On the improvement of brain tumour data clustering using class information. - Raúl Cruz-Barbosa; Alfredo Vellido (STAIRS, 2006)

On the Initialization of Two-Stage Clustering with Class-GTM. - Raúl Cruz-Barbosa; Alfredo Vellido (CAEPIA, 2007)

On the Influence of Class Information in the Two-Stage Clustering of a Human Brain Tumour Dataset. - Raúl Cruz-Barbosa; Alfredo Vellido (MICAI, 2007)

Two-Stage Clustering of a Human Brain Tumour Dataset using Manifold Learning Models. - Raúl Cruz-Barbosa; Alfredo Vellido (BIOSIGNALS (2), 2008)

Unfolding the Manifold in Generative Topographic Mapping. - Raúl Cruz-Barbosa; Alfredo Vellido (HAIS, 2008)

Geodesic Generative Topographic Mapping. - Raúl Cruz-Barbosa; Alfredo Vellido (IBERAMIA, 2008)

On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model. - Raúl Cruz-Barbosa; Alfredo Vellido (IDEAL, 2008)

Comparative Evaluation of Semi-supervised Geodesic GTM. - Raúl Cruz-Barbosa; Alfredo Vellido (HAIS, 2009)

Semi-supervised Outcome Prediction for a Type of Human Brain Tumour Using Partially Labeled MRS Information. - Raúl Cruz-Barbosa; Alfredo Vellido (IDEAL, 2009)

Generative manifold learning for the exploration of partially labeled data. - Raúl Cruz-Barbosa (2009)

Semi-supervised geodesic Generative Topographic Mapping. - Raúl Cruz-Barbosa; Alfredo Vellido (Pattern Recognit. Lett., 2010)

On the Computation of the Geodesic Distance with an Application to Dimensionality Reduction in a Neuro-Oncology Problem. - Raúl Cruz-Barbosa; David Bautista-Villavicencio; Alfredo Vellido (CIARP, 2011)

Leukocytes Classification using Bayesian Networks. - Verónica Rodríguez-López; Raúl Cruz-Barbosa (ICAART (1), 2011)

Comparative Diagnostic Accuracy of Linear and Nonlinear Feature Extraction Methods in a Neuro-oncology Problem. - Raúl Cruz-Barbosa; David Bautista-Villavicencio; Alfredo Vellido (MCPR, 2011)

Regional Flood Frequency Estimation for the Mexican Mixteca Region by Clustering Techniques. - Felix Emilio Luis-Pérez; Raúl Cruz-Barbosa; Gabriela Álvarez-Olguin (MICAI (2), 2011)

Semi-Supervised Analysis of Human Brain Tumours from Partially Labeled MRS Information, Using Manifold Learning Models. - Raúl Cruz-Barbosa; Alfredo Vellido (Int. J. Neural Syst., 2011)

SVM-Based Classification of Class C GPCRs from Alignment-Free Physicochemical Transformations of Their Sequences. - Caroline König; Raúl Cruz-Barbosa; René Alquézar; Alfredo Vellido (ICIAP Workshops, 2013)

Advances in Semi-Supervised Alignment-Free Classication of G Protein-Coupled Receptors. - Raúl Cruz-Barbosa; Alfredo Vellido; Jesús Giraldo (IWBBIO, 2013)

Aprendizaje generativo de variedades para la exploración de datos parcialmente etiquetados. - Raúl Cruz-Barbosa; Alfredo Vellido (Computación y Sistemas, 2013)

On the Breast Mass Diagnosis Using Bayesian Networks. - Verónica Rodríguez-López; Raúl Cruz-Barbosa (MICAI (2), 2014)

Improving Bayesian Networks Breast Mass Diagnosis by Using Clinical Data. - Verónica Rodríguez-López; Raúl Cruz-Barbosa (MCPR, 2015)

The influence of alignment-free sequence representations on the semi-supervised classification of class C G protein-coupled receptors. - Raúl Cruz-Barbosa; Alfredo Vellido; Jesús Giraldo (Medical Biol. Eng. Comput., 2015)

Análisis exploratorio para la caracterización de la adicción a la cocaína a través del aprendizaje computacional. - Arturo Téllez-Velázquez; Eduardo A. Garza-Villareal; Jorge J. González-Olvera; Raúl Cruz-Barbosa (Res. Comput. Sci., 2017)

Improving Breast Mass Classification Through Kernel Methods and the Fusion of Clinical Data and Image Descriptors. - Saiveth Hernández-Hernández; Antonio Orantes-Molina; Raúl Cruz-Barbosa (MCPR, 2018)

A CUDA-streams inference machine for non-singleton fuzzy systems. - Arturo Téllez-Velázquez; Raúl Cruz-Barbosa (Concurr. Comput. Pract. Exp., 2018)

A Feasible Genetic Optimization Strategy for Parametric Interval Type-2 Fuzzy Logic Systems. - Arturo Téllez-Velázquez; Herón Molina-Lozano; Luis A. Villa-Vargas; Raúl Cruz-Barbosa; Esther Lugo-González; Ildar Z. Batyrshin; Imre J. Rudas (Int. J. Fuzzy Syst., 2018)

A Spark image processing toolkit. - Arturo Téllez-Velázquez; Raúl Cruz-Barbosa (Concurr. Comput. Pract. Exp., 2019)

Mass segmentation of mammograms using Markov models associated with constrained clustering. - Raúl Cruz-Barbosa; Saiveth Hernández-Hernández; Luis Enrique Sucar (Medical Biol. Eng. Comput., 2020)

Lung-Nodule Segmentation Using a Convolutional Neural Network with the U-Net Architecture. - Vicente Hernández-Solis; Arturo Téllez-Velázquez; Antonio Orantes-Molina; Raúl Cruz-Barbosa (MCPR, 2021)

Common Sense Knowledge Learning for Open Vocabulary Neural Reasoning: A First View into Chronic Disease Literature. - Ignacio Arroyo-Fernández; José Armando Sánchez-Rojas; Arturo Téllez-Velázquez; Flavio Juárez-Martínez; Raúl Cruz-Barbosa; Enrique Guzmán-Ramírez; Yalbi Itzel Balderas-Martínez (CoRR, 2021)

On the Feasibility of Fast Fourier Transform Separability Property for Distributed Image Processing. - Arturo Téllez-Velázquez; Raúl Cruz-Barbosa (Sci. Program., 2021)