Humberto Sossa

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 69

Top Venues

MCPR

CoRR

Neurocomputing

Frontiers Neurorobotics

Grenoble Institute of Technology, France (PHD)

Education History

Grenoble Institute of Technology, France

PHD

Publications

Tat'y Mwata-Velu, Erik Zamora, Juan Irving Vasquez-Gomez, José Ruiz-Pinales, Humberto Sossa
Multiclass Classification of Visual Electroencephalogram Based on Channel Selection, Minimum Norm Estimation Algorithm, and Deep Network Architectures. Sensors 24 (12) (2024)
Donaldo Garcia, José de Jesús Rubio, Humberto Sossa, Jaime Pacheco, Guadalupe Juliana Gutierrez, Carlos Aguilar Ibáñez
Electricity consumption modeling by a chaotic convolutional radial basis function network. J. Supercomput. 80 (5) (2024)
Samuel Omar Tovias-Alanis, Humberto Sossa, Wilfrido Gómez-Flores
Learning smooth dendrite morphological neurons for pattern classification using linkage trees and evolutionary-based hyperparameter tuning. Pattern Recognit. Lett. 172 (2023)
Wilfrido Gómez-Flores, Humberto Sossa
Learning smooth dendrite morphological neurons by stochastic gradient descent for pattern classification. Neural Networks 168 (2023)
Radu Horaud, Humberto Sossa
Polyhedral Object Recognition by Indexing. CoRR (2023)
Wilfrido Gómez-Flores, Humberto Sossa
Improving the Classification Performance of Dendrite Morphological Neurons. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Rocio Ochoa-Montiel, Humberto Sossa, Gustavo Olague, Carlos Sánchez-López
Automatic Recognition of Leukemia AML Using Evolutionary Vision. Computación y Sistemas (CyS) 27 (1) (2023)
Fernando Arce, Wilfrido Gómez-Flores, Uriel Escalona, Humberto Sossa
Learning an artificial neural network to discover bit-quad-based formulas to compute basic object properties. Pattern Recognit. 142 (2023)
José Antonio Barraza-Madrigal, Lauro Armando Contreras Rodríguez, Eladio Cardiel Pérez, Pablo Rogelio Hernández Rodríguez, Humberto Sossa
Title: Hip and lower limbs 3D motion tracking using a double-stage data fusion algorithm for IMU/MARG-based wearables sensors. Biomed. Signal Process. Control. 86 (Part A) (2023)
Alejandro Juárez-Lora, Luis M. García-Sebastián, Víctor Hugo Ponce Ponce, Elsa Rubio-Espino, Herón Molina-Lozano, Humberto Sossa
Implementation of Kalman Filtering with Spiking Neural Networks. Sensors 22 (22) (2022)
Fernando Arce Vega, Wilfrido Gómez-Flores, Humberto Sossa, Uriel Escalona
Machine Learning-based Formulas for Computing the Euler Characteristic of Binary Images. Int. J. Comb. Optim. Probl. Informatics 13 (3) (2022)
Rocío Ochoa-Montiel, Humberto Sossa, Gustavo Olague, Carlos Sánchez-López
Machine Learning and Symbolic Learning for the Recognition of Leukemia L1, L2 and L3. MCPR (2022)
Alfonso Vizcaíno, Hermilo Sánchez-Cruz, Humberto Sossa, J. Luis Quintanar
Neuron cell count with deep learning in highly dense hippocampus images. Expert Syst. Appl. 208 (2022)
Luis M. García-Sebastián, Víctor Hugo Ponce Ponce, Humberto Sossa, Elsa Rubio-Espino, José A. Martínez-Navarro
Neuromorphic Signal Filter for Robot Sensoring. Frontiers Neurorobotics 16 (2022)
Alejandro Juárez-Lora, Víctor Hugo Ponce Ponce, Humberto Sossa, Elsa Rubio-Espino
R-STDP Spiking Neural Network Architecture for Motion Control on a Changing Friction Joint Robotic Arm. Frontiers Neurorobotics 16 (2022)
Yoqsan Angeles-García, Hiram Calvo, Humberto Sossa, Álvaro Anzueto-Ríos
Dynamic balance of a bipedal robot using neural network training with simulated annealing. Frontiers Neurorobotics 16 (2022)
Wilfrido Gómez-Flores, Humberto Sossa, Fernando Arce
