Juan Humberto Sossa Azuela

发表

Decision Making by Rule-Based Fuzzy Cognitive Maps: An Approach to Implement Student-Centered Education

Alejandro Peña Ayala, Juan Humberto Sossa Azuela, 2014, Fuzzy Cognitive Maps for Applied Sciences and Engineering.

Retinal vessel extraction using Lattice Neural Networks with dendritic processing

Juan Humberto Sossa Azuela, Roberto Vega, Gildardo Sánchez-Ante, 2015, Comput. Biol. Medicine.

A new stopping criterion for the mean shift iterative algorithm

Juan Humberto Sossa Azuela, Roberto Rodríguez, Esley Torres, 2013, CIARP.

3-D Human Body Posture Reconstruction by Computer Vision

Juan Humberto Sossa Azuela, Jacobo E. Cruz-Silva, Jesús Y. Montiel-Pérez, 2019, MICAI.

Advances in Artificial Intelligence

Alexander Gelbukh, Juan Humberto Sossa Azuela, Editores del Volumen, 2011, Lecture Notes in Computer Science.

Morphological-Linear Neural Network

Juan Humberto Sossa Azuela, Gerardo Hernández, Erik Zamora, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Random Features Applied to Face Recognition

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, R. Vázquez, 2007, Eighth Mexican International Conference on Current Trends in Computer Science (ENC 2007).

Automatic Synthesis of Associative Memories through Genetic Programming: A First Co-evolutionary Approach

Juan Humberto Sossa Azuela, Gustavo Olague, Juan Villegas-Cortez, 2010, EvoApplications.

Dendrite morphological neural networks for motor task recognition from electroencephalographic signals

Berenice Gudiño-Mendoza, Juan Humberto Sossa Azuela, Gildardo Sánchez-Ante, 2018, Biomed. Signal Process. Control..

Associative memory based real-valued pattern recall

Juan Humberto Sossa Azuela, Ricardo Barrón, José Luis Oropeza Rodríguez, 2004, Proceedings of the Fifth Mexican International Conference in Computer Science, 2004. ENC 2004..

Mathematical Morphology Based on Linear Combined Metric Spaces on Z2 (Part II): Constant Time Morphological Operations

Juan Humberto Sossa Azuela, S. JuanLuisDíaz-de-León, 2004, Journal of Mathematical Imaging and Vision.

Efficient training for dendrite morphological neural networks

Juan Humberto Sossa Azuela, Elizabeth Guevara, Elizabeth Guevara, 2014, Neurocomputing.

Uso de redes neuronales pulsantes para mejorar el filtrado de imágenes contaminadas con ruido Gaussiano

Juan Humberto Sossa Azuela, Estela Ortiz, Manuel Mejía-Lavalle, 2016, Res. Comput. Sci..

Behavior of morphological associative memories with true-color image patterns

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, 2009, Neurocomputing.

Pattern Classification Based on Conformal Geometric Algebra and Optimization Techniques

Juan Humberto Sossa Azuela, Ricardo Barrón, Benjamín Cruz, 2008, MICAI.

A New Bi-directional Associative Memory

Juan Humberto Sossa Azuela, Beatriz A. Garro, Roberto Antonio Vázquez, 2006, MICAI.

Image Processing for Automatic Reading of Electro-Mechanical Utility Meters

Juan Humberto Sossa Azuela, Gildardo Sánchez-Ante, Luis Falcón-Morales, 2013, 2013 12th Mexican International Conference on Artificial Intelligence.

Improving Pattern Recognition Using Several Feature Vectors

Juan Humberto Sossa Azuela, Patricia Rayón Villela, 2002, MICAI.

Design of Artificial Neural Networks Using Differential Evolution Algorithm

Juan Humberto Sossa Azuela, Beatriz A. Garro, Roberto Antonio Vázquez, 2010, ICONIP.

Classification of the estrous cycle through texture and shape features

Juan Humberto Sossa Azuela, Gerardo Hernández, Erik Zamora, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

On the computation of the Euler number of a binary object

Juan Humberto Sossa Azuela, S. JuanLuisDíaz-de-León, 1996, Pattern Recognit..

Motor Imagery Task Classification in EEG Signals with Spiking Neural Network

Juan Humberto Sossa Azuela, Javier Mauricio Antelis, Luis Eduardo Falcón, 2019, MCPR.

On the Computation of the Number of Bubbles and Tunnels of a 3-D Binary Object

Juan Humberto Sossa Azuela, 2016, ICPRAM.

Associative Memories Applied to Image Categorization

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, 2006, CIARP.

Modified Dendrite Morphological Neural Network Applied to 3D Object Recognition

Juan Humberto Sossa Azuela, Elizabeth Guevara, 2013, MCPR.

Reconnaissance d'objets polyédriques par indexation dans une base de modèles. (Polyhedral object recognition by database model indexing)

Juan Humberto Sossa Azuela, 1992 .

