Alberto Nogales

Orcid: 0000-0003-4951-8102

According to our database1, Alberto Nogales authored at least 22 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

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

A domain categorisation of vocabularies based on a deep learning classifier.
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
An open-source Python library for self-organizing-maps.
Softw. Impacts, 2022

GEMA: An open-source Python library for self-organizing-maps.
CoRR, 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

A survey of deep learning models in medical therapeutic areas.
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
Competencies in Higher Education: A Feature Analysis with Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

2018
On the Graph Structure of the Web of Data.
Int. J. Semantic Web Inf. Syst., 2018

Ontology Modeling of the Estonian Traffic Act for Self-driving Buses.
Proceedings of the Information Management and Big Data, 5th International Conference, 2018

2017
Measuring vocabulary use in the Linked Data Cloud.
Online Inf. Rev., 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
Exploring the Potential for Mapping Schema.org Microdata and the Web of Linked Data.
Proceedings of the Metadata and Semantics Research - 7th Research Conference, 2013


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