Hervás-Martínez, César

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Hervás-Martínez, César

Personal Information
Position:	Catedrático de Universidad
Research areas:	Uncategorized

Location:	Rabanales
Publications
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds UTILIDAD DEL GENDER-EQUITY MODEL FOR LIVER ALLOCATION (GEMA) EN UN CONTEXTO DE ACORTAMIENTO DE LA LISTA DE ESPERA DE TRASPLANTE HEPÁTICO A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks Fusion of standard and ordinal dropout techniques to regularise deep models Learning Ordinal–Hierarchical Constraints for Deep Learning Classifiers Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment Soft labelling based on triangular distributions for ordinal classification Error-Correcting Output Codes in the Framework of Deep Ordinal Classification Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2 Development and validation of the Gender-Equity Model for Liver Allocation (GEMA) to prioritise candidates for liver transplantation: a cohort study Activation functions for convolutional neural networks: proposals and experimental study Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment Performance of the gender-equity model for liver allocation (GEMA-Na) within the first 30 and 60 days of listing UTILIDAD DEL GENDER-EQUITY MODEL FOR LIVER ALLOCATION (GEMA) EN UN CONTEXTO DE ACORTAMIENTO DE LA LISTA DE ESPERA DE TRASPLANTE HEPÁTICO A Dictionary-Based Approach to Time Series Ordinal Classification Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors Gramian Angular and Markov Transition Fields applied to Time Series Ordinal Classification A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data One month in advance prediction of air temperature from Reanalysis data with Explainable Artificial Intelligence techniques Emparejamiento donante-receptor durante la donación en asistolia controlada con perfusión regional normotérmica: papel de los clasificadores de machine learning como modelos predictivos de la supervivencia del injerto Corrección de la disparidad de género en el acceso al trasplante hepático Generalised Triangular Distributions for ordinal deep learning: novel proposal and optimisation Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor–Recipient Matching? A mixed distribution to fix the threshold for Peak-Over-Threshold wave height estimation Predictive Maintenance of ATM machines by modelling Remaining Useful Life with Machine Learning techniques Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data using Time Series Classification Artificial intelligence and liver transplantation: Looking for the bestdonor-recipient pairing Development and validation of the gender-equity model for liver allocation (GEMA) to prioritize liver transplant candidates COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain A novel deep ordinal classification approach for aesthetic quality control classification Unimodal regularisation based on beta distribution for deep ordinal regression Simultaneous short-term significant wave height and energy flux prediction using zonal multi-task evolutionary artificial neural networks An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients Time series clustering based on the characterisation of segment typologies The Role of Intraperitoneal Intraoperative Chemotherapy with Paclitaxel in the Surgical Treatment of Peritoneal Carcinomatosis from Ovarian Cancer—Hyperthermia versus Normothermia: A Randomized Controlled Trial New models for donor-recipient matching in lung transplantations Ordinal classification of the affectation level of 3D-images in Parkinson diseases A novel approach for global solar irradiation forecasting on tilted plane using hybrid evolutionary neural networks Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux Error-correcting output codes in the framework of deep ordinal classification Studying the effect of different Lp norms in the context of Time Series Ordinal Classification ReLU-based activations: analysis and experimental study for deep learning Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation Ordinal multi-class architecture for predicting wind power ramp events based on reservoir computing Evolutionary artificial neural networks for accurate solar radiation prediction Machine learning methods in organ transplantation Cumulative link models for deep ordinal classification Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport Validation of artificial neural networks to model the acoustic behaviour of induction motors Multi-task learning for the prediction of wind power ramp events with deep neural networks Prediction of convective clouds formation using evolutionary neural computation techniques Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals Short- and long-term energy flux prediction using Multi-Task Evolutionary Artificial Neural Networks Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks Ordinal versus nominal time series classification Time series ordinal classification via shapelets A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation Dynamical Memetization in Coral Reef Optimization Algorithms for Optimal Time Series Approximation Predicción de altura de ola mediante discretización basada en distribuciones utilizando clasificación ordinal On the use of evolutionary time series analysis for segmenting paleoclimate data Validation of multitask artificial neural networks to model desiccant wheels activated at low temperature Multi-objective evolutionary optimization using the relationship between F1 and accuracy metrics in classification tasks Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida