José Luis
Sancho Gómez
Catedrático de Universidad
Publications (90) José Luis Sancho Gómez publications
2023
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Aplicación de MobileNet para el diagnóstico temprano del glaucoma: Un enfoque binocular
CASEIB 2023. Libro de Actas del XLI Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Contribuyendo a la salud basada en valor
2022
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Decision Trees for Glaucoma Screening Based on the Asymmetry of the Retinal Nerve Fiber Layer in Optical Coherence Tomography
Sensors, Vol. 22, Núm. 13
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Double-Layer Stacked Denoising Autoencoders for Regression
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Improving Glaucoma Diagnosis Assembling Deep Networks and Voting Schemes
Diagnostics, Vol. 12, Núm. 6
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Improving hand gestures recognition capabilities by ensembling convolutional networks
Expert Systems, Vol. 39, Núm. 5
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PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment
Scientific Data
2021
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Comparative study of supervised machine learning color-based segmentation for object detection in x-ray baggage images for intelligent transportation systems
Advances in Science, Technology and Innovation (Springer Nature), pp. 89-98
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Complete Stacked Denoising Auto-Encoders for Regression
Neural Processing Letters, Vol. 53, Núm. 1, pp. 787-797
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Complete autoencoders for classification with missing values
Neural Computing and Applications, Vol. 33, Núm. 6, pp. 1951-1957
2020
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A machine learning color-based segmentation for object detection within dual X-ray baggage images
PervasiveHealth: Pervasive Computing Technologies for Healthcare
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A machine learning color-based segmentation for object detection within dual X-ray baggage images
ACM International Conference Proceeding Series
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A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error
ArXiv
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Designing non-linear minimax and related discriminants by disjoint tangent configurations applied to RBF networks
Neurocomputing, Vol. 383, pp. 106-112
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Improving deep learning performance with missing values via deletion and compensation
Neural Computing and Applications, Vol. 32, Núm. 17, pp. 13233-13244
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MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. ensembles overview and proposal
Information Fusion, Vol. 62, pp. 73-80
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Performance analysis of No-Propagation and ELM algorithms in classification
Neural Computing and Applications, Vol. 32, Núm. 17, pp. 13183-13193
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Supervised feature learning by adversarial autoencoder approach for object classification in dual X-ray image of luggage
Journal of Intelligent Manufacturing, Vol. 31, Núm. 5, pp. 1101-1112
2019
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Dual-energy X-ray images enhancement based on a discrete wavelet transform fusion technique for luggage inspection at airport
Proceedings - 2019 6th International Conference on Image and Signal Processing and their Applications, ISPA 2019
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Exploiting label information to improve auto-encoding based classifiers
Neurocomputing, Vol. 370, pp. 104-108