Alberto Nogales
Orcid: 0000-0003-4951-8102
According to our database1,
Alberto Nogales
authored at least 27 papers
between 2013 and 2025.
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Bibliography
2025
Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach.
J. Big Data, December, 2025
Benefits of Feature Extraction and Temporal Sequence Analysis for Video Frame Prediction: An Evaluation of Hybrid Deep Learning Models.
CoRR, August, 2025
Discovering the influence of personal features in psychological processes using Artificial Intelligence techniques: the case of COVID19 lockdown in Spain.
CoRR, March, 2025
Application of large language models in clinical record correction: a comprehensive study on various retraining methods.
J. Am. Medical Informatics Assoc., 2025
2024
Enhancing breast cancer diagnosis with deep learning and evolutionary algorithms: A comparison of approaches using different thermographic imaging treatments.
Multim. Tools Appl., April, 2024
A systematic review of the application of deep learning techniques in the physiotherapeutic therapy of musculoskeletal pathologies.
Comput. Biol. Medicine, 2024
2023
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms.
J. Intell. Inf. Syst., December, 2023
A deep learning framework for audio restoration using Convolutional/Deconvolutional Deep Autoencoders.
Expert Syst. Appl., November, 2023
J. Inf. Sci., June, 2023
Discriminating and understanding brain states in children with epileptic spasms using deep learning and graph metrics analysis of brain connectivity.
Comput. Methods Programs Biomed., April, 2023
EEGraph: An open-source Python library for modeling electroencephalograms using graphs.
Neurocomputing, 2023
A Systematic Review of Electroencephalography Open Datasets and Their Usage With Deep Learning Models.
IEEE Access, 2023
2022
BERT Learns From Electroencephalograms About Parkinson's Disease: Transformer-Based Models for Aid Diagnosis.
IEEE Access, 2022
How Do Thermography Colors Influence Breast Cancer Diagnosis? A Hybrid Model of Convolutional Networks with a Weighted Average Evolutionary Algorithm.
Proceedings of the Intelligent Systems and Applications, 2022
2021
ARQGAN: An evaluation of generative adversarial network approaches for automatic virtual inpainting restoration of Greek temples.
Expert Syst. Appl., 2021
Artif. Intell. Medicine, 2021
2020
A light method for data generation: a combination of Markov Chains and Word Embeddings.
Proces. del Leng. Natural, 2020
Food safety risk prediction with Deep Learning models using categorical embeddings on European Union data.
CoRR, 2020
2019
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019
2018
Proceedings of the Information Management and Big Data, 5th International Conference, 2018
2017
2016
Linking from Schema.org microdata to the Web of Linked Data: An empirical assessment.
Comput. Stand. Interfaces, 2016
2014
Combining VIVO and Google Scholar Data as Sources for CERIF Linked Data: A Case in the Agricultural Domain.
Proceedings of the 12th International Conference on Current Research Information Systems, 2014
2013
Proceedings of the Metadata and Semantics Research - 7th Research Conference, 2013