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cesar-hervas-martinez
Hervás-Martínez, César
Personal Information
Position:
Catedrático de Universidad
Research areas:
Uncategorized
Location:
Rabanales
Publications
Efficacy of systemic Chemotherapy on high-risk stage II and III Mucnious colon cancer. CHEMUCCA study part I
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target
EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height
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
TOP-002 Validation of the gender-equity model for liver allocation (GEMA) in a nationwide cohort of liver transplant candidates in Spain
OS-024 The gender-equity model for liver allocation built on artificial intelligence (GEMA-AI) improves outcome predictions among liver transplant candidates
Energy Flux Prediction Using an Ordinal Soft Labelling Strategy
Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm
O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification
Age Estimation Using Soft Labelling Ordinal Classification Approaches
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
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
Activation functions for convolutional neural networks: proposals and experimental study
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
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
GRUPO DE INVESTIGACIÓN TIC-148
Sensitivity Versus Accuracy in Multiclass Problems Using Memetic Pareto Evolutionary Neural Networks
Evaluating the Performance of Evolutionary Extreme Learning Machines by a Combination of Sensitivity and Accuracy Measures
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
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
On the suitability of Extreme Learning Machine for gene classification using feature selection
Methodology for the recognition and diagnosis of students performance by discriminant analisys and artificial 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
Hybrid Pareto Differential Evolutionary Artificial Neural Networks to determined growth multi-classes in Predictive Microbiology
A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks
Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks
Classification by Evolutionary Generalized Radial Basis Functions
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
Structural simplification of hybrid neuro-logistic regression models in multispectral analysis of remote sensed data
MultiLogistic Regression using Initial and Radial Basis Function covariates
A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms
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
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
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
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
Evolutionary Learning by a Sensitivity-Accuracy Approach for Multi-class Problems
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
Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks
Improving crossover operator for real-coded genetic algorithms using virtual parents
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
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
Predicción de mapas de cosecha de girasol infestado de Ridolfia segetum en imágenes remotas mediante Redes Neuronales Evolutivas de Unidad Producto
Regresión logística multiclase utilizando funciones de base evolutivas de tipo proyección
Evolutionary Combining of Basis Function Neural Networks for Classification
Aprendizaje mediante la hibridación de técnicas heurísticas y estadísticas de optimización en regresión logística binaria
Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks
Clasificación mediante la Evolución de Modelos Híbridos de Redes Neuronales
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
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
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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
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