Zobrazeno 1 - 10
of 235
pro vyhledávání: '"Ernestina Menasalvas"'
Publikováno v:
IEEE Access, Vol 11, Pp 139147-139156 (2023)
When facing a classification problem, data science practitioners must search through an armory of methods. Often, practitioners are tempted to use off-the-shelf classifiers, including automated Machine Learning (AutoML) toolboxes; however, stand-alon
Externí odkaz:
https://doaj.org/article/8bb1af672d3949e1883a7cafc099c89d
Autor:
Lucia Prieto Santamaría, Juan Manuel Tuñas, Diego Fernández Peces-Barba, Almudena Jaramillo, Manuel Cotarelo, Ernestina Menasalvas, Antonio Conejo Fernández, Amalia Arce, Angel Gil de Miguel, Alejandro Rodríguez González
Publikováno v:
Human Vaccines & Immunotherapeutics, Vol 18, Iss 1, Pp 1-16 (2022)
Social media, and in particularly Twitter, can be a resource of enormous value to retrieve information about the opinion of general populaton to vaccines. The increasing popularity of this social media has allowed to use its content to have a clear p
Externí odkaz:
https://doaj.org/article/4fc64fb6e89443b5bb1a1cd324fde345
Autor:
Juan-Ignacio Caballero, Guillermo Cosarinsky, Jorge Camacho, Ernestina Menasalvas, Consuelo Gonzalo-Martin, Federico Sket
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 5933 (2023)
Ultrasonic non-destructive testing (UT) is a proficient method for detecting damage in composite materials; however, conventional manual testing procedures are time-consuming and labor-intensive. We propose a semi-automated defect segmentation method
Externí odkaz:
https://doaj.org/article/077dad698b0b44a786f52645f3d5b7ba
Autor:
Eduardo P. García del Valle, Gerardo Lagunes García, Lucía Prieto Santamaría, Massimiliano Zanin, Ernestina Menasalvas Ruiz, Alejandro Rodríguez-González
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract The ever-growing availability of biomedical text sources has resulted in a boost in clinical studies based on their exploitation. Biomedical named-entity recognition (bio-NER) techniques have evolved remarkably in recent years and their appl
Externí odkaz:
https://doaj.org/article/1a59a4ae3e8a47658867a982cc8edfda
Autor:
Lucía Prieto Santamaría, Esther Ugarte Carro, Marina Díaz Uzquiano, Ernestina Menasalvas Ruiz, Yuliana Pérez Gallardo, Alejandro Rodríguez-González
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 4559-4573 (2021)
Drug repurposing has become a widely used strategy to accelerate the process of finding treatments. While classical de novo drug development involves high costs, risks, and time-consuming paths, drug repurposing allows to reuse already-existing and a
Externí odkaz:
https://doaj.org/article/c0303d91fd004f15bcf18ddfd063e263
Autor:
Oswaldo Solarte Pabón, Orlando Montenegro, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas
Publikováno v:
PeerJ Computer Science, Vol 8, p e913 (2022)
Detecting negation and uncertainty is crucial for medical text mining applications; otherwise, extracted information can be incorrectly identified as real or factual events. Although several approaches have been proposed to detect negation and uncert
Externí odkaz:
https://doaj.org/article/ac703ac7176642a5a0bf18d5380a976e
Autor:
