Lucentia researchers have just seen the release of two publications in June and July. Both articles, although different from each other, are located within the Balladeer and Aether-UA projects.
The first paper, entitled “A Data-Driven Methodology for Guiding the Selection of Preprocessing Techniques in a Machine Learning Pipeline”, was presented at the 35th International Conference on Advanced Information Systems Engineering. In this #paper, Jorge García, Alejandro Maté and Juan Carlos Trujillo, propose a novel #methodology for improving the selection of #preprocessing techniques, both from the point of view of the #MachineLearning model and the data characteristics.
The second article, entitled “Feature engineering of EEG applied to mental disorders: a systematic mapping study”, has been published in the scientific journal Applied Intelligence. The authors, Sandra García, Jorge García, Miguel Ángel Teruel, Alejandro Maté and Juan Carlos Trujillo, by reviewing and analyzing more than 900 papers, present a #SystematicMappingStudy (SMS) focused on #FeatureEngineering from #EEG (electroencephalography) data used to identify #mentaldisorders. In addition, they collected, from each paper, the mental disorder analyzed, all the Feature Engineering techniques used and the #MachineLearning and #DeepLearning algorithms applied for classification.
Lucentia’s #Balladeer project, in which both publications are framed, seeks to use advances in #neuroscience to offer more accurate and effective tools in the #diagnosis of neuropsychiatric disorders, specifically #ADHD.
On the other hand, the #Aether-UA project, is part of the work between five Spanish universities whose main objective is to develop technological solutions for relevant problems of society in agriculture, medicine, #data analysis, smart cities, industry 4.0 and risk management.
To consult both papers, you can access “A Data-Driven Methodology for Guiding the Selection of Preprocessing Techniques in a Machine Learning Pipeline” and “Feature engineering of EEG applied to mental disorders: a systematic mapping study”.
The Balladeer project (PROMETEO/2021/088) is funded, within the Prometeo program, by the Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital de la Generalitat Valenciana. The Aether-UA project (PID2020-112540RB-C43) is funded by the Spanish Ministry of Science and Innovation.
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