Finding the Optimal Bit-Quad Patterns for Computing the Euler Number of 2D Binary Images Using Simulated Annealing. MCPR (2021)
Rocío Ochoa-Montiel, Gustavo Olague, Humberto Sossa
Towards explainable artificial intelligence for the leukemia subtype recognition. LA-CCI (2021)
Carlos Emiliano Solórzano-Espíndola, Humberto Sossa, Erik Zamora
A Comparison Study of EEG Signals Classifiers for Inter-subject Generalization. MCPR (2021)
Uriel Escalona, Erik Zamora, Humberto Sossa
RiskIPN: Pavement Risk Database for Segmentation with Deep Learning. MICAI (1) (2021)
José Luis Arévalo-Hernández, Elsa Rubio-Espino, Víctor Hugo Ponce Ponce, Humberto Sossa
Vision assisted pick and place robotic machine. Int. J. Comb. Optim. Probl. Informatics 12 (3) (2021)
Carlos Emiliano Solórzano-Espíndola, Erik Zamora, Humberto Sossa
Multi-subject classification of Motor Imagery EEG signals using transfer learning in neural networks. EMBC (2021)
Rodrigo Francisco Román Godínez, Erik Zamora, Humberto Sossa
A Comparative Study of Dendrite Neural Networks for Pattern Classification. Int. J. Comb. Optim. Probl. Informatics 12 (3) (2021)
Wilfrido Gómez-Flores, Humberto Sossa
Smooth dendrite morphological neurons. Neural Networks 136 (2021)
Rocío Ochoa-Montiel, Humberto Sossa, Gustavo Olague, Mariana Chan-Ley, José Menendez
Symbolic Learning using Brain Programming for the Recognition of Leukemia Images. Computación y Sistemas 25 (4) (2021)
Alfonso Vizcaíno, Hermilo Sánchez-Cruz, Humberto Sossa, J. Luis Quintanar
Pixel-Wise Classification in Hippocampus Histological Images. Comput. Math. Methods Medicine 2021 (2021)
Gerardo Hernández, Erik Zamora, Humberto Sossa, Germán Téllez, Federico Furlán Colón
Hybrid neural networks for big data classification. Neurocomputing 390 (2020)
Sergio Valadez-Godínez, Humberto Sossa, Raúl Santiago-Montero
On the accuracy and computational cost of spiking neuron implementation. Neural Networks 122 (2020)
Federico Furlán Colón, Elsa Rubio-Espino, Humberto Sossa, Víctor Hugo Ponce Ponce
CNN Based Detectors on Planetary Environments: A Performance Evaluation. Frontiers Neurorobotics 14 (2020)
Rocío Ochoa-Montiel, Leonardo Martínez Ibarra, Humberto Sossa, Gustavo Olague
Handcraft and Automatic Approaches for the Recognition of Leukemia Images. Res. Comput. Sci. 149 (11) (2020)
Víctor Rubén Virgilio-González, Humberto Sossa, Erik Zamora
Vision-Based Blind Spot Warning System by Deep Neural Networks. MCPR (2020)
Rocío Ochoa-Montiel, O. Flores-Castillo, Humberto Sossa, Gustavo Olague
Automatic Contrast Enhancement with Differential Evolution for Leukemia Cell Identification. MCPR (2019)
Federico Furlán Colón, Elsa Rubio-Espino, Humberto Sossa, Víctor Hugo Ponce Ponce
Rock Detection in a Mars-Like Environment Using a CNN. MCPR (2019)
Manuel Mejía-Lavalle, Kevin S. Aguilar Domínguez, Humberto Sossa, Dante Mújica, Andrea Magadán Salazar
Modelos neuronales pulsantes adaptados para el mejoramiento de luminosidad de imágenes cerebrales de gran resolución. Res. Comput. Sci. 148 (7) (2019)
Gerardo Hernández, Luis G. Hernández, Erik Zamora, Humberto Sossa, Javier Mauricio Antelis, Omar Mendoza-Montoya, Luis Eduardo Falcón
Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals. MCPR (2019)
Humberto Sossa, Elsa Rubio-Espino, Víctor Hugo Ponce Ponce, Hermilo Sánchez-Cruz
Vertex Codification Applied to 3-D Binary Image Euler Number Computation. MICAI (2019)
Fernando Arce, Erik Zamora, Carolina Fócil Arias, Humberto Sossa
Dendrite ellipsoidal neurons based on k-means optimization. Evol. Syst. 10 (3) (2019)
Roberto Rodríguez, Yasel Garcés Suárez, Esley Torres, Humberto Sossa, Rubén Tovar