Automatic Construction of Radial-Basis Function Networks Through an Adaptive Partition Algorithm

Juan Humberto Sossa Azuela, Gildardo Sánchez-Ante, Ricardo Ocampo-Vega, 2016, MCPR.

A new methodology for music retrieval based on dynamic neural networks

Juan Humberto Sossa Azuela, Ricardo Barrón, Laura Elena Gómez Sánchez, 2012, Int. J. Hybrid Intell. Syst..

New Radial Basis Function Neural Network Architecture for Pattern Classification: First Results

Juan Humberto Sossa Azuela, Elizabeth Guevara, Griselda Cortés, 2014, CIARP.

Mobile Robotic Navigation System With Improved Autonomy Under Diverse Scenarios

Juan Humberto Sossa Azuela, Elizabeth López-Lozada, Elsa Rubio-Espino, 2020, MICAI.

Evolutionary Computation Applied to the Automatic Design of Artificial Neural Networks and Associative Memories

Juan Humberto Sossa Azuela, Gustavo Olague, Beatriz A. Garro, 2012, EVOLVE.

Associative Memories Applied to Pattern Recognition

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, 2008, ICANN.

An Approach to the Computation of the Euler Number by means of the Vertex Chain Code

Juan Humberto Sossa Azuela, Ernesto Bribiesca, Ulf-Dietrich Braumann, 2020, Comput. Math. Methods Medicine.

Activity theory as a framework for building adaptive e-learning systems: A case to provide empirical evidence

Alejandro Peña Ayala, Juan Humberto Sossa Azuela, Ignacio Méndez, 2014, Comput. Hum. Behav..

Differential evolution training algorithm for dendrite morphological neural networks

Juan Humberto Sossa Azuela, Erik Zamora, Ricardo Barrón, 2018, Appl. Soft Comput..

Design of artificial neural networks using a modified Particle Swarm Optimization algorithm

Juan Humberto Sossa Azuela, Beatriz A. Garro, Roberto Antonio Vázquez, 2009, 2009 International Joint Conference on Neural Networks.

Vegetation Segmentation in Cornfield Images Using Bag of Words

Joachim Denzler, Gonzalo Pajares, Juan Humberto Sossa Azuela, 2016, ACIVS.

Using Pulse Coupled Neural Networks to Improve Image Filtering Contaminated with Gaussian Noise

Juan Humberto Sossa Azuela, Estela Ortiz, Manuel Mejía-Lavalle, 2017, Computación y Sistemas.

Model Indexing Based on a Graph-Theoretic Approach

Radu Horaud, Juan Humberto Sossa Azuela, R. Horaud, 1992, European Conference on Artificial Intelligence.

Cognitive Maps: an Overview and their Application for Student Modeling

Alejandro Peña Ayala, Juan Humberto Sossa Azuela, Agustin Gutiérrez, 2007, Computación y Sistemas.

Automatic facial feature detection and location

Juan Humberto Sossa Azuela, Raúl Pinto-Elías, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Spatio-temporal analysis for obstacle detection in agricultural videos

Gonzalo Pajares, Juan Humberto Sossa Azuela, Yerania Campos, 2016, Appl. Soft Comput..

Diseño automático de redes neuronales artificiales mediante el uso del algoritmo de evolución diferencial (ED)

Juan Humberto Sossa Azuela, Beatriz A. Garro, Roberto Antonio Vázquez, 2012, Polibits.

Unsupervised Image Retrieval with Similar Lighting Conditions

Juan Humberto Sossa Azuela, Gustavo Olague, Juan Villegas-Cortez, 2010, 2010 20th International Conference on Pattern Recognition.

Classification of Hand Movements from Non-invasive Brain Signals Using Lattice Neural Networks with Dendritic Processing

Juan Humberto Sossa Azuela, Gildardo Sánchez-Ante, Javier Mauricio Antelis, 2015, MCPR.

Polyhedral object recognition by indexing

Radu Horaud, Juan Humberto Sossa Azuela, R. Horaud, 1995, Pattern Recognit..

Predictive student model supported by fuzzy-causal knowledge and inference

Alejandro Peña Ayala, Juan Humberto Sossa Azuela, Francisco Cervantes-Pérez, 2012, Expert Syst. Appl..

Computing the 2-D image euler number by an Artificial Neural Network

Juan Humberto Sossa Azuela, Elizabeth Guevara, Raúl Santiago-Montero, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

New method to count objects into an image

Giovanni Guzmán, Juan Humberto Sossa Azuela, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Fringe-Pattern Demodulation Using a Parametric Method Based on Differential Evolution

Juan Humberto Sossa Azuela, Laura Elena Gómez Sánchez, Julio F. Jiménez Vielma, 2010, MCPR.

Scene Retrieval of Natural Images

Juan Humberto Sossa Azuela, Gustavo Olague, Juan Villegas-Cortez, 2009, CIARP.

Vision-Based Blind Spot Warning System by Deep Neural Networks

Juan Humberto Sossa Azuela, Erik Zamora, G. VíctorR.Virgilio, 2020, MCPR.

