Raúl Ramos-Pollán
Orcid: 0000-0001-6195-3612
According to our database1,
Raúl Ramos-Pollán
authored at least 33 papers
between 2009 and 2023.
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Bibliography
2023
Eng. Appl. Artif. Intell., 2023
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery.
CoRR, 2023
Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction.
CoRR, 2023
CoRR, 2023
CoRR, 2023
A Contrastive Method Based on Elevation Data for Remote Sensing with Scarce and High Level Semantic Labels.
CoRR, 2023
2022
CoRR, 2022
CoRR, 2022
Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes.
CoRR, 2022
Towards reduction of expert bias on Gleason score classification via a semi-supervised deep learning strategy.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
2021
PeerJ Comput. Sci., 2021
Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain.
PeerJ Comput. Sci., 2021
GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis.
IEEE Access, 2021
2019
IEEE Access, 2019
2017
Effective training of convolutional neural networks with small, specialized datasets.
J. Intell. Fuzzy Syst., 2017
2016
Representation learning for mammography mass lesion classification with convolutional neural networks.
Comput. Methods Programs Biomed., 2016
Data driven Vertical Total Electron Content workflow for GNSS positioning for single frequency receivers.
Proceedings of the International Conference on Localization and GNSS, 2016
Proceedings of the Artificial Intelligence Research and Development, 2016
2015
Supervised Greedy Layer-Wise Training for Deep Convolutional Networks with Small Datasets.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Feature Learning Using Stacked Autoencoders to Predict the Activity of Antimicrobial Peptides.
Proceedings of the Computational Methods in Systems Biology, 2015
Classification of Low-Level Atmospheric Structures Based on a Pyramid Representation and a Machine Learning Method.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015
2014
Distributed Cache Strategies for Machine Learning Classification Tasks over Cluster Computing Resources.
Proceedings of the High Performance Computing - First HPCLATAM, 2014
2013
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013
2012
Discovering Mammography-based Machine Learning Classifiers for Breast Cancer Diagnosis.
J. Medical Syst., 2012
A Software Framework for Building Biomedical Machine Learning Classifiers through Grid Computing Resources.
J. Medical Syst., 2012
Comput. Informatics, 2012
BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources.
Proceedings of the 8th IEEE International Conference on E-Science, 2012
Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012
2010
Introducing ROC Curves as Error Measure Functions: A New Approach to Train ANN-Based Biomedical Data Classifiers.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010
2009
Proceedings of the 2009 Latin American Network Operations and Management Symposium, 2009