Miguel A. Molina-Cabello
Orcid: 0000-0002-8929-6017
According to our database1,
Miguel A. Molina-Cabello
authored at least 65 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Sensors, February, 2024
CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography.
CoRR, 2024
2023
An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection.
Neural Comput. Appl., October, 2023
Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering.
Comput. Appl. Eng. Educ., May, 2023
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets.
IEEE Trans. Artif. Intell., April, 2023
Automated detection of vehicles with anomalous trajectories in traffic surveillance videos.
Integr. Comput. Aided Eng., 2023
2022
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica.
Medical Biol. Eng. Comput., 2022
Encoding Generative Adversarial Networks for Defense Against Image Classification Attacks.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022
Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
2021
Expert Syst. Appl., 2021
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica.
CoRR, 2021
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images.
CoRR, 2021
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images.
Appl. Soft Comput., 2021
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks.
Appl. Soft Comput., 2021
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images.
IEEE Access, 2021
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images.
Proceedings of the Advances in Computational Intelligence, 2021
Classification of Images as Photographs or Paintings by Using Convolutional Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2021
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021
2020
Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution.
Integr. Comput. Aided Eng., 2020
Integr. Comput. Aided Eng., 2020
Expert Syst. Appl., 2020
CoRR, 2020
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures.
CoRR, 2020
Artif. Intell. Rev., 2020
Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs.
IEEE Access, 2020
Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
The Impact of Linear Motion Blur on the Object Recognition Efficiency of Deep Convolutional Neural Networks.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Deep Autoencoder Architectures For Foreground Object Detection In Video Sequences Based On Probabilistic Mixture Models.
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences.
Pattern Recognit. Lett., 2019
Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019
Proceedings of the Advances in Computational Intelligence, 2019
Optimization of Convolutional Neural Network Ensemble Classifiers by Genetic Algorithms.
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019
2018
Int. J. Neural Syst., 2018
Foreground object detection for video surveillance by fuzzy logic based estimation of pixel illumination states.
Log. J. IGPL, 2018
Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images.
Integr. Comput. Aided Eng., 2018
Expert Syst. J. Knowl. Eng., 2018
Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018
Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Advances in Artificial Intelligence, 2018
2017
Int. J. Comput. Vis. Image Process., 2017
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017
Proceedings of the Advances in Computational Intelligence, 2017
Panoramic background modeling for PTZ cameras with competitive learning neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Expert Syst. Appl., 2016
Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016
Proceedings of the Advances in Artificial Intelligence, 2016