Browsing by Author "Martínez Ballesteros, María del Mar"
Now showing items 1-20 of 55
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Article
A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia
(MDPI, 2023-02)Renewable energies, such as solar and wind power, have become promising sources of energy to address the increase in ...
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Presentation
A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal
(Association for Computing Machinery, 2023-03)The year 2022 was the driest year in Portugal since 1931 with 97% of territory in severe drought. Water is especially ...
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Presentation
A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma
(SpringerLink, 2023-08)Sarcomas are rare mesodermal tumors of heterogeneous nature and have a higher incidence in children. The relative 5-year ...
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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 ...
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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 ...
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Article
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting
(Springer Nature, 2023)Ensuring the optimal performance of power transformers is a laborious task in which the insulation system plays a vital ...
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Presentation
A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia
(Springer Link, 2023-08)Renewable energies are currently experiencing promising growth as an alternative solution to minimize the emission of ...
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Article
A new treatment for sarcoma extracted from combination of miRNA deregulation and gene association rules
(Springer Nature, 2023) -
Presentation
A novel approach to discover numerical association based on the Coronavirus Optimization Algorithm
(Association for Computing Machinery, 2022-04)The disease caused by the SARS-CoV-2 (COVID-19) has affected millions of people around the world since its detection in ...
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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 ...
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Article
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation
(Elsevier, 2017)Breast cancer is the most common cause of cancer death in women. Today, post-transcriptional protein products of the genes ...
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Presentation
An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark
(Springer, 2016)K-Means and Bisecting K-Means clustering algorithms need the optimal number into which the dataset may be divided. Spark ...
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Article
An approach to validity indices for clustering techniques in Big Data
(Springer, 2018)Clustering analysis is one of the most used Machine Learning techniques to discover groups among data objects. Some ...
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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 ...
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Chapter of Book
Analysis of Measures of Quantitative Association Rules
(Springer, 2011)This paper presents the analysis of relationships among different interestingness measures of quality of association rules ...
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Article
Analysis of the evolution of the Spanish labour market through unsupervised learning
(Institute of Electrical and Electronics Engineers (IEEE), 2019)Unemployment in Spain is one of the biggest concerns of its inhabitants. Its unemployment rate is the second highest in ...
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Article
Applications of Computational Intelligence in Time Series
(Hindawi, 2017) -
Presentation
Aproximación al índice externo de validación de clustering basado en chi cuadrado
(Asociación Española para la Inteligencia Artificial (AEPIA), 2018)El clustering es una de las técnicas más utilizadas en minería de datos. Tiene como objetivo principal agrupar datos en ...
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Presentation
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation
(Springer Link, 2023-08)The quality of university teaching is essential for the success of students and the academic excellence of an educational ...
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Article
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
(Elsevier, 2020)Breast cancer is the most frequent cancer in women and the second most frequent overall after lung cancer. Although the ...