Browsing by Author "García Tejedor, Álvaro José"

Depósito Digital UFV

Now showing items 1-17 of 17

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)
A domain categorisation of vocabularies based on a deep learning classifier.
Nogales Moyano, Alberto; Sicilia, Miguel Ángel; García Tejedor, Álvaro José (Journal of Information Science, 2021)
A light method for data generation: a combination of Markov Chains and Word Embeddings.
Martínez García, Eva; Nogales Moyano, Alberto; Morales Escudero, Javier; García Tejedor, Álvaro José (Procesamiento del Lenguaje Natural, 2020)
A survey of deep learning models in medical therapeutic areas.
Nogales Moyano, Alberto; García Tejedor, Álvaro José; Monge Martín, Diana; Serrano Vara, Juan; Antón Rodríguez, Cristina (Artificial Intelligence in Medicine, 2021)
A tool for time management in the new European higher education system
Peñalba, Olga; García Tejedor, Álvaro José; Cerezo López, Yolanda; Álvarez, J. Andrés (2009-03-23)
An open-source Python library for self-organizing-maps.
García Tejedor, Álvaro José; Nogales Moyano, Alberto (Software Impacts, 2022)
ARQGAN: an evaluation of Generative Adversarial Networks’ approaches for automatic virtual restoration of Greek temples.
Nogales Moyano, Alberto; Delgado Martos, Emilio; Melchor, Ángel; García Tejedor, Álvaro José (Expert Systems with Applications, 2021)
Autonomic Management Architecture for Multi-HVAC Systems in Smart Buildings.
Aguilar, J.; Garcés Jiménez, Alberto; Gallego Salvador, Nuria; Gutiérrez de Mesa, José Antonio; Gómez Pulido, José Manuel; García Tejedor, Álvaro José (IEEE Access, 2019)
BERT Learns From Electroencephalograms About Parkinson's Disease: Transformer-Based Models for Aid Diagnosis.
Nogales Moyano, Alberto; García Tejedor, Álvaro José; Maitín, Ana María; Pérez Morales, Antonio; Del Castillo, María Dolores; Romero Muñoz, Juan Pablo (IEEE Access, 2022)
Down-Town: Misterio en el metro. Un serious game dirigido a personas con síndrome de Down.
Bonete Román, Saray; Ruano, Oscar; García Tejedor, Álvaro José (2015)
Game Analytics Evidence-Based Evaluation of a Learning Game for Intellectual Disabled Users.
Rus Cano, Ana; García Tejedor, Álvaro José; Alonso Fernández, Cristina; Fernández Manjón, Baltasar (IEEE Access, 2019)
Genetic and Swarm Algorithms for Optimizing the Control of Building HVAC Systems Using Real Data: A Comparative Study.
Garces Jimenez, Alberto; Gomez Pulido, Jose Manuel; Gallego Salvador, Nuria; García Tejedor, Álvaro José (Mathematics, 2021)
Herramienta software de redes neuronales para el aprendizaje no supervisado.
Hoffman García, Oliver (Universidad Francisco de Vitoria, 2014)
Machine learning approaches for detecting parkinson’s disease from EEG analysis: a systematic review.
Maitín, Ana María; García Tejedor, Álvaro José; Romero Muñoz, Juan Pablo (Applied Sciences, 2020)
Network analysis for food safety: Quantitative and structural study of data gathered through the RASFF system in the European Union.
Nogales Moyano, Alberto; Mora-Cantallops, Marçal; Díaz Morón, Rodrigo; García Tejedor, Álvaro José (Food Control, 2022)
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)
Using Game Learning Analytics for Validating the Design of a Learning Game for Adults with Intellectual Disabilities.
Rus Cano, Ana; Fernández Manjón, Baltasar; García Tejedor, Álvaro José (British Journal of Educational Technology, 2018)