tackling the ordinal and imbalance nature of a melanoma image classification problem.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Classification of Melanoma Presence and Thickness Based on Computational Image Analysis.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis.
Proceedings of the Advances in Artificial Intelligence, 2016
Proceedings of the Advances in Artificial Intelligence, 2016
Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines.
Proceedings of the Advances in Artificial Intelligence, 2016
2015
IEEE Trans. Knowl. Data Eng., 2015
Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency.
Prog. Artif. Intell., 2015
Neurocomputing, 2015
Classification of countries' progress toward a knowledge economy based on machine learning classification techniques.
Expert Syst. Appl., 2015
Significant wave height and energy flux range forecast with machine learning classifiers.
Eng. Appl. Artif. Intell., 2015
A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method.
Appl. Soft Comput., 2015
An Experimental Comparison for the Identification of Weeds in Sunflower Crops via Unmanned Aerial Vehicles and Object-Based Analysis.
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the Advances in Computational Intelligence, 2015
Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series.
Proceedings of the Advances in Computational Intelligence, 2015
Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models.
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the Advances in Artificial Intelligence, 2015
Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models.
Proceedings of the Advances in Artificial Intelligence, 2015
2014
Remote. Sens., 2014
Neural Networks, 2014
Classification of EU countries' progress towards sustainable development based on ordinal regression techniques.
Knowl. Based Syst., 2014
Neurocomputing, 2014
Metrics to guide a multi-objective evolutionary algorithm for ordinal classification.
Neurocomputing, 2014
Expert Syst. Appl., 2014
Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier.
Eng. Appl. Artif. Intell., 2014
A guided data projection technique for classification of sovereign ratings: The case of European Union 27.
Appl. Soft Comput., 2014
Appl. Soft Comput., 2014
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014
Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
Log-Gamma Distribution Optimisation via Maximum Likelihood for Ordered Probability Estimates.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
Time Series Segmentation and Statistical Characterisation of the Spanish Stock Market Ibex-35 Index.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
IEEE Trans. Cybern., 2013
Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem.
Soft Comput., 2013
PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis.
Neural Process. Lett., 2013
Neural Comput., 2013
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems.
Neurocomputing, 2013
Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles.
Neurocomputing, 2013
Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks.
Expert Syst. Appl., 2013
Eng. Appl. Artif. Intell., 2013
Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks.
Artif. Intell. Medicine, 2013
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms.
Neural Comput. Appl., 2012
A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems.
Inf. Sci., 2012
Int. J. Pattern Recognit. Artif. Intell., 2012
Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification.
Neurocomputing, 2012
A multi-objective neural network based method for cover crop identification from remote sensed data.
Expert Syst. Appl., 2012
Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods.
Expert Syst. Appl., 2012
Multi-objective evolutionary algorithm for donor-recipient decision system in liver transplants.
Eur. J. Oper. Res., 2012
Distribution of the search of evolutionary product unit neural networks for classification
CoRR, 2012
Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection.
Appl. Soft Comput., 2012
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012
A System Learning User Preferences for Multiobjective Optimization of Facility Layouts.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012
Approaching System Administration as a Group Project in Computer Engineering Higher Education.
Proceedings of the International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions, 2012
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
2011
IEEE Trans. Neural Networks, 2011
Pattern Recognit., 2011
Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers.
Neural Process. Lett., 2011
Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem.
Neural Process. Lett., 2011
Evolutionary q-Gaussian radial basis function neural networks for multiclassification.
Neural Networks, 2011
MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks.
Neurocomputing, 2011
A two-stage algorithm in evolutionary product unit neural networks for classification.
Expert Syst. Appl., 2011
Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity.
Expert Syst. Appl., 2011
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology.
Appl. Soft Comput., 2011
Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus.
Appl. Soft Comput., 2011
Sound Source Identification in Vehicles Using a Combined Linear-Evolutionary Product Unit Neural Network Model.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011
Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011
Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011
Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection.
Proceedings of the New Challenges on Bioinspired Applications, 2011
Proceedings of the Advances in Computational Intelligence, 2011
Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation.
Proceedings of the Advances in Computational Intelligence, 2011
Numerical variable reconstruction from ordinal categories based on probability distributions.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
A preliminary study of ordinal metrics to guide a multi-objective evolutionary algorithm.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 2011 IEEE Workshop On Hybrid Intelligent Models And Applications, 2011
Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks.
