| A survey of deep learning models in medical therapeutic areas A Nogales, AJ Garcia-Tejedor, D Monge, JS Vara, C Antón Artificial intelligence in medicine 112, 102020, 2021 | 58 | 2021 |
| A comparison of neural and non-neural machine learning models for food safety risk prediction with European Union RASFF data A Nogales, R Díaz-Morón, ÁJ García-Tejedor Food Control 134, 108697, 2022 | 29* | 2022 |
| Linking from Schema. org microdata to the Web of Linked Data: An empirical assessment A Nogales, MA Sicilia, S Sánchez-Alonso, E Garcia-Barriocanal Computer Standards & Interfaces 45, 90-99, 2016 | 18 | 2016 |
| ARQGAN: An evaluation of generative adversarial network approaches for automatic virtual inpainting restoration of Greek temples A Nogales, E Delgado-Martos, Á Melchor, ÁJ García-Tejedor Expert Systems with Applications 180, 115092, 2021 | 15* | 2021 |
| Network analysis for food safety: Quantitative and structural study of data gathered through the RASFF system in the European Union A Nogales, M Mora-Cantallops, RD Morón, ÁJ García-Tejedor Food Control 145, 109422, 2023 | 13 | 2023 |
| BERT learns from electroencephalograms about Parkinson’s disease: transformer-based models for aid diagnosis A Nogales, ÁJ García-Tejedor, AM Maitín, A Pérez-Morales, ... IEEE Access 10, 101672-101682, 2022 | 13 | 2022 |
| EEGraph: An open-source Python library for modeling electroencephalograms using graphs AM Maitin, A Nogales, P Chazarra, ÁJ García-Tejedor Neurocomputing 519, 127-134, 2023 | 11 | 2023 |
| Exploring the potential for mapping Schema. org microdata and the Web of Linked Data A Nogales, MA Sicilia, E García-Barriocanal, S Sánchez-Alonso Metadata and Semantics Research: 7th Research Conference, MTSR 2013 …, 2013 | 11 | 2013 |
| Measuring vocabulary use in the Linked Data Cloud A Nogales, M Angel Sicilia-Urban, E García-Barriocanal Online Information Review 41 (2), 252-271, 2017 | 9 | 2017 |
| Combining VIVO and Academic Search data as sources for CERIF Linked Data: a case in the agricultural domain A Nogales, MA Sicilia, B Jörg Procedia computer science 33, 266-271, 2014 | 7 | 2014 |
| A systematic review of the application of deep learning techniques in the physiotherapeutic therapy of musculoskeletal pathologies A Nogales, M Rodríguez-Aragón, ÁJ García-Tejedor Computers in Biology and Medicine 172, 108082, 2024 | 6 | 2024 |
| Discriminating and understanding brain states in children with epileptic spasms using deep learning and graph metrics analysis of brain connectivity A Nogales, ÁJ García-Tejedor, P Chazarra, A Ugalde-Canitrot Computer Methods and Programs in Biomedicine 232, 107427, 2023 | 6 | 2023 |
| An open-source Python library for self-organizing-maps ÁJ García-Tejedor, A Nogales Software Impacts 12, 100280, 2022 | 6 | 2022 |
| Analyzing the influence of diverse background noises on voice transmission: A deep learning approach to noise suppression A Nogales, J Caracuel-Cayuela, ÁJ García-Tejedor Applied Sciences 14 (2), 740, 2024 | 5 | 2024 |
| Enhancing breast cancer diagnosis with deep learning and evolutionary algorithms: A comparison of approaches using different thermographic imaging treatments A Nogales, F Perez-Lara, ÁJ García-Tejedor Multimedia Tools and Applications 83 (14), 42955-42971, 2024 | 4 | 2024 |
| A deep learning framework for audio restoration using Convolutional/Deconvolutional Deep Autoencoders A Nogales, S Donaher, Á García-Tejedor Expert Systems with Applications 230, 120586, 2023 | 4 | 2023 |
| Competencies in Higher Education: A Feature Analysis with Self-Organizing Maps A Nogales, GTÁ José, T Martín Sanz Noemi, de Dios Alija Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering …, 2019 | 4 | 2019 |
| Deep learning for describing breast ultrasound images with BI-RADS terms M Carrilero-Mardones, M Parras-Jurado, A Nogales, J Pérez-Martín, ... Journal of Imaging Informatics in Medicine 37 (6), 2940-2954, 2024 | 3 | 2024 |
| Automatic virtual reconstruction of historic buildings through deep learning. A critical analysis of a paradigm shift E Delgado-Martos, L Carlevaris, GI Sidola, C Pesqueira-Calvo, A Nogales, ... Beyond Digital Representation: Advanced Experiences in AR and AI for …, 2023 | 3 | 2023 |
| A light method for data generation: a combination of Markov Chains and Word Embeddings EM García, A Nogales, J Morales, ÁG Tejedor Procesamiento del Lenguaje Natural 64, 85-92, 2020 | 3 | 2020 |
Álvaro José García TejedorProfesor Titular, Universidad Francisco de VitoriaE-mail megerősítve itt: ceiec.es