Modelling survival by machine learning methods in liver transplantation: application to the UNOS dataset Ten Minutes Solar Irradiation Forecasting on Inclined Plane using Evolutionary Product Unit Neural Networks Deep Ordinal Classification Based on the Proportional Odds Model Exploiting synthetically generated data with semi-supervised learning for small and imbalanced datasets Efficient Fog Prediction with Multi-objective Evolutionary Neural Networks Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms Simultaneous optimisation of clustering quality and approximation error for time series segmentation Partial order label decomposition approaches for melanoma diagnosis Validation of artificial neural networks as a methodology for donor‐recipient matching for liver transplantation Time series forecasting by recurrent product unit neural networks A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters Detección y predicción de segmentos de altura de olas extremas Time series clustering based on the characterisation of segment typologies Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida Algoritmos de aprendizaje automático para predicción de niveles de niebla usando ventanas estáticas y dinámicas Clasificación ordinal de los grados de afectación de la enfermedad de Parkinson empleando imágenes de transportadores presinápticos de dopamina An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series Wind power ramp events ordinal prediction using minimum complexity echo state networks Prediction of low-visibility events due to fog using ordinal classification Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation Identifying market behaviours using European Stock Index time series by a hybrid segmentation algorithm Detection and prediction of segments containing extreme significant wave heights Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation Robust estimation of wind power ramp events with reservoir computing Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation Dynamically weighted Evolutionary Ordinal Neural Network for solving an Imbalanced Liver Transplantation Problem Advanced feature extraction and machine learning models to melanoma and Breslow index detection Image classification of synaptic dopamine transporters 123I-Ioflupane by machine learning techniques Image classification of synaptic dopamine transporters 123I-Ioflupane by machine learning techniques Clasificación de imágenes de transportadores sinápticos de dopamina con 123I-Ioflupano mediante técnicas de aprendizaje automático Multiobjective time series segmentation by improving clustering quality and reducing approximation error A coral reef optimization algorithm for wave height time series segmentation problems Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction Semi-Supervised Learning For Ordinal Kernel Discriminant Analysis Clustering de Series Temporales basado en la Extracción de Tipologías de Segmentos Oversampling the minority class in the feature space A review of classification problems and algorithms in renewable energy applications Massive missing data reconstruction in ocean buoys with evolutionary product unit neural networks Ordinal regression methods: survey and experimental study Nuevos modelos de asignación donante-receptor en el trasplante pulmonar Machine learning decomposition models for partial ordering problems: An application to melanoma severity classification Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery On the use of nominal and ordinal classifiers for the discrimination of states of development in fish oocytes Enforcement of the principal component analysis–extreme learning machine algorithm by linear discriminant analysis A study on multi-scale kernel optimisation via centered kernel-target alignment From outside to hyper-globalisation: an Artificial Neural Network ordinal classifier to measure the extent of globalisation Hybridization of neural network models for the prediction of extreme significant wave height segments Adapting Linear Discriminant Analysis to the Paradigm of Learning from Label Proportions Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem Time Series Representation by a Novel Hybrid Segmentation Algorithm Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being Classification of Melanoma Presence and Thickness Based on Computational Image Analysis Representing ordinal input variables in the context of ordinal classification Tackling the ordinal and imbalance nature of a melanoma image classification problem Graph-Based Approaches for Over-sampling in the context of Ordinal Regression Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm Classification of countries' progress toward a knowledge economy based on machine learning classification techniques Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency Evolutionary product unit logistic regression: The case of agrarian efficiency Classification of goat genetic resources using morphological traits. Comparison of machine learning techniques with linear discriminant analysis A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method Significant wave height and energy flux range forecast with machine learning classifiers Kernelising the Proportional Odds Model through Kernel Learning techniques Overcoming the linearity of Ordinal Logistic Regression adding non-linear covariates from Evolutionary Hybrid Neural Network models Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model An experimental comparison for the identification of weeds in sunflower crops via unmanned aerial vehicles and object-based