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antonio-manuel-duran-rosal
Durán-Rosal, Antonio Manuel
Personal Information
Position:
Becario
Research areas:
Uncategorized
Location:
Rabanales
Publications
A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks
Boosting ridge for the extreme learning machine globally optimised for classification and regression problems
Machine Learning Applications in Real-World Time Series Problems
Gramian Angular and Markov Transition Fields applied to Time Series Ordinal Classification
A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks
Generalised Triangular Distributions for ordinal deep learning: novel proposal and optimisation
An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction
A mixed distribution to fix the threshold for Peak-Over-Threshold wave height estimation
Gamifying the classroom for the acquisition of skills associated with Machine Learning: a two-year case study
Time series clustering based on the characterisation of segment typologies
Potenciando el perfil profesional Científico de Datos mediante dinámicas de competición
A new approach for optimal offline time-series segmentation with error bound guarantee
Ordinal classification of the affectation level of 3D-images in Parkinson diseases
Evolutionary artificial neural networks for accurate solar radiation prediction
A new approach for optimal time-series segmentation
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
Time series data mining: preprocessing, analysis, segmentation and prediction. Applications
On the use of evolutionary time series analysis for segmenting paleoclimate data
Efficient Fog Prediction with Multi-objective Evolutionary Neural Networks
Simultaneous optimisation of clustering quality and approximation error for time series segmentation
A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series
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
An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series
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
Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation
Multiobjective time series segmentation by improving clustering quality and reducing approximation error
A coral reef optimization algorithm for wave height time series segmentation problems
Clustering de Series Temporales basado en la Extracción de Tipologías de Segmentos
Massive missing data reconstruction in ocean buoys with evolutionary product unit neural networks
Hybridization of neural network models for the prediction of extreme significant wave height segments
Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines
On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm
Time Series Representation by a Novel Hybrid Segmentation Algorithm
Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm
Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series
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Projects
Clasificación ordinal basada en aprendizaje profundo y neuro-evolución (ORCA-DEEP)
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
Aprendizaje del reconocimiento de emociones en personas con espectro autista.
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