Raúl Cruz-Barbosa
Orcid: 0000-0002-5494-7027
According to our database1,
Raúl Cruz-Barbosa
authored at least 31 papers
between 2006 and 2021.
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Bibliography
2021
On the Feasibility of Fast Fourier Transform Separability Property for Distributed Image Processing.
Sci. Program., 2021
Common Sense Knowledge Learning for Open Vocabulary Neural Reasoning: A First View into Chronic Disease Literature.
CoRR, 2021
Lung-Nodule Segmentation Using a Convolutional Neural Network with the U-Net Architecture.
Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021
2020
Mass segmentation of mammograms using Markov models associated with constrained clustering.
Medical Biol. Eng. Comput., 2020
2019
2018
A Feasible Genetic Optimization Strategy for Parametric Interval Type-2 Fuzzy Logic Systems.
Int. J. Fuzzy Syst., 2018
Concurr. Comput. Pract. Exp., 2018
Improving Breast Mass Classification Through Kernel Methods and the Fusion of Clinical Data and Image Descriptors.
Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018
2017
Análisis exploratorio para la caracterización de la adicción a la cocaína a través del aprendizaje computacional.
Res. Comput. Sci., 2017
2015
The influence of alignment-free sequence representations on the semi-supervised classification of class C G protein-coupled receptors.
Medical Biol. Eng. Comput., 2015
Proceedings of the Pattern Recognition - 7th Mexican Conference, 2015
2014
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014
2013
Aprendizaje generativo de variedades para la exploración de datos parcialmente etiquetados.
Computación y Sistemas, 2013
Advances in Semi-Supervised Alignment-Free Classication of G Protein-Coupled Receptors.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013
SVM-Based Classification of Class C GPCRs from Alignment-Free Physicochemical Transformations of Their Sequences.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2013, 2013
2011
Semi-Supervised Analysis of Human Brain Tumours from Partially Labeled MRS Information, Using Manifold Learning Models.
Int. J. Neural Syst., 2011
Regional Flood Frequency Estimation for the Mexican Mixteca Region by Clustering Techniques.
Proceedings of the Advances in Soft Computing, 2011
Comparative Diagnostic Accuracy of Linear and Nonlinear Feature Extraction Methods in a Neuro-oncology Problem.
Proceedings of the Pattern Recognition - Third Mexican Conference, 2011
Leukocytes Classification using Bayesian Networks.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011
On the Computation of the Geodesic Distance with an Application to Dimensionality Reduction in a Neuro-Oncology Problem.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011
2010
Pattern Recognit. Lett., 2010
2009
PhD thesis, 2009
Semi-supervised Outcome Prediction for a Type of Human Brain Tumour Using Partially Labeled MRS Information.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
2008
On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008
Proceedings of the Advances in Artificial Intelligence, 2008
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008
Two-Stage Clustering of a Human Brain Tumour Dataset using Manifold Learning Models.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008
2007
On the Influence of Class Information in the Two-Stage Clustering of a Human Brain Tumour Dataset.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007
Proceedings of the Current Topics in Artificial Intelligence, 2007
2006
Proceedings of the STAIRS 2006, 2006