IEEE Trans. Neural Networks, 2010
Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm.
Soft Comput., 2010
Int. J. Hybrid Intell. Syst., 2010
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology.
Evol. Intell., 2010
A logistic radial basis function regression method for discrimination of cover crops in olive orchards.
Expert Syst. Appl., 2010
Eur. J. Oper. Res., 2010
On the suitability of Extreme Learning Machine for gene classification using feature selection.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions.
Proceedings of the International Joint Conference on Neural Networks, 2010
Generalized Logistic Regression Models Using Neural Network Basis Functions Applied to the Detection of Banking Crises.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Evolutionary <i>q</i>-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Combined projection and kernel basis functions for classification in evolutionary neural networks.
Neurocomputing, 2009
Multinomial logistic regression and product unit neural network models: Application of a new hybrid methodology for solving a classification problem in the livestock sector.
Expert Syst. Appl., 2009
Logistic evolutionary product-unit neural networks: Innovation capacity of poor Guatemalan households.
Eur. J. Oper. Res., 2009
Proceedings of the Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira.s Scientific Legacy, 2009
Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Design of Artificial Neural Networks Using a Memetic Pareto Evolutionary Algorithm Using as Objectives Entropy versus Variation Coefficient.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Hybrid Multilogistic Regression by Means of Evolutionary Radial Basis Functions: Application to Precision Agriculture.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
2008
Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008
Robust confidence intervals applied to crossover operator for real-coded genetic algorithms.
Soft Comput., 2008
Neural Networks, 2008
Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Memetic Pareto Evolutionary Artificial Neural Networks for the Determination of Growth Limits of Listeria Monocytogenes.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher.
Proceedings of the Educational Data Mining 2008, 2008
Proceedings of the Educational Data Mining 2008, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Pattern Recognit., 2007
Improving crossover operator for real-coded genetic algorithms using virtual parents.
J. Heuristics, 2007
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007
Proceedings of the Computational and Ambient Intelligence, 2007
Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
2006
Hybridization of evolutionary algorithms and local search by means of a clustering method.
IEEE Trans. Syst. Man Cybern. Part B, 2006
Neural Networks, 2006
An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization.
Neural Networks, 2006
Artif. Intell. Medicine, 2006
Inteligencia Artif., 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2006
2005
Cooperative coevolution of artificial neural network ensembles for pattern classification.
IEEE Trans. Evol. Comput., 2005
Improving the Quantification of Highly Overlapping Chromatographic Peaks by Using Product Unit Neural Networks Modeled by an Evolutionary Algorithm.
J. Chem. Inf. Model., 2005
CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features.
J. Artif. Intell. Res., 2005
Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms.
Comput. Oper. Res., 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Heuristic Extraction of Rules in Pruned Artificial Neural Networks Models Used for Quantifying Highly Overlapping Chromatographic Peaks.
J. Chem. Inf. Model., 2004
2003
IEEE Trans. Neural Networks, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Application of Crossover Operators Based on Confidence Interval in Modeling Problems Using Real-Coding Genetic Algorithms.
Proceedings of the Current Topics in Artificial Intelligence, 2003
2002
Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks).
Neural Networks, 2002
Proceedings of the Parallel Problem Solving from Nature, 2002
Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2002
2001
Use of Pruned Computational Neural Networks for Processing the Response of Oscillating Chemical Reactions with a View to Analyzing Nonlinear Multicomponent Mixtures.
J. Chem. Inf. Comput. Sci., 2001
Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks.
Proceedings of the Connectionist Models of Neurons, 2001
Genetic algorithms with crossover based on confidence interval as an alternative to traditional nonlinear regression methods.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001
A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001
2000
Correction of Temperature Variations in Kinetic-Based Determinations by Use of Pruning Computational Neural Networks in Conjunction with Genetic Algorithms.
J. Chem. Inf. Comput. Sci., 2000
1998
Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods.
J. Chem. Inf. Comput. Sci., 1998
Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético.
Inteligencia Artif., 1998
1997
Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks.
J. Chem. Inf. Comput. Sci., 1997
Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics.
J. Chem. Inf. Comput. Sci., 1997
1992
Comparison Between Artificial Neural Networks and Classical Statsitical Methods in Pattern Recognition.
Proceedings of the IPMU '92, 1992