A vision from a physical point of view and the information theory on the image segmentation. J. Intell. Fuzzy Syst. 37 (2) (2019)
Fernando Arce, Omar Mendoza-Montoya, Erik Zamora, Javier Mauricio Antelis, Humberto Sossa, Jessica Cantillo-Negrete, Ruben I. Carino-Escobar, Luis G. Hernández, Luis Eduardo Falcón
Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification. MCPR (2019)
Carlos Daniel Virgilio Gonzalez, Humberto Sossa, Javier Mauricio Antelis, Luis Eduardo Falcón
Motor Imagery Task Classification in EEG Signals with Spiking Neural Network. MCPR (2019)
Diana Olvera, Uriel Escalona, Humberto Sossa
Teaching Basic Concepts: Geometric Forms and Colors on a NAO Robot Platform. Res. Comput. Sci. 148 (10) (2019)
Joel García, Erik Zamora, Humberto Sossa
Supervised and Unsupervised Neural Networks: Experimental Study for Anomaly Detection in Electrical Consumption. MICAI (1) (2018)
Gerardo Hernández, Erik Zamora, Humberto Sossa
Morphological-Linear Neural Network. FUZZ-IEEE (2018)
Javier Mauricio Antelis, Berenice Gudiño-Mendoza, Luis Eduardo Falcón, Gildardo Sánchez-Ante, Humberto Sossa
Dendrite morphological neural networks for motor task recognition from electroencephalographic signals. Biomed. Signal Process. Control. 44 (2018)
Agustin Sancen-Plaza, Raúl Santiago-Montero, Humberto Sossa, Francisco J. Pérez-Pinal, Juan J. Martinez-Nolasco, José-Amelio Medina-Merodio
Quantitative evaluation of binary digital region asymmetry with application to skin lesion detection. BMC Medical Informatics Decis. Mak. 18 (1) (2018)
Fernando Arce, Erik Zamora, Gerardo Hernández, Javier Mauricio Antelis, Humberto Sossa
Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons. MLDM (2) (2018)
Julián Jerónimo, Humberto Sossa
Reconocimiento de objetos cuasi-planos mediante un sistema de tratamiento digital de imágenes embebido en una plataforma tipo Raspberry Pi. Res. Comput. Sci. 147 (4) (2018)
Erick Cabrera, Humberto Sossa
Generating exponentially stable states for a Hopfield Neural Network. Neurocomputing 275 (2018)
Guillermo Puriel-Gil, Wen Yu, Humberto Sossa
Reinforcement Learning Compensation based PD Control for Inverted Pendulum. CCE (2018)
Fernando Arce, Erik Zamora, Humberto Sossa, Ricardo Barrón
Differential evolution training algorithm for dendrite morphological neural networks. Appl. Soft Comput. 68 (2018)
Osvaldo A. Tapia-Dueñas, Hermilo Sánchez-Cruz, Hiram H. López, Humberto Sossa
Coding 3D Connected Regions with F26 Chain Code. MICAI (2) (2018)
Fernando Arce, Erik Zamora, Humberto Sossa
Dendrite Ellipsoidal Neuron. IJCNN (2017)
Erick De la Rosa, Wen Yu, Humberto Sossa
Fuzzy Modeling from Black-Box Data with Deep Learning Techniques. ISNN (1) (2017)
Sergio Valadez-Godínez, Javier González, Humberto Sossa
Efficient Pattern Recognition Using the Frequency Response of a Spiking Neuron. MCPR (2017)
Leonardo Delgado, Gerardo Hernández, Erik Zamora, Humberto Sossa, Aldrin Barreto, Francisco Ramos Collazo, Rosalina Reyes
Classification of the estrous cycle through texture and shape features. SSCI (2017)
Erik Zamora, Humberto Sossa
Dendrite morphological neurons trained by stochastic gradient descent. Neurocomputing 260 (2017)
Gerardo Hernández, Erik Zamora, Humberto Sossa
Comparing Deep and Dendrite Neural Networks: A Case Study. MCPR (2017)
Humberto Sossa
On the Computation of the Number of Bubbles and Tunnels of a 3-D Binary Object. ICPRAM (2016)
Yerania Campos, Humberto Sossa, Gonzalo Pajares
Spatio-temporal analysis for obstacle detection in agricultural videos. Appl. Soft Comput. 45 (2016)
Humberto Sossa, Ángel Carreón, Raúl Santiago-Montero
