Publicaciones (90) Publicaciones de José Luis Sancho Gómez

2024

  1. Correction to: PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment (Scientific Data, (2022), 9, 1, (291), 10.1038/s41597-022-01388-1)

    Scientific Data

2023

  1. 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

  1. Decision Trees for Glaucoma Screening Based on the Asymmetry of the Retinal Nerve Fiber Layer in Optical Coherence Tomography

    Sensors, Vol. 22, Núm. 13

  2. Double-Layer Stacked Denoising Autoencoders for Regression

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Improving Glaucoma Diagnosis Assembling Deep Networks and Voting Schemes

    Diagnostics, Vol. 12, Núm. 6

  4. Improving hand gestures recognition capabilities by ensembling convolutional networks

    Expert Systems, Vol. 39, Núm. 5

  5. PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment

    Scientific Data

2021

  1. 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

  2. Complete Stacked Denoising Auto-Encoders for Regression

    Neural Processing Letters, Vol. 53, Núm. 1, pp. 787-797

  3. Complete autoencoders for classification with missing values

    Neural Computing and Applications, Vol. 33, Núm. 6, pp. 1951-1957

2020

  1. A machine learning color-based segmentation for object detection within dual X-ray baggage images

    PervasiveHealth: Pervasive Computing Technologies for Healthcare

  2. A machine learning color-based segmentation for object detection within dual X-ray baggage images

    ACM International Conference Proceeding Series

  3. A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error

    ArXiv

  4. Designing non-linear minimax and related discriminants by disjoint tangent configurations applied to RBF networks

    Neurocomputing, Vol. 383, pp. 106-112

  5. Improving deep learning performance with missing values via deletion and compensation

    Neural Computing and Applications, Vol. 32, Núm. 17, pp. 13233-13244

  6. 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

  7. Performance analysis of No-Propagation and ELM algorithms in classification

    Neural Computing and Applications, Vol. 32, Núm. 17, pp. 13183-13193

  8. 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

  1. 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

  2. Exploiting label information to improve auto-encoding based classifiers

    Neurocomputing, Vol. 370, pp. 104-108