José M Castellano, Marek Majdan, In-Hwan Oh, John Kelleher, Saša Missoni, Natalija Novokmet, João Silva, Guy Fagherazzi, Marianne Van Der Sande, Silvia Riva, Joan B Soriano, David M. Pereira, Julio Ancochea, Michel Vaillant, Jörn Klein, Brecht Devleesschauwer, Patrick Soentjens, Ernestina Menasalvas, Justo Menéndez, Antigona Carmen Trofor, Olga Sánchez-Pernaute, Mihaela Lupse, Dora Buonfrate, Zubair Kabir, Miguel Górgolas, Paula Villares, Lucia Maria Lotrean, Lucía Llanos, Costas Tsiamis, Seval Akgün, Tamara Ursini, José L. Peñalvo, Jelena Dimnjaković, Marija Švajda, Tamara Poljičanin, Jelena Sarac, Enisa Ademović, Ana Lúcia Baltazar, Miran Čoklo, Paula Andrea Diaz Valencia, João C. Fernandes, Enrique Javier Gómez, Paul Hynds, Polychronis Kostoulas, Lucía Llanos Jiménez, Paul Nguewa, Georgie O’Sullivan, Miguel Reina Ortiz, Gloria Soriano, Joan B. Soriano, Fernando Spilki, Mary Elizabeth Tamang, Sabrina Van Ierssel, Jakov Vuković, José M. Castellano, James Cottam, Hanne Van Tiggelen, José Barberán, Mercedes Villareal, Nerea Ruiz del Árbol, Alberto Estirado, Alberto Blázquez Herranz, David Fernandez Lobón, Paloma Chausa, David M Pereira, Morteza Hosseini, Elizabeth Hunter, Brendan Palmer, Milena Man, Mira Florea, Andrei Tudor Cernomaz, Radu Adrian Crisan-Dabija, Cristina Grigorescu, João C Fernandes, Daria Rabarova, Adriana Krsakova, Jaroslava Brnova, Janka Prnova, Jaroslav Slany, Dominika Plancikova, Nisa Boukichou Abdelkader, Adrián Peláez, Elena Ávalos, Gorane Iturricastillo, Arnoldo Santos Oviedo, Sergio Luis Lima, Antonio Herrero, Pablo Minguez, Olympia Lioupi, Eleftherios Meletis, Konstantinos Pateras, Mustafa Asfari, Nicoletta De Santis, Petronille Bogaert, Koen Blot, Miriam Saso, Mathil Vandromme, Ivan Pristas, Marko Brkic, Luka Bočkor, Ivan Dolanc, Antonija Jonjić, Iva Šunić, Tugba Gürgen Erdogan, Süleyman Çetinkünar, Cenk Belibağlı, Kübra Demir, Mustafa Görür, Turgut Bulut, K R NayarSilvia Riva, Carlo Giordani, Petra Golin, Oh In-Hwan, Seok Jun Yoon, Lina Ruíz, Juan Pablo Pérez Bedoya, Oscar Ignacio Mendoza, Camilo Hincapie, Boris Rodriguez, Noël Barengo, Juliane Deise Fleck, Matheus Nunes Weber, Lejla Burnazović-Ristić, Semra Čavaljuga, Džan Ahmed Jesenković, Lejla Džananović
Publikováno v:
BMJ Open, Vol 11, Iss 11 (2021)
Externí odkaz:
https://doaj.org/article/c9e54ac90148496b8a6f0e5f43c36235
Autor:
Alfredo Madrid-García, Leticia León-Mateos, Esperanza Pato, Juan A Jover, Benjamín Fernández-Gutiérrez, Lydia Abasolo, Ernestina Menasalvas, Luis Rodríguez-Rodríguez
Publikováno v:
Therapeutic Advances in Musculoskeletal Disease, Vol 13 (2021)
Introduction: Rheumatic and musculoskeletal diseases (RMDs) have a significant impact on patients’ health-related quality of life (HRQoL) exacerbating disability, reducing independence and work capacity, among others. Predictors’ identification a
Externí odkaz:
https://doaj.org/article/ed8525d41f5842df8ea746a2b2523246
Autor:
María Torrente, Pedro A. Sousa, Roberto Hernández, Mariola Blanco, Virginia Calvo, Ana Collazo, Gracinda R. Guerreiro, Beatriz Núñez, Joao Pimentao, Juan Cristóbal Sánchez, Manuel Campos, Luca Costabello, Vit Novacek, Ernestina Menasalvas, María Esther Vidal, Mariano Provencio
Publikováno v:
Cancers, Vol 14, Iss 16, p 4041 (2022)
Background: Artificial intelligence (AI) has contributed substantially in recent years to the resolution of different biomedical problems, including cancer. However, AI tools with significant and widespread impact in oncology remain scarce. The goal
Externí odkaz:
https://doaj.org/article/b577f73207b442e9aeef8e0c3d946a56
Autor:
Andreas Philipp Hassler, Ernestina Menasalvas, Francisco José García-García, Leocadio Rodríguez-Mañas, Andreas Holzinger
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-17 (2019)
Abstract Background Increasing life expectancy results in more elderly people struggling with age related diseases and functional conditions. This poses huge challenges towards establishing new approaches for maintaining health at a higher age. An im
Externí odkaz:
https://doaj.org/article/f68e46b932f443d39a5a4ad7179f347f