Study of the Influence of Noise in the Values of a Median Associative Memory

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, Ricardo Barrón, 2007, ICANNGA.

Real-Valued Pattern Recall by Associative Memory

Juan Humberto Sossa Azuela, Ricardo Barrón, José Luis Oropeza Rodríguez, 2004, IBERAMIA.

Adaptive and intelligent web based education system: Towards an integral architecture and framework

Rubén Peredo Valderrama, Alejandro Peña Ayala, Juan Humberto Sossa Azuela, 2007, Expert Syst. Appl..

Automatic Design of Artificial Neural Networks and Associative Memories for Pattern Classification and Pattern Restoration

Juan Humberto Sossa Azuela, Gustavo Olague, Beatriz A. Garro, 2012, MCPR.

Mathematical Morphology Based on Linear Combined Metric Spaces on Z2 (Part I): Fast Distance Transforms

Juan Humberto Sossa Azuela, S. JuanLuisDíaz-de-León, 2004, Journal of Mathematical Imaging and Vision.

Dendrite morphological neurons trained by stochastic gradient descent

Juan Humberto Sossa Azuela, Erik Zamora, 2016, SSCI.

Morphological auto-associative memories applied to true-color image patterns

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, 2009, 2009 International Joint Conference on Neural Networks.

Arquitectura de sistemas tecnológicos para la educación basada en Web

Juan Humberto Sossa Azuela, R. Peredo Valderrama, L. Balladares Ocaña, 2009 .

Classification of Motor States from Brain Rhythms Using Lattice Neural Networks

Berenice Gudiño-Mendoza, Juan Humberto Sossa Azuela, Gildardo Sánchez-Ante, 2016, MCPR.

A Segmentation Algorithm Based on an Iterative Computation of the Mean Shift Filtering

Juan Humberto Sossa Azuela, Roberto M. Rodríguez, Roberto Rodríguez, 2011, J. Intell. Robotic Syst..

New Associative Memories to Recall Real-Valued Patterns

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, Ricardo Barrón, 2004, CIARP.

SISREC: a system for image retrieval

Juan Humberto Sossa Azuela, Antonio Villasenor, Juan L. Olguin, 2003, Proceedings of the Fourth Mexican International Conference on Computer Science, 2003. ENC 2003..

A Convolutional Neural Network for Handwritten Digit Recognition

Juan Humberto Sossa Azuela, Osslan Osiris Vergara-Villegas, Vianey Guadalupe Cruz Sánchez, 2020, Int. J. Comb. Optim. Probl. Informatics.

An improved parallel algorithm for thinning digital patterns

Juan Humberto Sossa Azuela, 1989, Pattern Recognit. Lett..

Efficient Computation of 3-D Moments in Terms of an Object's Partition

Juan Humberto Sossa Azuela, Francisco Cuevas de la Rosa, Héctor Benitez, 2002, SSPR/SPR.

Median Hetero-Associative Memories Applied to the Categorization of True-Color Patterns

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, 2010, HAIS.

Efficient Computation of the Euler Number of a 2-D Binary Image

Juan Humberto Sossa Azuela, Alberto Petrilli-Barceló, Raúl Santiago-Montero, 2016, MICAI.

On the accuracy and computational cost of spiking neuron implementation.

Juan Humberto Sossa Azuela, Raúl Santiago-Montero, Sergio Valadez-Godínez, 2020, Neural networks : the official journal of the International Neural Network Society.

A Decision and Communication Management Methodology for embedded Multi- smart Camera systems, applied to real-time inspection in lamps production

Juan Humberto Sossa Azuela, Norberto Flores-Guzman, Rocky Bizuet-Garcia, 2008, 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras.

Reconocimiento Eficiente de Caracteres Alfanuméricos Provenientes de Mapas Ráster por Medio de Clasificadores Neuronales

Serguei Levachkine, Juan Humberto Sossa Azuela, Aurelio Velázquez, 2002, Computación y Sistemas.

Recognizing 2-D Rigid and Non-Rigid Wire-Shapes

Juan Humberto Sossa Azuela, S. JuanLuisDíaz-de-León, 1996, SSPR.

Dendrite ellipsoidal neurons based on k-means optimization

Juan Humberto Sossa Azuela, Erik Zamora, Fernando Arce, 2018, Evol. Syst..

Redes neuronales dinámicas aplicadas a la recomendación musical optimizada

Juan Humberto Sossa Azuela, Ricardo Barrón, Laura Elena Gómez Sánchez, 2013, Polibits.

Ontology Agent Based Rule Base Fuzzy Cognitive Maps

Alejandro Peña Ayala, Juan Humberto Sossa Azuela, Francisco Gutiérrez, 2007, KES-AMSTA.

A New Two-Level Associative Memory for Efficient Pattern Restoration

Juan Humberto Sossa Azuela, Ricardo Barrón, Benjamín Cruz, 2006, Neural Processing Letters.

Combined Image Filter for Robust Fine Detail Preservation and Efficient Noise Supression

Oleksiy B. Pogrebnyak, Volodymyr I. Ponomaryov, Juan Humberto Sossa Azuela, 2001, Computación y Sistemas.

