FRANCISCO JAVIER DE
COS JUEZ
Catedrático de Universidad
Universidad de León
León, EspañaPublicaciones en colaboración con investigadores/as de Universidad de León (10)
2023
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Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol
Lecture Notes in Networks and Systems
2021
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Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms
Neurocomputing, Vol. 452, pp. 386-394
2020
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A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks
Neural Computing and Applications, Vol. 32, Núm. 5, pp. 1231-1238
2019
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Evolutionary Algorithm for Pathways Detection in GWAS Studies
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Evolutionary Algorithm for Pathways Detection in GWAS Studies
Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings
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Rapid tomographic reconstruction through GPU-based adaptive optics
Logic Journal of the IGPL
2018
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A methodology for the detection of relevant single nucleotide polymorphism in prostate cancer by means of multivariate adaptive regression splines and backpropagation artificial neural networks
Advances in Intelligent Systems and Computing
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Classification of prostate cancer patients and healthy individuals by means of a hybrid algorithm combing SVM and evolutionary algorithms
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017
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Using GPUS to speed up a tomographic reconstructor based on machine learning
Advances in Intelligent Systems and Computing
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Using GPUs to Speed up a Tomographic Reconstructor Based on Machine Learning
International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián, Spain, October 19th-21st, 2016 Proceedings