analysis Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series Nonlinear Ordinal Logistic Regression using covariates obtained by Radial Basis Function neural networks models Ordinal regression neural networks based on concentric hyperspheres A guided data projection technique for classification of sovereign ratings: the case of European Union 27 Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier Classification of EU countries' progress towards sustainable development based on ordinal regression techniques Addressing remitting behavior using an ordinal classification approach Metrics to guide a multi-objective evolutionary algorithm for ordinal classification An Evolutionary Neural System for incorporating Human Expert Knowledge into the UA-FLP Projection based ensemble learning for ordinal regression Rating the Rich: An Ordinal Classification to Determine Which Rich Countries are Helping Poorer Ones the Most An organ allocation system for liver transplantation based on ordinal regression Use of artificial intelligence as an innovative donor-recipient matching model for liver transplantation: Results from a multicenter Spanish study Evaluation of centred kernel-target alignment for multi-scale kernel optimisation Time series segmentation and statistical characterisation of the Spanish stock market Ibex-35 index Object-Based Image Classification of Summer Crops with Machine Learning Methods Incorporating privileged information to improve manifold ordinal regression Learning Kernel Label Decompositions for Ordinal Classification Problems Time series segmentation of paleoclimate tipping points by an evolutionary algorithm Log-gamma distribution optimisation via maximum likelihood for ordered probability estimates Utilidad de los modelos de aprendizaje automático para la predicción de la recidiva del hepatocarcinoma tras el trasplante hepático Addressing the EU sovereign ratings using an ordinal regression approach Negative Correlation Ensemble Learning for Ordinal Regression Exploitation of Pairwise Class Distances for Ordinal Classification Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks Generalised Gaussian Radial Basis Function Neural Networks Ordinal and nominal classification of wind speed from synoptic pressure patterns Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles Validación externa de un modelo de asignación de redes neuronales en la asignación donante-receptor en trasplante hepático Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems An Extended Approach of a Two-Stage Evolutionary Algorithm in Artificial Neural Networks for Multiclassification Tasks Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping Evolutionary ordinal extreme learning machine Estudio comparativo de distintos métodos de umbral en regresión ordinal Synthetic over-sampling in the empirical feature space PCA-ELM: A Robust and Pruned Extreme Learning Machine approach based on Principal Component Analysis Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment Borderline kernel based over-sampling A n-spheres based synthetic data generator for supervised classification Can machine learning techniques help to improve the Common Fisheries Policy? Adressing Remitting Behavior Using an Ordinal Classification Approach Asignación de órganos en trasplante hepático mediante regresión ordinal Biometeorological and autoregressive indices for predicting olive pollen intensity Year clustering analysis for modelling olive flowering phenology Multi-Objective Evolutionary Algorithm for Donor-Recipient Decision System in Liver Transplants Evolutionary Neural Network Classifiers for Monitoring Research, Development and Innovation Performance in European Union Member States A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems A structural distance based crossover for neural network classifiers Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for Binary Classification Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions An Experimental Study of Different Ordinal Regression Methods and Measures Permanent Disability Classification by Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms Noise prediction of a diesel engine fueled with olive pomace oil methyl ester blended with diesel fuel Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology An ensemble approach for ordinal threshold models applied to liver transplantation Evolutionary Generalized Radial Basis Function Neural Networks for improving prediction accuracy in gene classification using feature selection Approaching system administration as a group project in computer engineering higher education Memetic Multi-Objective Algorithm based on Differential Evolution to Design Artificial Neural Networks: Applications (New trends on intelligent systems and soft computing) Multiobjective Pareto Ordinal Classification for Predictive Microbiology Non-linear multiclassifier model based on Artificial Intelligence to predict Research and Development Performance in European Countries An ordinal regression approach for the Unequal Area Facility Layout Problem Técnicas de clasificación ordinal aplicadas a un problema de distribución en planta A system learning user preferences for multiobjective optimization of facility layouts Hybrid Multi-objective Machine Learning Classification in Liver Transplantation A multi-objective neural network based method for cover crop identification from remote sensed data Numerical variable reconstruction from ordinal categories based on probability distributions A Preliminary Study of Ordinal Metrics to Guide a Multi-Objective Evolutionary Algorithm Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks