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An approach to new methods for digital signal processing on optical mapping sequences and electrical mapping
Conference ObjectAbstract: Optical Mapping (OM) sequences represent a very useful tool for registering cardiac bioelectric actiPalabras claves:Autores:Caulier-Cisterna R.P., GarcÍa-Alberola A., Garcia-Quintanilla J., Jose Luis Rojo-Álvarez, Mora-Jimnez I., Moreno-Planas J., Muoz-Romero S., Sanromán-Junquera M., Soguero-Ruiz C.Fuentes:scopusDeep learning and big data in healthcare: A double review for critical beginners
ReviewAbstract: In the last few years, there has been a growing expectation created about the analysis of large amouPalabras claves:BIG DATA, DATABASES, deep learning, electrocardiogram, Healthcare, Machine learning, MIMIC, Review, Statistical learningAutores:Bote-Curiel L., Guerrero-Curieses A., Jose Luis Rojo-Álvarez, Muoz-Romero S.Fuentes:scopusEvent Analysis on Power Communication Networks with Big Data for Maintenance Forms
ArticleAbstract: High-power electric grid networks require extreme reliability in their associated telecommunicationPalabras claves:BIG DATA, high power, network troubleshooting, power communication, Telecommunication maintenanceAutores:Castro-Fernandez M., Feijoo-Martinez J.R., Jose Luis Rojo-Álvarez, Muoz-Romero S., Soguero-Ruiz C.Fuentes:scopusMultiparametric monitoring in equatorian tomato greenhouses (I): Wireless sensor network benchmarking
ArticleAbstract: In recent years, attention has been paid to wireless sensor networks (WSNs) applied to precision agrPalabras claves:Digimesh, Greenhouse, Libeliumtm, Tomato, WiFi, Wireless Sensor Networks, ZIGBEEAutores:César A. Naranjo, David Rivas-Lalaleo, Jose Luis Rojo-Álvarez, Mary Sandoval-Moreno, MAYRA ERAZO-RODAS, Mónica Karel Huerta, Muoz-Romero S.Fuentes:googlescopusOn the Black-Box Challenge for Fraud Detection Using Machine Learning (II): Nonlinear Analysis through Interpretable Autoencoders
ArticleAbstract: Artificial intelligence (AI) has recently intensified in the global economy due to the great competePalabras claves:Autoencoders, cbkp_redit fraud detection, Explainable machine learning, interpretabilityAutores:Chaquet-Ulldemolins J., Gimeno-Blanes F.J., Jose Luis Rojo-Álvarez, Moral-Rubio S., Muoz-Romero S.Fuentes:scopusInformative variable identifier: Expanding interpretability in feature selection
ArticleAbstract: There is nowadays an increasing interest in discovering relationships among input variables (also caPalabras claves:classification, Explainable machine learning, feature selection, interpretability, ResamplingAutores:Gorostiaga A., Jose Luis Rojo-Álvarez, Mora-Jimnez I., Muoz-Romero S., Soguero-Ruiz C.Fuentes:scopusSpatial-temporal signals and clinical indices in electrocardiographic imaging (I): Preprocessing and bipolar potentials
ArticleAbstract: During the last years, Electrocardiographic Imaging (ECGI) has emerged as a powerful and promising cPalabras claves:Cardiac indices, Electrocardiographic imaging, fragmentation, infarction, Signal processing, Spatial-temporal processingAutores:Blanco-Velasco M., Caulier-Cisterna R.P., GarcÍa-Alberola A., Goya-Esteban R., Jose Luis Rojo-Álvarez, Muoz-Romero S., Sanromán-Junquera M.Fuentes:scopus