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Raúl Cruz-Barbosa
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2020 – today
- 2021
- [j10]Arturo Téllez-Velázquez
, Raúl Cruz-Barbosa
On the Feasibility of Fast Fourier Transform Separability Property for Distributed Image Processing. Sci. Program. 2021: 1780931:1-1780931:8 (2021) - [c19]Vicente Hernández-Solis, Arturo Téllez-Velázquez, Antonio Orantes-Molina, Raúl Cruz-Barbosa:
Lung-Nodule Segmentation Using a Convolutional Neural Network with the U-Net Architecture. MCPR 2021: 335-344 - [i1]Ignacio Arroyo-Fernández, José Armando Sánchez-Rojas, Arturo Téllez-Velázquez, Flavio Juárez-Martínez, Raúl Cruz-Barbosa, Enrique Guzmán-Ramírez, Yalbi Itzel Balderas-Martínez:
Common Sense Knowledge Learning for Open Vocabulary Neural Reasoning: A First View into Chronic Disease Literature. CoRR abs/2111.13781 (2021) - 2020
- [j9]Raúl Cruz-Barbosa
Mass segmentation of mammograms using Markov models associated with constrained clustering. Medical Biol. Eng. Comput. 58(10): 2475-2495 (2020)
2010 – 2019
- 2019
- [j8]Arturo Téllez-Velázquez
A Spark image processing toolkit. Concurr. Comput. Pract. Exp. 31(17) (2019) - 2018
- [j7]Arturo Téllez-Velázquez
A CUDA-streams inference machine for non-singleton fuzzy systems. Concurr. Comput. Pract. Exp. 30(8) (2018) - [j6]Arturo Téllez-Velázquez
A Feasible Genetic Optimization Strategy for Parametric Interval Type-2 Fuzzy Logic Systems. Int. J. Fuzzy Syst. 20(1): 318-338 (2018) - [c18]Saiveth Hernández-Hernández, Antonio Orantes-Molina, Raúl Cruz-Barbosa:
Improving Breast Mass Classification Through Kernel Methods and the Fusion of Clinical Data and Image Descriptors. MCPR 2018: 258-266 - 2017
- [j5]Arturo Téllez-Velázquez, Eduardo A. Garza-Villareal, Jorge J. González-Olvera, Raúl Cruz-Barbosa:
Análisis exploratorio para la caracterización de la adicción a la cocaína a través del aprendizaje computacional. Res. Comput. Sci. 136: 99-107 (2017) - 2015
- [j4]Raúl Cruz-Barbosa, Alfredo Vellido, Jesús Giraldo
The influence of alignment-free sequence representations on the semi-supervised classification of class C G protein-coupled receptors. Medical Biol. Eng. Comput. 53(2): 137-149 (2015) - [c17]Verónica Rodríguez-López
Improving Bayesian Networks Breast Mass Diagnosis by Using Clinical Data. MCPR 2015: 292-301 - 2014
- [c16]Verónica Rodríguez-López
On the Breast Mass Diagnosis Using Bayesian Networks. MICAI (2) 2014: 474-485 - 2013
- [j3]Raúl Cruz-Barbosa, Alfredo Vellido:
Aprendizaje generativo de variedades para la exploración de datos parcialmente etiquetados. Computación y Sistemas 17(4) (2013) - [c15]Caroline König
SVM-Based Classification of Class C GPCRs from Alignment-Free Physicochemical Transformations of Their Sequences. ICIAP Workshops 2013: 336-343 - [c14]Raúl Cruz-Barbosa, Alfredo Vellido, Jesús Giraldo:
Advances in Semi-Supervised Alignment-Free Classication of G Protein-Coupled Receptors. IWBBIO 2013: 759-766 - 2011
- [j2]Raúl Cruz-Barbosa, Alfredo Vellido
Semi-Supervised Analysis of Human Brain Tumours from Partially Labeled MRS Information, Using Manifold Learning Models. Int. J. Neural Syst. 21(1): 17-29 (2011) - [c13]Raúl Cruz-Barbosa, David Bautista-Villavicencio, Alfredo Vellido
On the Computation of the Geodesic Distance with an Application to Dimensionality Reduction in a Neuro-Oncology Problem. CIARP 2011: 483-490 - [c12]Verónica Rodríguez-López, Raúl Cruz-Barbosa:
Leukocytes Classification using Bayesian Networks. ICAART (1) 2011: 681-684 - [c11]Raúl Cruz-Barbosa, David Bautista-Villavicencio, Alfredo Vellido
Comparative Diagnostic Accuracy of Linear and Nonlinear Feature Extraction Methods in a Neuro-oncology Problem. MCPR 2011: 34-41 - [c10]Felix Emilio Luis-Pérez, Raúl Cruz-Barbosa, Gabriela Álvarez-Olguin
Regional Flood Frequency Estimation for the Mexican Mixteca Region by Clustering Techniques. MICAI (2) 2011: 249-260 - 2010
- [j1]Raúl Cruz-Barbosa, Alfredo Vellido:
Semi-supervised geodesic Generative Topographic Mapping. Pattern Recognit. Lett. 31(3): 202-209 (2010)
2000 – 2009
- 2009
- [b1]Raúl Cruz-Barbosa:
Generative manifold learning for the exploration of partially labeled data. Polytechnic University of Catalonia, Spain, 2009 - [c9]Raúl Cruz-Barbosa, Alfredo Vellido:
Comparative Evaluation of Semi-supervised Geodesic GTM. HAIS 2009: 344-351 - [c8]Raúl Cruz-Barbosa, Alfredo Vellido:
Semi-supervised Outcome Prediction for a Type of Human Brain Tumour Using Partially Labeled MRS Information. IDEAL 2009: 168-175 - 2008
- [c7]Raúl Cruz-Barbosa, Alfredo Vellido:
Two-Stage Clustering of a Human Brain Tumour Dataset using Manifold Learning Models. BIOSIGNALS (2) 2008: 191-196 - [c6]Raúl Cruz-Barbosa, Alfredo Vellido:
Unfolding the Manifold in Generative Topographic Mapping. HAIS 2008: 392-399 - [c5]Raúl Cruz-Barbosa, Alfredo Vellido:
Geodesic Generative Topographic Mapping. IBERAMIA 2008: 113-122 - [c4]Raúl Cruz-Barbosa, Alfredo Vellido:
On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model. IDEAL 2008: 266-273 - 2007
- [c3]Raúl Cruz-Barbosa, Alfredo Vellido:
On the Initialization of Two-Stage Clustering with Class-GTM. CAEPIA 2007: 50-59 - [c2]Raúl Cruz-Barbosa, Alfredo Vellido:
On the Influence of Class Information in the Two-Stage Clustering of a Human Brain Tumour Dataset. MICAI 2007: 472-482 - 2006
- [c1]Raúl Cruz-Barbosa, Alfredo Vellido:
On the improvement of brain tumour data clustering using class information. STAIRS 2006: 253-254
Coauthor Index
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