The Role of the Infant Vision System in 3D Object Recognition

Juan Humberto Sossa Azuela, Beatriz A. Garro, Roberto Antonio Vázquez, 2009, ICONIP.

Generating exponentially stable states for a Hopfield Neural Network

Juan Humberto Sossa Azuela, Erick Cabrera, Erick Cabrera, 2018, Neurocomputing.

Counting the number of blobs in an image

Giovanni Guzmán, Juan Humberto Sossa Azuela, Rafael Sotelo Rangel, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Morphological Hetero-Associative Memories Applied to Restore True-Color Patterns

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, 2009, ISNN.

Cognitive Maps-Based Student Model

Alejandro Peña Ayala, Juan Humberto Sossa Azuela, Agustin Gutiérrez, 2006, ICCE.

Median Associative Memories: New Results

Juan Humberto Sossa Azuela, Ricardo Barrón, 2005, CIARP.

Refined Method for the Fast and Exact Computation of Moment Invariants

Jan Flusser, Juan Humberto Sossa Azuela, 2004, CIARP.

Modified Dendrite Morphological Neural Network Applied to 3D Object Recognition on RGB-D Data

Juan Humberto Sossa Azuela, Elizabeth Guevara, 2013, HAIS.

A multi-threshold segmentation approach based on Artificial Bee Colony optimization

Erik Valdemar Cuevas Jiménez, Juan Humberto Sossa Azuela, Daniel Zaldivar, 2012, Applied Intelligence.

Fast Circle Detection Using Harmony Search Optimization

Erik Valdemar Cuevas Jiménez, Juan Humberto Sossa Azuela, Daniel Zaldivar, 2012, EVOLVE.

A vision from a physical point of view and the information theory on the image segmentation

Juan Humberto Sossa Azuela, Esley Torres, Yasel Garcés Suárez, 2019, Journal of Intelligent & Fuzzy Systems.

Synchronizing Hyperchaotic Maps to Encode/Decode Information

Juan Humberto Sossa Azuela, Ricardo Barrón, Carlos Aguilar Ibáñez, 2004, Computación y Sistemas.

Robust Place Recognition using Convolutional Neural Networks

Juan Humberto Sossa Azuela, Omar Edgardo Lugo Sánchez, Erik Zamora Gómez, 2020, Computación y Sistemas.

Control of the Furuta Pendulum by using a Lyapunov function

Juan Humberto Sossa Azuela, Carlos Aguilar Ibáñez, Octavio F. Gutierrez, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

New Associative Model for Pattern Recall in the Presence of Mixed Noise

Juan Humberto Sossa Azuela, Ricardo Barrón, 2003, SIP.

Image Retrieval based on Wavelet Computation and Neural Network Classification

Juan Humberto Sossa Azuela, Edgardo Manuel Felipe Riverón, Alain C. Gonzalez, 2007, WIAMIS.

Towards Dendrite Spherical Neurons for Pattern Classification

Juan Humberto Sossa Azuela, Wilfrido Gómez-Flores, 2020, MCPR.

Reinforcement Learning Compensation based PD Control for Inverted Pendulum

Juan Humberto Sossa Azuela, Wen Yu, Guillermo Puriel-Gil, 2018, 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Particle Swarm Optimization Applied to Interferogram Demodulation

Juan Humberto Sossa Azuela, Julio F. Jiménez Vielma, Francisco J. Cuevas, 2012, EVOLVE.

A New Algorithm for Training Multi-layered Morphological Networks

Juan Humberto Sossa Azuela, Ricardo Barrón, Benjamín Cruz, 2007, CIARP.

Segmentation of Blood Cell Images Using Evolutionary Methods

Erik Valdemar Cuevas Jiménez, Juan Humberto Sossa Azuela, Valentín Osuna-Enciso, 2012, EVOLVE.

Dynamic Neural Networks Applied to Melody Retrieval

Juan Humberto Sossa Azuela, Ricardo Barrón, Laura Elena Gómez Sánchez, 2010, MICAI.

Automatic Contrast Enhancement with Differential Evolution for Leukemia Cell Identification

Juan Humberto Sossa Azuela, Gustavo Olague, R. Ochoa-Montiel, 2019, MCPR.

Computing geometric moments using morphological erosions

Juan Humberto Sossa Azuela, S. JuanLuisDíaz-de-León, Cornelio Yáñez-Márquez, 2001, Pattern Recognit..

Wavelet transforms and neural networks applied to image retrieval

Oleksiy B. Pogrebnyak, Juan Humberto Sossa Azuela, Edgardo Manuel Felipe Riverón, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

A New Unsupervised Learning for Clustering Using Geometric Associative Memories

Juan Humberto Sossa Azuela, Ricardo Barrón, Benjamín Cruz, 2009, CIARP.

Self organizing natural scene image retrieval

Juan Humberto Sossa Azuela, Juan Villegas-Cortez, Carlos Avilés-Cruz, 2013, Expert Syst. Appl..

