Browsing by Author "Martínez Álvarez, Francisco"
Now showing items 1-20 of 47
-
Chapter of Book
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study
(Springer, 2014)Light Detection and Ranging (LiDAR) is a remote sensor able to extract vertical information from sensed objects. ...
-
Article
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
(Elsevier, 2015)Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-dimensional information. Environmental models ...
-
Presentation
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting
(Springer, 2016)A forecasting algorithm for big data time series is presented in this work. A nearest neighbours-based strategy is adopted ...
-
Article
A new approach based on association rules to add explainability to time series forecasting models
(ScienceDirect, 2023)Machine learning and deep learning have become the most useful and powerful tools in the last years to mine information ...
-
Article
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture
(Elsevier, 2022)Precision agriculture focuses on the development of site-specific harvest considering the variability of each crop ...
-
Article
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula
(MDPI, 2015)A previous definition of seismogenic zones is required to do a probabilistic seismic hazard analysis for areas of spread ...
-
Presentation
A preliminary study on deep transfer learning applied to image classification for small datasets
(Springer, 2020)A new transfer learning strategy is proposed for image classification in this work, based on an 8-layer convolutional ...
-
Chapter of Book
A Sensitivity Analysis for Quality Measures of Quantitative Association Rules
(Springer, 2013)There exist several fitness function proposals based on a combination of weighted objectives to optimize the discovery ...
-
Article
A Survey on Data Mining Techniques Applied to Energy Time Series Forecasting
(MDPI, 2015)Data mining has become an essential tool during the last decade to analyze large sets of data. The variety of techniques ...
-
Article
An evolutionary algorithm to discover quantitative association rules in multidimensional time series
(Springer, 2011)An evolutionary approach for finding existing relationships among several variables of a multidimensional time series ...
-
Article
Applications of Computational Intelligence in Time Series
(Hindawi, 2017) -
Article
Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration
(Elsevier, 2020)The vast amount of data stored nowadays has turned big data analytics into a very trendy research field. The Spark ...
-
Article
Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities
(MDPI, 2018)New technologies such as sensor networks have been incorporated into the management of buildings for organizations and ...
-
Presentation
Classification of Gene Expression Profiles: Comparison of K-means and Expectation Maximization Algorithms
(IEEE Computer Society, 2008)Biomedical research has been revolutionized by high throughput techniques and the enormous amount of data they are able ...
-
Chapter of Book
Computational Intelligence Techniques for Predicting Earthquakes
(Springer, 2011)Nowadays, much effort is being devoted to develop techniques that forecast natural disasters in order to take ...
-
Article
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
(Mary Ann Liebert, 2020)This study proposes a novel bioinspired metaheuristic simulating how the coronavirus spreads and infects healthy people. ...
-
Article
Data Science and Big Data in Energy Forecasting
(MDPI, 2018-11)This editorial summarizes the performance of the special issue entitled Data Science and Big Data in Energy Forecasting, ...
-
Article
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm
(Wiley, 2022)The safety operation and management of hydropower dam play a critical role in social-economic development and ensure ...
-
Presentation
Descubriendo Reglas de Asociación Numéricas entre Series Temporales
(Universidad de Sevilla, 2009)Este trabajo presenta el descubrimiento de reglas de asociación basadas en técnicas evolutivas para obtener relaciones ...
-
Chapter of Book
Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines
(2007)Breast cancer is one of the diseases causing the largest number of deaths among women. Its early detection has been proved ...