Browsing by Subject "Machine learning"

Depósito Digital UFV

Now showing items 1-9 of 9

A comparison of neural and non-neural machine learning models for food safety risk prediction with European Union RASFF data.
Nogales Moyano, Alberto; Díaz Morón, Rodrigo; García Tejedor, Álvaro José (Food control, 2022)
An open-source Python library for self-organizing-maps.
García Tejedor, Álvaro José; Nogales Moyano, Alberto (Software Impacts, 2022)
Autonomic Management of a Building's Multi-HVAC System Start-Up.
Aguilar, Jose; Garcés Jiménez, Alberto; Gómez Pulido, José Manuel; Rodríguez Moreno, María Dolores; Gutiérrez de Mesa, José Antonio; Gallego Salvador, Nuria (IEEE Access, 2021)
Commodity Prices after COVID-19: Persistence and Time Trends.
Monge Moreno, Manuel; Lazcano de Rojas, Ana (Risks, 2022)
Dataset: Roundabout Aerial Images for Vehicle Detection.
Puertas, Enrique; De las Heras, Gonzalo; Fernández-Andrés, Javier; Sánchez Soriano, Javier (Data, 2022)
Dataset: Variable Message Signal Annotated Images for Object Detection.
Puertas, Enrique; De las Heras, Gonzalo; Sánchez Soriano, Javier; Fernández Andrés, Javier (Data, 2022)
Medical Prognosis of Infectious Diseases in Nursing Homes by Applying Machine Learning on Clinical Data Collected in Cloud Microservices.
Garces Jimenez, Alberto; Calderón Gómez, Huriviades; Gómez Pulido, José M.; Gómez Pulido, Juan A.; Vargas Lombardo, Miguel; Castillo Sequera, José L.; Aguirre, Miguel Pablo; Sanz Moreno, José; Polo Luque, María Luz; Rodríguez Puyol, Diego (International Journal of Environmental Research and Public Health, 2021)
Phenotypic clustering of dilated cardiomyopathy patients highlights important pathophysiological differences.
Verdonschot, Job A.J.; Merlo, Marco; Domínguez, Fernando; Wang, Ping; Henkens, Michiel T.H.M.; Adriaens, Michiel E.; Hazebroek, Mark R.; Mase, Marco; Escobar, Luis E.; Cobas-Paz, Rafael; Derks, Kasper W.J.; Van den Wijngaard, Arthur; Krapels, Ingrid P.C.; Brunner, Han G.; Sinagra, Gianfranco; García Pavía, Pablo; Heymans, Stephane R.B. (European Heart Journal, 2020)
Survey of Machine Learning Techniques in the Analysis of EEG Signals for Parkinson’s Disease: A Systematic Review.
Maitín, Ana María; Romero Muñoz, Juan Pablo; García Tejedor, Álvaro José (Applied Sciences, 2022)