Model-based recognition of planar objects using geometric invariants

Juan Humberto Sossa Azuela, Amparo Palomino, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Knowledge and Reasoning Supported by Cognitive Maps

Alejandro Peña Ayala, Juan Humberto Sossa Azuela, Agustin Gutiérrez, 2005, MICAI.

Encoding Polysomnographic Signals into Spike Firing Rate for Sleep Staging

Juan Humberto Sossa Azuela, Elizabeth Guevara, Raúl Santiago-Montero, 2015, MCPR.

Efficient FPGA Hardware Implementation for Robot Manipulator Kinematic Modeling Using Rational Trigonometry

Juan Humberto Sossa Azuela, Erik Zamora Gómez, Rogelio Martinez Peralta, 2019 .

Geometric Associative Processing Applied to Pattern Classification

Juan Humberto Sossa Azuela, Ricardo Barrón, Benjamín Cruz, 2009, ISNN.

Automatic path planning for a mobile robot among obstacles of arbitrary shape

Juan Humberto Sossa Azuela, S. JuanLuisDíaz-de-León, 1998, IEEE Trans. Syst. Man Cybern. Part B.

Arquitectura basada en redes neuronales para el reconocimiento de rostros

Juan Humberto Sossa Azuela, Patricia Rayón Villela, Jesús Figueroa Nazuno, 1998 .

Hetero-Associative Memories for Voice Signal and Image Processing

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, R. Vázquez, 2008, CIARP.

Implementación y control de un conmutador de imágenes multifocales

Juan Humberto Sossa Azuela, Elsa Rubio-Espino, Leonel Morales-Botello, 2015, Res. Comput. Sci..

Associative Gray Level Pattern Processing using Binary Decomposition and α β Memories

Juan Humberto Sossa Azuela, Ricardo Barrón, Carlos Aguilar Ibáñez, 2005, Neural Processing Letters.

Model indexing: the graph-hashing approach

Juan Humberto Sossa Azuela, Radu Horaud, R. Horaud, 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Coding 3D Connected Regions with F26 Chain Code

Hermilo Sánchez-Cruz, Juan Humberto Sossa Azuela, Hiram H. López, 2018, MICAI.

3D Object Recognition Based on Low Frequency Response and Random Feature Selection

Juan Humberto Sossa Azuela, Beatriz A. Garro, Roberto Antonio Vázquez, 2007, MICAI.

Dendrite Ellipsoidal Neuron

Juan Humberto Sossa Azuela, Erik Zamora, Fernando Arce, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Artificial neural network synthesis by means of artificial bee colony (ABC) algorithm

Juan Humberto Sossa Azuela, Beatriz A. Garro, Roberto Antonio Vázquez, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Alternative formulations to compute the binary shape Euler number

Erik Valdemar Cuevas Jiménez, Alejandro Peña Ayala, Juan Humberto Sossa Azuela, 2014, IET Comput. Vis..

A comparison between two robust techniques for segmentation of blood vessels

Ebroul Izquierdo, Juan Humberto Sossa Azuela, Valia Guerra-Ones, 2008, Comput. Biol. Medicine.

Evolving Neural Networks: A Comparison between Differential Evolution and Particle Swarm Optimization

Juan Humberto Sossa Azuela, Beatriz A. Garro, Roberto Antonio Vázquez, 2011, ICSI.

Bioinspired Associative Memories

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, R. Vázquez, 2009, Encyclopedia of Artificial Intelligence.

Voice Translator Based on Associative Memories

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, 2008, ISNN.

Extended Associative Memories for Recalling Gray Level Patterns

Juan Humberto Sossa Azuela, Ricardo Barrón, Carlos Aguilar Ibáñez, 2004, CIARP.

Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification

Juan Humberto Sossa Azuela, Erik Zamora, Javier Mauricio Antelis, 2019, MCPR.

Computing the Number of Bubbles and Tunnels of a 3-D Binary Object

Juan Humberto Sossa Azuela, Hermilo Sánchez-Cruz, 2016, ICPRAM.

Pattern Analysis in DNA Microarray Data through PCA-Based Gene Selection

Juan Humberto Sossa Azuela, Gildardo Sánchez-Ante, Luis Falcón-Morales, 2014, CIARP.

Training a Multilayered Perceptron to Compute the Euler Number of a 2-D Binary Image

Juan Humberto Sossa Azuela, Raúl Santiago-Montero, Ángel Carreón, 2016, MCPR.

Fully Convolutional Networks for Automatic Pavement Crack Segmentation

Juan Humberto Sossa Azuela, Erik Zamora, Fernando Arce, 2019, Computación y Sistemas.

A Parametric Method Applied to Phase Recovery from a Fringe Pattern Based on a Particle Swarm Optimization

Juan Humberto Sossa Azuela, Laura Elena Gómez Sánchez, Julio F. Jiménez Vielma, 2010, HAIS.

Spiking Neural Networks applied to the classification of motor tasks in EEG signals.

