Miguel A. Molina-Cabello
Miguel A. Molina-Cabello
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Zitiert von
Zitiert von
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
JM Górriz, J Ramírez, A Ortiz, FJ Martinez-Murcia, F Segovia, J Suckling, ...
Neurocomputing 410, 237-270, 2020
Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images
MA Molina-Cabello, RM Luque-Baena, E Lopez-Rubio, ...
Integrated Computer-Aided Engineering 25 (4), 321-333, 2018
Correcting data imbalance for semi-supervised covid-19 detection using x-ray chest images
S Calderon-Ramirez, S Yang, A Moemeni, D Elizondo, ...
Applied Soft Computing 111, 107692, 2021
Improving uncertainty estimation with semi-supervised deep learning for COVID-19 detection using chest X-ray images
S Calderon-Ramirez, S Yang, A Moemeni, S Colreavy-Donnelly, ...
Ieee Access 9, 85442-85454, 2021
Radial basis function kernel optimization for support vector machine classifiers
K Thurnhofer-Hemsi, E López-Rubio, MA Molina-Cabello, K Najarian
arXiv preprint arXiv:2007.08233, 2020
Content based image retrieval by ensembles of deep learning object classifiers
S Hamreras, B Boucheham, MA Molina-Cabello, R Benitez-Rochel, ...
Integrated computer-aided engineering 27 (3), 317-331, 2020
Foreground detection by competitive learning for varying input distributions
E López-Rubio, MA Molina-Cabello, RM Luque-Baena, E Domínguez
International journal of neural systems 28 (05), 1750056, 2018
Dealing with scarce labelled data: Semi-supervised deep learning with mix match for covid-19 detection using chest x-ray images
S Calderon-Ramirez, R Giri, S Yang, A Moemeni, M Umana, D Elizondo, ...
2020 25th International Conference on Pattern Recognition (ICPR), 5294-5301, 2021
Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution
K Thurnhofer-Hemsi, E Lopez-Rubio, N Roe-Vellve, MA Molina-Cabello
Integrated Computer-Aided Engineering 27 (3), 233-251, 2020
Smart motion detection sensor based on video processing using self-organizing maps
F Ortega-Zamorano, MA Molina-Cabello, E López-Rubio, EJ Palomo
Expert Systems with Applications 64, 476-489, 2016
Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences
J García-González, JM Ortiz-de-Lazcano-Lobato, RM Luque-Baena, ...
Pattern Recognition Letters 125, 481-487, 2019
Improving uncertainty estimations for mammogram classification using semi-supervised learning
S Calderon-Ramirez, D Murillo-Hernandez, K Rojas-Salazar, ...
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
The effect of downsampling–upsampling strategy on foreground detection algorithms
MA Molina-Cabello, J Garcia-Gonzalez, RM Luque-Baena, ...
Artificial Intelligence Review 53 (7), 4935-4965, 2020
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica
S Calderon-Ramirez, D Murillo-Hernandez, K Rojas-Salazar, D Elizondo, ...
Medical & biological engineering & computing 60 (4), 1159-1175, 2022
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks
J García-González, MA Molina-Cabello, RM Luque-Baena, ...
Applied Soft Computing 113, 107950, 2021
The effect of noise on foreground detection algorithms
FJ López-Rubio, E Lopez-Rubio, MA Molina-Cabello, RM Luque-Baena, ...
Artificial Intelligence Review 49, 407-438, 2018
Blood cell classification using the hough transform and convolutional neural networks
MA Molina-Cabello, E López-Rubio, RM Luque-Baena, ...
Trends and Advances in Information Systems and Technologies: Volume 2 6, 669-678, 2018
Mixmood: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
S Calderon-Ramirez, L Oala, J Torrents-Barrena, S Yang, A Moemeni, ...
arXiv preprint arXiv:2006.07767, 2020
Content based image retrieval by convolutional neural networks
S Hamreras, R Benítez-Rochel, B Boucheham, MA Molina-Cabello, ...
From Bioinspired Systems and Biomedical Applications to Machine Learning …, 2019
Vehicle type detection by convolutional neural networks
MA Molina-Cabello, RM Luque-Baena, E López-Rubio, ...
Biomedical Applications Based on Natural and Artificial Computing …, 2017
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