Weighting efficient Accuracy and Minimum Sensitivity for evolving multi-class classifiers Hybrid Artificial Neural Networks: Models, Algorithms and Data A dynamic over-sampling procedure based on sensitivity for multi-class problems Neuro-logistic models based on Evolutionary Generalized Radial Basis Function for the microarray gene expression classification problem MELM-GRBF: A modified version of the Extreme Learning Machine for Generalized Radial Basis Function Neural Networks Evolutionary q-Gaussian Radial Basis Functions Neural Networks for Multi-Classification Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification Permanent Disability Classification using Hybrid Neuro-Logistic Regression Models Ordinal classification of depression spatial hot-spots of prevalence Sound source identification in vehicles using a combined Linear-Evolutionary Product Unit Neural Network model Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation Donor-recipient matching in liver transplantation based on a rule-system built on a multiobjective artificial neural network Donor-recipient matching in liver transplantation based on a rule-system built on a multiobjective artificial neural network Donor-recipient matching in liver transplantation based on a rule-system built on a multiobjective artificial neural network Aplicación de redes neuronales artificiales multiobjetivo en el emparejamiento donante-receptor en trasplante hepático A two-stage algorithm in evolutionary product unit neural networks for classification Selecting the best Artificial Neural Network model from a Multi-Objective Differential Evolution Pareto front Identification of sound for Pass-by Noise test in vehicles using Generalized Gaussian Radial Basis Function Neural Networks Memetic Evolutionary Multi-Objective Neural Network Classifier to Predict Graft Survival in Liver Transplant Patients Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology GRUPO DE INVESTIGACIÓN TIC-148 Evaluating the Performance of Evolutionary Extreme Learning Machines by a Combination of Sensitivity and Accuracy Measures On the suitability of Extreme Learning Machine for gene classification using feature selection Designing Multilayer Perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm Evolutionary Learning using a Sensitivity-Accuracy Approach for Classification Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification Evolutionary q-Gaussian Radial Basis Functions for improving prediction accuracy of gene classification using feature selection Aprendizaje hibrido de redes neuronales q-Gaussianas en clasificación binaria Classification by Evolutionary Generalized Radial Basis Functions Methodology for the recognition and diagnosis of students performance by discriminant analisys and artificial neural networks Sensitivity Versus Accuracy in Multiclass Problems Using Memetic Pareto Evolutionary Neural Networks Learning Artificial Neural Networks Multiclassifiers by Evolutionary Multiobjective Differential Evolution Guided by Statistical Distributions E}studio de un Modelo de Ensemble formado por los Extremos del Frente de Pareto en Algoritmos Evolutivos Multi-objetivo Utilizando la Técnica {TOPSIS Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers Predicción a Corto Plazo de la Velocidad del Viento en Parques Eólicos Mediante Redes Evolutivas de Unidades Producto Development of a multi-classification neural network model to determine the microbial growth/no growth interface Hybrid Pareto Differential Evolutionary Artificial Neural Networks to determined growth multi-classes in Predictive Microbiology Generalized logistic regression models using neural network basis functions applied to the detection of banking crises Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises Income prediction in the agrarian sector using product unit neural networks A logistic radial basis function regression method for discrimination of cover crops in olive orchards MultiLogistic Regression using Initial and Radial Basis Function covariates A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks Classification by Evolutionary Generalized Radial Basis Functions Memetic Pareto Differential Evolution for designing Artificial Neural Networks in Multiclassification Problems using Cross-Entropy versus Sensitivity Ensembles de redes neuronales construidos mediante algoritmos híbridos multiobjetivo para optimizar la precisión y la sensitividad Design of Artificial Neural Networks using a Memetic Pareto Evolutionary Algorithm using as objectives Entropy versus Variation Coefficient Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction Logistic evolutionary product-unit neural networks: Innovation capacity of poor Guatemalan households 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-Oriented Monte-Carlo DEA: Technical Efficiency Assessment of the Agrarian Sector Hybrid multilogistic regression by means of evolutionary radial basis functions: application to precision agriculture Hibridación de Algoritmos de Aprendizaje para Modelos Neurologísticos aplicados a la Clasificación de Cubiertas Vegetales Structural simplification of hybrid neuro-logistic regression models in multispectral analysis of remote sensed data Evolutionary Learning by a Sensitivity-Accuracy Approach for Multi-class Problems Multilogistic Regression by Product Units Multilogistic Regression by means of Evolutionary Product-Unit Neural Networks Evolutionary Product-Unit Neural Networks Classifiers Robust confidence intervals applied to crossover operator for real-coded genetic algorithms JCLEC: A Java Framework for Evolutionary Computing