Juan Humberto Sossa Azuela, Javier Mauricio Antelis, Luis Eduardo Falcón, 2020, Neural networks : the official journal of the International Neural Network Society.

A Bidirectional Hetero-Associative Memory for True-Color Patterns

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, 2008, Neural Processing Letters.

On the Segmentation of Color Cartographic Images

Serguei Levachkine, Juan Humberto Sossa Azuela, Aurelio Velázquez, 2002, SSPR/SPR.

A Procedure to Select the Vigilance Threshold for the ART2 for Supervised and Unsupervised Training

Juan Humberto Sossa Azuela, Patricia Rayón Villela, 2000, MICAI.

An Evolutionary Feature-Based Visual Attention Model Applied to Face Recognition

Juan Humberto Sossa Azuela, Beatriz A. Garro, Roberto Antonio Vázquez, 2010, HAIS.

Demodulation of Interferograms based on Particle Swarm Optimization

Juan Humberto Sossa Azuela, Laura Elena Gómez Sánchez, Julio F. Jiménez Vielma, 2012, Polibits.

Histograms, Wavelets and Neural Networks Applied to Image Retrieval

Oleksiy B. Pogrebnyak, Juan Humberto Sossa Azuela, Edgardo Manuel Felipe Riverón, 2006, MICAI.

Estrous Cycle Classification through Automatic Feature Extraction

Juan Humberto Sossa Azuela, Erik Zamora, María del Rocío Ochoa Montiel, 2019, Computación y Sistemas.

Feature Matching Using Accumulation Spaces

Juan Humberto Sossa Azuela, Jesús A. Martínez Nuño, 2002, MICAI.

Efficient Luminosity Enhancement in Human Brain Images using Pulse-Coupled Neural Networks

Juan Humberto Sossa Azuela, Manuel Mejía-Lavalle, Kevin S. Aguilar Domínguez, 2020, Computación y Sistemas.

Recognizing polyhedral objects using neural networks

Juan Humberto Sossa Azuela, Patricia Rayón Villela, J. Figueroa-Nazuno, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Causal knowledge and reasoning by cognitive maps: Pursuing a holistic approach

Alejandro Peña Ayala, Juan Humberto Sossa Azuela, Agustin Gutiérrez, 2008, Expert Syst. Appl..

A new model of associative memories network

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, 2007, ANNIIP.

A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation pdf

Erik Valdemar Cuevas Jiménez, Juan Humberto Sossa Azuela, Valentín Osuna-Enciso, 2013, Expert Syst. Appl..

Comparing Deep and Dendrite Neural Networks: A Case Study

Juan Humberto Sossa Azuela, Gerardo Hernández, Erik Zamora, 2017, MCPR.

Face Recognition Using Some Aspects of the Infant Vision System and Associative Memories

Juan Humberto Sossa Azuela, Beatriz A. Garro, Roberto Antonio Vázquez, 2007, CIARP.

Blood Vessel Segmentation in Retinal Images Using Lattice Neural Networks

Juan Humberto Sossa Azuela, Gildardo Sánchez-Ante, Elizabeth Guevara, 2013, MICAI.

Recognizing Partially Visible 2-D Non-rigid Wire-Shapes

Juan Humberto Sossa Azuela, A. E. de León-Gutierrez, 1998, SSPR/SPR.

Transforming Fundamental Set of Patterns to a Canonical Form to Improve Pattern Recall

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, Ricardo Barrón, 2004, IBERAMIA.

Evolutionary Associative Memories through Genetic Programming

Juan Humberto Sossa Azuela, Gustavo Olague, Juan Villegas-Cortez, 2011, Parallel Architectures and Bioinspired Algorithms.

CNN Based Detectors on Planetary Environments: A Performance Evaluation

Juan Humberto Sossa Azuela, Elsa Rubio-Espino, Federico Furlán Colón, 2020, Frontiers in Neurorobotics.

Improving pattern classification of DNA microarray data by using PCA and logistic regression

Juan Humberto Sossa Azuela, Gildardo Sánchez-Ante, Ricardo Ocampo-Vega, 2016, Intell. Data Anal..

How the Accuracy and Computational Cost of Spiking Neuron Simulation are Affected by the Time Span and Firing Rate

Juan Humberto Sossa Azuela, Raúl Santiago-Montero, Sergio Valadez-Godínez, 2017, Computación y Sistemas.

Modified Binary Inertial Particle Swarm Optimization for Gene Selection in DNA Microarray Data

Juan Humberto Sossa Azuela, Gildardo Sánchez-Ante, Luis Falcón-Morales, 2015, MCPR.

Navegación jerárquica de un robot humanoide usando redes de Petri y lógica difusa

Juan Humberto Sossa Azuela, Víctor Hugo Ponce Ponce, Elsa Rubio-Espino, 2017, Res. Comput. Sci..

Morphological Neural Networks with Dendrite Computation: A Geometrical Approach

Juan Humberto Sossa Azuela, Ricardo Barrón, Héctor Cortés, 2003, CIARP.

