INTELIGENCIA ARTIFICIAL
Fachbereich
Universidad Politécnica de Madrid
Madrid, EspañaPublikationen in Zusammenarbeit mit Forschern von Universidad Politécnica de Madrid (50)
2024
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BeeGOns!: A Wireless Sensor Node for Fog Computing in Smart City Applications
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 43, Núm. 1, pp. 171-175
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From cloud and fog computing to federated-fog computing: A comparative analysis of computational resources in real-time IoT applications based on semantic interoperability
Future Generation Computer Systems, Vol. 159, pp. 134-150
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Generative Adversarial Networks for text-to-face synthesis & generation: A quantitative–qualitative analysis of Natural Language Processing encoders for Spanish
Information Processing and Management, Vol. 61, Núm. 3
2023
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A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation
Information Fusion, Vol. 91, pp. 173-186
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Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Information Fusion, Vol. 100
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Pubmed Journal Recommendation System dataset
Zenodo
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Pubmed Journal Recommendation System dataset
Zenodo
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TINTO: Converting Tidy Data into image for classification with 2-Dimensional Convolutional Neural Networks
SoftwareX, Vol. 22
2022
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Bluetooth indoor localization Dataset
Zenodo
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Bluetooth indoor localization Dataset
Zenodo
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Phenotypes of Non-Alcoholic Fatty Liver Disease (NAFLD) and All-Cause Mortality: Unsupervised Machine Learning Analysis of NHANES III
BMJ Open, Vol. 12, Núm. 11
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Stellar dating using chemical clocks and Bayesian inference
Astronomy and Astrophysics, Vol. 660
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Street Images Classification According to COVID-19 Risk in Lima, Peru: a Convolutional Neural Networks Feasibility Analysis
BMJ Open, Vol. 12, Núm. 9
2021
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An Inclusive and Sustainable Artificial Intelligence Strategy for Europe Based on Human Rights
IEEE Technology and Society Magazine, Vol. 40, Núm. 1, pp. 46-54
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Artificial Intelligence for a Fair, Just, and Equitable World
IEEE Technology and Society Magazine, Vol. 40, Núm. 1, pp. 19-24
2020
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Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Neurocomputing, Vol. 410, pp. 237-270
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The CARMENES search for exoplanets around M dwarfs: A deep learning approach to determine fundamental parameters of target stars
Astronomy and Astrophysics, Vol. 642
2018
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Estimates of the atmospheric parameters of M-type stars: A machine-learning perspective
Monthly Notices of the Royal Astronomical Society, Vol. 476, Núm. 1, pp. 1120-1139
2017
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Evaluation of data compression techniques for the inference of stellar atmospheric parameters from high-resolution spectra
Monthly Notices of the Royal Astronomical Society, Vol. 465, Núm. 4, pp. 4556-4571
2015
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Computation meets neuroscience
Neurocomputing