Multilogistic regression by evolutionary neural network as a classification tool to discriminate highly overlapping signals: Qualitative investigation of volatile organic compounds in polluted waters Memetic Pareto Evolutionary Artificial Neural Networks for the determination of growth limits of Listeria Monocytogenes Feature Selection for Hybrid Neuro-Logistic Regression applied to Classification of Remote Sensed Data Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data Mapping sunflower yield as affected by Ridolfia segetum patches and elevation by applying Evolutionary Product Unit Neural Networks to remote sensed data Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks Regresión logística multiclase utilizando funciones de base evolutivas de tipo proyección Improving crossover operator for real-coded genetic algorithms using virtual parents Evolutionary Combining of Basis Function Neural Networks for Classification Aprendizaje mediante la hibridación de técnicas heurísticas y estadísticas de optimización en regresión logística binaria Logistic Regression using covariates obtained by Product Unit Neural Networks models Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification Distribution of the Search of Evolutionary Product Unit Neural Networks for Classification Distribución de Modelos de Redes Neuronales Evolutivas de Unidades Producto para Clasificación Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks Clasificación mediante la Evolución de Modelos Híbridos de Redes Neuronales Memetic Algorithm Based Artificial Multiplicative Neural Model Selection for Resolving Multi-Component Mixtures Based On Dynamic Responses Combining classification and regression approaches for the quantification of highly overlapping capillary electrophoresis peaks by using evolutionary sigmoidal and product unit neural networks Product unit neural network models for predicting the growth limits of Listeria monocytogenes Searching for new mathematical growth model approaches for Listeria monocytogenes Improving Microbial Growth Prediction by Product Unit Neural Network Evolutionary combined neural networks for modelling the growth boundaries for a five strain Staphylococcus cocktail against temperature and pH and water activity Algoritmos de aprendizaje evolutivo y estadístico para la determinación de mapas de malas hierbas utilizando técnicas de teledetección Predicción de mapas de cosecha de girasol infestado de Ridolfia segetum en imágenes remotas mediante Redes Neuronales Evolutivas de Unidad Producto Hybridation of evolutionary algorithms and local search by means of a clustering method An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization Evolutionary Product Unit based Neural Networks for Regression Evolutionary Product-Unit Neural Networks for Classification Classification by means Evolutionary Product-Unit Neural Networks Rule Mining with GBGP to improve web-based adaptive educational systems An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests Elección de Operadores Lógicos para la Inducción de Conocimiento Comprensible Performance of Response Surface model for prediction of Leuconostoc mesenteroides growth parameters under different experimental conditions Cooperative coevolution of artificial neural network ensembles for pattern classification CIXL2: a crossover operator for evolutionary algorithms based on population features Analyzing the statistical features of CIXL2 crossover offspring Memetic algorithms to product-unit neural networks for regresión Regresión no lineal mediante la evolución de modelos híbridos de redes neuronales Rule discovery in web-based educational systems using grammar-based genetic programming Operadores de cruce por intervalo de confianza en problemas de modelado utilizando algoritmos genéticos con codificación real Influencia del operador de cruce en la optimización de funciones con restricciones usando métodos de penalización Influencia de la elección de operadores lógicos en la comprensibilidad del conocimiento inducido Induction of classification rules with grammar-based genetic programming Improving the Quantification of Highly Overlapping Chromatographic Peaks by Using Product Unit Neural Networks Modeled by an Evolutionary Algorithm Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms Algoritmo Evolutivo para el reconocimiento de funciones de base potencial Un estudio empírico preliminar sobre los test estadísticos más habituales en el aprendizaje automático Application of crossover operators based on confidence interval in modelling problems using real-coding genetic algorithms Confidence interval based crossover applied to neural network evolution Optimización de funciones con óptimos en los bordes del dominio mediante algoritmos genéticos con codificación real Confidence interval based crossover using L1 norm localization estimator for real-coded genetic algorithms Modelado de Sistemas de crecimiento microbiano mediante redes neuronales evolutivas [View Less]
Projects
Clasificación ordinal basada en aprendizaje profundo y neuro-evolución (ORCA-DEEP) Modelo de emparejamiento donante-receptor en trasplante hepático mediante Inteligencia Artificial con donantes en asistolia Métodos de Aprendizaje Profundo en clasificación ORDINAL (MAP-ORDINAL) Aprendizaje dinámico de modelos de curvas de infectados y de número de camas hospitalarias y camas UCI ocupadas por COVID-19 en Andalucía mediante técnicas estadísticas y de Inteligencia Artificial Modelos de Aprendizaje de Máquina para la determinación óptima de la Supervivencia y la Asignación Donante/REceptor en trasplante hepático. MASS-ALLOCATION [View All]