Optical discontinuous fringe metrology by using a genetic algorithm

Juan Humberto Sossa Azuela, Francisco J. Cuevas, N. Alcalá, 2006, Computational Intelligence.

Real-valued pattern classification based on extended associative memory

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, Ricardo Barrón, 2004, Proceedings of the Fifth Mexican International Conference in Computer Science, 2004. ENC 2004..

Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals

Juan Humberto Sossa Azuela, Erik Zamora, Javier Mauricio Antelis, 2019, MCPR.

Low Frequency Response and Random Feature Selection Applied to Face Recognition

Juan Humberto Sossa Azuela, Beatriz A. Garro, Roberto Antonio Vázquez, 2007, ICIAR.

Technology System Architecture for Web-Based Education

Juan Humberto Sossa Azuela, R. Peredo Valderrama, L. Balladares Ocaña, 2011 .

Efficient Pattern Recognition Using the Frequency Response of a Spiking Neuron

Javier González, Juan Humberto Sossa Azuela, Sergio Valadez-Godínez, 2017, MCPR.

3D Object Recognition Based on Some Aspects of the Infant Vision System and Associative Memory

Juan Humberto Sossa Azuela, Beatriz A. Garro, Roberto Antonio Vázquez, 2009, Cognitive Computation.

Geometric Associative Memories and Their Applications to Pattern Classification

Juan Humberto Sossa Azuela, Ricardo Barrón, Benjamín Cruz, 2010, Geometric Algebra Computing.

Semantic Representation and Management of Student Models: An Approach to Adapt Lecture Sequencing to Enhance Learning

Alejandro Peña Ayala, Juan Humberto Sossa Azuela, A. Ayala, 2010, MICAI.

Object recognition by indexing using neural networks

Juan Humberto Sossa Azuela, Patricia Rayón Villela, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

A New Associative Model with Dynamical Synapses

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, R. Vázquez, 2008, Neural Processing Letters.

Circle detection using electro-magnetism optimization pdf

Erik Valdemar Cuevas Jiménez, Juan Humberto Sossa Azuela, Diego Oliva, 2014, Inf. Sci..

MRI segmentation based on region growing with robust estimation

Juan Humberto Sossa Azuela, Fernando A. Barrios, Leopoldo Gonzalez-Santos, 1999, Medical Imaging.

Object counting without conglomerate separation

Giovanni Guzmán, Oleksiy B. Pogrebnyak, Juan Humberto Sossa Azuela, 2003, Proceedings of the Fourth Mexican International Conference on Computer Science, 2003. ENC 2003..

Behavioural study of median associative memory under true-colour image patterns

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, R. Vázquez, 2011, Neurocomputing.

Rock Detection in a Mars-Like Environment Using a CNN

Juan Humberto Sossa Azuela, Víctor Hugo Ponce Ponce, Elsa Rubio-Espino, 2019, MCPR.

Image Retrieval Based on Wavelet Transform and Neural Network Classification

Oleksiy B. Pogrebnyak, Juan Humberto Sossa Azuela, Edgardo Manuel Felipe Riverón, 2007, Computación y Sistemas.

Lyapunov Approach for the stabilization of the Inverted Spherical Pendulum

Juan Humberto Sossa Azuela, Carlos Aguilar Ibáñez, F. Octavio Gutierrez, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

Binary Associative Memories Applied to Gray Level Pattern Recalling

Juan Humberto Sossa Azuela, Ricardo Barrón, Carlos Aguilar Ibáñez, 2004, IBERAMIA.

Dendrite morphological neurons trained by stochastic gradient descent

Juan Humberto Sossa Azuela, Erik Zamora, Erik Zamora, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

An Educational Fuzzy-Based Control Platform Using LEGO Robots

Erik Valdemar Cuevas Jiménez, Juan Humberto Sossa Azuela, Daniel Zaldivar, 2014, ArXiv.

Vertex Codification Applied to 3-D Binary Image Euler Number Computation

Hermilo Sánchez-Cruz, Juan Humberto Sossa Azuela, Víctor Hugo Ponce Ponce, 2019, MICAI.

Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons

Juan Humberto Sossa Azuela, Erik Zamora, Javier Mauricio Antelis, 2018, MLDM.

Dendrite Morphological Neural Networks trained by Differential Evolution

Juan Humberto Sossa Azuela, Erik Zamora, Ricardo Barrón, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

A bio-inspired evolutionary algorithm: allostatic optimisation

Erik Valdemar Cuevas Jiménez, Juan Humberto Sossa Azuela, Diego Oliva, 2016, Int. J. Bio Inspired Comput..

Visión por computadora en un robot móvil tipo oruga

Juan Humberto Sossa Azuela, Elsa Rubio-Espino, Uriel González Escalona, 2017, Res. Comput. Sci..

Invariant Descriptions and Associative Processing Applied to Object Recognition Under Occlusions

Juan Humberto Sossa Azuela, Roberto Antonio Vázquez, Ricardo Barrón, 2005, MICAI.

