José-Luis Sancho-Gómez

According to our database1, José-Luis Sancho-Gómez authored at least 58 papers between 1999 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Decision Trees for Glaucoma Screening Based on the Asymmetry of the Retinal Nerve Fiber Layer in Optical Coherence Tomography.
Sensors, 2022

Improving hand gestures recognition capabilities by ensembling convolutional networks.
Expert Syst. J. Knowl. Eng., 2022

Double-Layer Stacked Denoising Autoencoders for Regression.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Complete Stacked Denoising Auto-Encoders for Regression.
Neural Process. Lett., 2021

Complete autoencoders for classification with missing values.
Neural Comput. Appl., 2021

Autoencoder and Modified YOLOv3 Based Firearms Object Detection in X-ray Baggage Images to Enhance Aviation Safety.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Improving deep learning performance with missing values via deletion and compensation.
Neural Comput. Appl., 2020

Performance analysis of No-Propagation and ELM algorithms in classification.
Neural Comput. Appl., 2020

Supervised feature learning by adversarial autoencoder approach for object classification in dual X-ray image of luggage.
J. Intell. Manuf., 2020

MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal.
Inf. Fusion, 2020

Designing non-linear minimax and related discriminants by disjoint tangent configurations applied to RBF networks.
Neurocomputing, 2020

A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error.
CoRR, 2020

A machine learning color-based segmentation for object detection within dual X-ray baggage images.
Proceedings of the NISS 2020: The 3rd International Conference on Networking, Information Systems & Security, Marrakech, Morocco, March 31, 2020

On improving CNNs performance: The case of MNIST.
Inf. Fusion, 2019

Exploiting label information to improve auto-encoding based classifiers.
Neurocomputing, 2019

Machine-Health Application Based on Machine Learning Techniques for Prediction of Valve Wear in a Manufacturing Plant.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

Linear discriminants described by disjoint tangent configurations.
Neurocomputing, 2018

Bioinspired Architecture Selection for Multitask Learning.
Frontiers Neuroinformatics, 2017

Values Deletion to Improve Deep Imputation Processes.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

Early-stage atherosclerosis detection using deep learning over carotid ultrasound images.
Appl. Soft Comput., 2016

Erratum to: DRR and Portal Image Registration for Automatic Patient Positioning in Radiotherapy Treatment.
J. Digit. Imaging, 2015

Fully automatic segmentation of ultrasound common carotid artery images based on machine learning.
Neurocomputing, 2015

Frequency-domain active contours solution to evaluate intima-media thickness of the common carotid artery.
Biomed. Signal Process. Control., 2015

Estimation of the Arterial Diameter in Ultrasound Images of the Common Carotid Artery.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Related Tasks Selection to Multitask Learning Schemes.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Using Machine Learning Techniques for the Automatic Detection of Arterial Wall Layers in Carotid Ultrasounds.
Proceedings of the Ambient Intelligence - Software and Applications, 2015

Automatic detection of the intima-media thickness in ultrasound images of the common carotid artery using neural networks.
Medical Biol. Eng. Comput., 2014

Automatic image-based segmentation of the heart from CT scans.
EURASIP J. Image Video Process., 2014

Using Maximum Entropy Models to Discriminate between Similar Languages and Varieties.
Proceedings of the First Workshop on Applying NLP Tools to Similar Languages, 2014

Ultrasound image processing based on machine learning for the fully automatic evaluation of the Carotid Intima-Media Thickness.
Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing, 2014

Neural architecture design based on extreme learning machine.
Neural Networks, 2013

Segmentation of the Common Carotid Artery Walls Based on a Frequency Implementation of Active Contours - Segmentation of the Common Carotid Artery Walls.
J. Digit. Imaging, 2013

Classifying patterns with missing values using Multi-Task Learning perceptrons.
Expert Syst. Appl., 2013

Word Normalization in Twitter Using Finite-state Transducers.
Proceedings of the Tweet Normalization Workshop co-located with 29th Conference of the Spanish Society for Natural Language Processing (SEPLN 2013), 2013

Automatic Evaluation of Carotid Intima-Media Thickness in Ultrasounds Using Machine Learning.
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

Measurement of Carotid Intima-Media Thickness in ultrasound images by means of an automatic segmentation process based on machine learning.
Proceedings of Eurocon 2013, 2013

Improving learning by using artificial hints.
Neurocomputing, 2012

WIMP: Web server tool for missing data imputation.
Comput. Methods Programs Biomed., 2012

DRR and Portal Image Registration for Automatic Patient Positioning in Radiotherapy Treatment.
J. Digit. Imaging, 2011

Segmentation of the Carotid Artery in Ultrasound Images Using Neural Networks.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Pattern classification with missing data: a review.
Neural Comput. Appl., 2010

Detection of the intima and media walls of the carotid artery with geodesic active contours.
Proceedings of the International Conference on Image Processing, 2010

K nearest neighbours with mutual information for simultaneous classification and missing data imputation.
Neurocomputing, 2009

Combining Missing Data Imputation and Pattern Classification in a Multi-Layer Perceptron.
Intell. Autom. Soft Comput., 2009

Measurements over the Aquiles Tendon through Ecographic Images Processing.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

K-nearest neighbours based on mutual information for incomplete data classification.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

A Support Vector Method for Estimating Joint Density of Medical Images.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

Multi-task Neural Networks for Dealing with Missing Inputs.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Multitask Learning with Data Editing.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Pattern Classification with Missing Values using Multitask Learning.
Proceedings of the International Joint Conference on Neural Networks, 2006

Exploiting Multitask Learning Schemes Using Private Subnetworks.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Multiple feature models for image matching.
Proceedings of the 2005 International Conference on Image Processing, 2005

Nonlinear multiclass discriminant analysis.
IEEE Signal Process. Lett., 2003

Saturated Perceptrons for Maximum Margin and Minimum Misclassification Error.
Neural Process. Lett., 2001

Class separability estimation and incremental learning using boundary methods.
Neurocomputing, 2000

Adaptive combination of LMS and logistic-linear equalizers to improve the speed-performance compromise.
Proceedings of the 10th European Signal Processing Conference, 2000

Sample selection via clustering to construct support vector-like classifiers.
IEEE Trans. Neural Networks, 1999