Raúl Cruz-Barbosa

According to our database1, Raúl Cruz-Barbosa authored at least 26 papers between 2006 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
A Spark image processing toolkit.
Concurrency and Computation: Practice and Experience, 2019

2018
A Feasible Genetic Optimization Strategy for Parametric Interval Type-2 Fuzzy Logic Systems.
Int. J. Fuzzy Syst., 2018

A CUDA-streams inference machine for non-singleton fuzzy systems.
Concurrency and Computation: Practice and Experience, 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.
Research in Computing Science, 2017

2015
The influence of alignment-free sequence representations on the semi-supervised classification of class C G protein-coupled receptors.
Med. Biol. Engineering and Computing, 2015

Improving Bayesian Networks Breast Mass Diagnosis by Using Clinical Data.
Proceedings of the Pattern Recognition - 7th Mexican Conference, 2015

2014
On the Breast Mass Diagnosis Using Bayesian Networks.
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
Semi-supervised geodesic Generative Topographic Mapping.
Pattern Recognition Letters, 2010

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

Comparative Evaluation of Semi-supervised Geodesic GTM.
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

Geodesic Generative Topographic Mapping.
Proceedings of the Advances in Artificial Intelligence, 2008

Unfolding the Manifold in Generative Topographic Mapping.
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

On the Initialization of Two-Stage Clustering with Class-GTM.
Proceedings of the Current Topics in Artificial Intelligence, 2007

2006
On the improvement of brain tumour data clustering using class information.
Proceedings of the STAIRS 2006, 2006


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