Hybrid neural networks for big data classification

Juan Humberto Sossa Azuela, Erik Zamora, Gerardo Hernández, 2020, Neurocomputing.

Fuzzy Modeling from Black-Box Data with Deep Learning Techniques

Wen Yu, Juan Humberto Sossa Azuela, Erick De la Rosa, 2017, ISNN.

RiskIPN: Pavement Risk Database for Segmentation with Deep Learning

Juan Humberto Sossa Azuela, Erik Zamora, Uriel Escalona, 2021, MICAI.

Editorial: Advances in Robots Trajectories Learning via Fast Neural Networks

Juan Humberto Sossa Azuela, Yongping Pan, Mu-Yen Chen, 2021, Frontiers in Neurorobotics.

Smooth dendrite morphological neurons

Juan Humberto Sossa Azuela, Wilfrido Gómez-Flores, W. Gómez-Flores, 2020, Neural Networks.

Reactive navigation under a fuzzy rules-based scheme and reinforcement learning for mobile robots

Juan Humberto Sossa Azuela, Elsa Rubio-Espino, Elizabeth López-Lozada, 2021, PeerJ Comput. Sci..

Vision assisted pick and place robotic machine

Juan Humberto Sossa Azuela, Elsa Rubio-Espino, Víctor Hugo Ponce Ponce, 2021, Int. J. Comb. Optim. Probl. Informatics.

A Comparison Study of EEG Signals Classifiers for Inter-subject Generalization

Juan Humberto Sossa Azuela, Erik Zamora, Carlos Emiliano Solórzano-Espíndola, 2021, MCPR.

A Comparative Study of Dendrite Neural Networks for Pattern Classification

Juan Humberto Sossa Azuela, Erik Zamora, Rodrigo Francisco Román Godínez, 2021, Int. J. Comb. Optim. Probl. Informatics.

Editorial: A Brief Panorama of Artificial Intelligence in Mexico

Juan Humberto Sossa Azuela, Osslan Osiris Vergara-Villegas, Manuel Nandayapa, 2021, Int. J. Comb. Optim. Probl. Informatics.

Finding the Optimal Bit-Quad Patterns for Computing the Euler Number of 2D Binary Images Using Simulated Annealing

Juan Humberto Sossa Azuela, Wilfrido Gómez-Flores, Fernando Arce, 2021, MCPR.

Pixel-Wise Classification in Hippocampus Histological Images

Hermilo Sánchez-Cruz, Juan Humberto Sossa Azuela, Alfonso Vizcaíno, 2021, Comput. Math. Methods Medicine.

Advances in Intelligent Learning Environments

Juan Humberto Sossa Azuela, María Lucía Barrón Estrada, Ramón Zatarain Cabada, 2018 .

Stabilization of the Furuta Pendulum Based on a Lyapunov Function

Juan Humberto Sossa Azuela, Carlos Aguilar Ibáñez, 2007 .

Artificial Intelligence for Industry 4.0 in Iberoamerica

Juan Humberto Sossa Azuela, M. Nandayapa, O. Vergara-Villegas, 2021, Computación y Sistemas.

Neuron cell count with deep learning in highly dense hippocampus images

Juan Humberto Sossa Azuela, Hermilo Sánchez-Cruz, J. Quintanar, 2022, Expert Systems with Applications.

Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)

Erik Cuevas, Juan Humberto Sossa Azuela, Marco Pérez-Cisneros, 2013, Appl. Soft Comput..

Human Face Identification Using Invariant Descriptions and a Genetic Algorithm

Juan Humberto Sossa Azuela, Raúl Pinto Elías, 1998, IBERAMIA.

Implementation of Kalman Filtering with Spiking Neural Networks

Juan Humberto Sossa Azuela, V. H. Ponce-Ponce, H. Molina-Lozano, 2022, Sensors.

Handcraft and Automatic Approaches for the Recognition of Leukemia Images

Juan Humberto Sossa Azuela, R. Ochoa-Montiel, Gustavo Olague, 2020, Res. Comput. Sci..

Residual 3D Convolutional Neural Network to Enhance Sinograms from Small-Animal Positron Emission Tomography Images

Juan Humberto Sossa Azuela, Leandro José Rodríguez Hernández, O. Vergara-Villegas, 2023, Pattern Recognition Letters.

Auto Guided Vehicle Control using Expanded Time B- Splines

Juan Humberto Sossa Azuela, Benjamin Vizquez, J. Humberto, 1994 .

Teaching Basic Concepts: Geometric Forms and Colors on a NAO Robot Platform

Juan Humberto Sossa Azuela, Humberto Sossa, Diana Olvera, 2019, Res. Comput. Sci..

New Explainability Method based on the Classification of Useful Regions in an Image

Juan Humberto Sossa Azuela, Tonantzin Marcayda Guerrero Velázquez, 2021, Computación y Sistemas.

Reconstrucción autónoma de un mapa métrico de una pista de competencias usando visión artificial

Juan Humberto Sossa Azuela, Esther Diaz Sarmientos, Alberto Petrilli-Barceló, 2020, Res. Comput. Sci..