Ingeniería informática
Disciplina temática
Universidad de Oviedo
Oviedo, EspañaUniversidad de Oviedo-ko ikertzaileekin lankidetzan egindako argitalpenak (57)
2024
2023
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Editorial: Special issue HAIS20
Logic Journal of the IGPL, Vol. 31, Núm. 2, pp. 219-222
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Editorial: Special issue SOCO 2020-IGPL
Logic Journal of the IGPL
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Is the Cooling Vest an Ergogenic Tool for Physically Active Individuals? Assessment of Perceptual Response, Thermo-Physiological Behavior, and Sports Performance: A Systematic Review and Meta-Analysis
Bioengineering, Vol. 10, Núm. 2
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Preface
Lecture Notes in Networks and Systems
2022
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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SPECIAL ISSUE CISIS 2020-IGPL
Logic Journal of the IGPL, Vol. 30, Núm. 6, pp. 909-911
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Special Issue on Hybrid Artificial Intelligence Systems from HAIS 2020 Conference
Neurocomputing
2021
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A Mathematical Study of Barcelona Metro Network
Electronics (Switzerland), Vol. 10, Núm. 5, pp. 1-24
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Editorial: Special issue HAIS 2018
Logic Journal of the IGPL
2020
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Comparative study of imputation algorithms applied to the prediction of student performance
Logic Journal of the IGPL, Vol. 28, Núm. 1, pp. 58-70
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Design issues in Time Series dataset balancing algorithms
Neural Computing and Applications, Vol. 32, Núm. 5, pp. 1287-1304
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Lifelong learning from sustainable education: An analysis with eye tracking and data mining techniques
Sustainability (Switzerland), Vol. 12, Núm. 5
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019
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Rapid tomographic reconstruction through GPU-based adaptive optics
Logic Journal of the IGPL
2018
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A SMOTE extension for balancing multivariate epilepsy-related time series datasets
Advances in Intelligent Systems and Computing
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017
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Characterization of android malware families by a reduced set of static features
Advances in Intelligent Systems and Computing
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Key features for the characterization of Android malware families
Logic Journal of the IGPL, Vol. 25, Núm. 1, pp. 54-66
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Using GPUS to speed up a tomographic reconstructor based on machine learning
Advances in Intelligent Systems and Computing