| Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications JM Górriz, J Ramírez, A Ortíz, FJ Martinez-Murcia, F Segovia, J Suckling, ... Neurocomputing 410, 237-270, 2020 | 193 | 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 | 79 | 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 | 46 | 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 | 38 | 2021 |
| 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 | 37 | 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 | 36 | 2018 |
| 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 | 34 | 2020 |
| 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 | 29 | 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 | 29 | 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 | 25 | 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 | 24 | 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 | 22 | 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 | 16 | 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 | 14 | 2022 |
| 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 | 14 | 2019 |
| 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 | 14 | 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 | 14 | 2018 |
| 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 | 13 | 2021 |
| 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 | 13 | 2020 |
| 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 | 12 | 2017 |