Training a Multilayered Perceptron to Compute the Euler Number of a 2-D Binary Image. MCPR (2016)
Berenice Gudiño-Mendoza, Humberto Sossa, Gildardo Sánchez-Ante, Javier Mauricio Antelis
Classification of Motor States from Brain Rhythms Using Lattice Neural Networks. MCPR (2016)
Humberto Sossa, Hermilo Sánchez-Cruz
Computing the Number of Bubbles and Tunnels of a 3-D Binary Object. ICPRAM (Revised Selected Papers) (2016)
Humberto Sossa, Ángel Carreón, Elizabeth Guevara, Raúl Santiago-Montero
Computing the 2-D image euler number by an Artificial Neural Network. IJCNN (2016)
Erik Zamora, Humberto Sossa
Dendrite morphological neurons trained by stochastic gradient descent. SSCI (2016)
Valentín Osuna-Enciso, Erik Cuevas, Diego Oliva, Humberto Sossa, Marco A. Pérez Cisneros
A bio-inspired evolutionary algorithm: allostatic optimisation. Int. J. Bio Inspired Comput. 8 (3) (2016)
Yerania Campos, Erik Rodner, Joachim Denzler, Humberto Sossa, Gonzalo Pajares
Vegetation Segmentation in Cornfield Images Using Bag of Words. ACIVS (2016)
Fernando Arce, Erik Zamora, Humberto Sossa, Ricardo Barrón
Dendrite Morphological Neural Networks trained by Differential Evolution. SSCI (2016)
Ricardo Ocampo-Vega, Gildardo Sánchez-Ante, Luis E. Falcón-Morales, Humberto Sossa
Automatic Construction of Radial-Basis Function Networks Through an Adaptive Partition Algorithm. MCPR (2016)
Ricardo Ocampo-Vega, Gildardo Sánchez-Ante, Marco A. de Luna, Roberto Vega, Luis E. Falcón-Morales, Humberto Sossa
Improving pattern classification of DNA microarray data by using PCA and logistic regression. Intell. Data Anal. 20 (s1) (2016)
Carlos Garibay, Gildardo Sánchez-Ante, Luis Falcón-Morales, Humberto Sossa
Modified Binary Inertial Particle Swarm Optimization for Gene Selection in DNA Microarray Data. MCPR (2015)
Roberto Vega, Gildardo Sánchez-Ante, Luis Falcón-Morales, Humberto Sossa, Elizabeth Guevara
Retinal vessel extraction using Lattice Neural Networks with dendritic processing. Comput. Biol. Medicine 58 (2015)
Leonardo Ojeda, Roberto Vega, Luis Eduardo Falcón, Gildardo Sánchez-Ante, Humberto Sossa, Javier Mauricio Antelis
Classification of Hand Movements from Non-invasive Brain Signals Using Lattice Neural Networks with Dendritic Processing. MCPR (2015)
Humberto Sossa
On the number of holes of a 2-D binary object. MVA (2015)
Sergio Valadez, Humberto Sossa, Raúl Santiago-Montero, Elizabeth Guevara
Encoding Polysomnographic Signals into Spike Firing Rate for Sleep Staging. MCPR (2015)
Erik Cuevas, Daniel Zaldivar, Marco A. Pérez Cisneros, Humberto Sossa, Valentín Osuna-Enciso
Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC). CoRR (2014)
Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco A. Pérez Cisneros, Humberto Sossa
Circle detection using electro-magnetism optimization. CoRR (2014)
Ricardo Ocampo-Vega, Marco A. de Luna, Roberto Vega, Gildardo Sánchez-Ante, Luis Falcón-Morales, Humberto Sossa
Pattern Analysis in DNA Microarray Data through PCA-Based Gene Selection. CIARP (2014)
Erik Cuevas, Felipe Sención-Echauri, Daniel Zaldivar, Marco A. Pérez Cisneros, Humberto Sossa
A Multi-threshold Segmentation Approach Based on Artificial Bee Colony Optimization. CoRR (2014)
Alejandro Peña Ayala, Humberto Sossa, Ignacio Méndez
Activity theory as a framework for building adaptive e-learning systems: A case to provide empirical evidence. Comput. Hum. Behav. 30 (2014)
Humberto Sossa, Griselda Cortés, Elizabeth Guevara
New Radial Basis Function Neural Network Architecture for Pattern Classification: First Results. CIARP (2014)
Valentín Osuna-Enciso, Erik Cuevas, Humberto Sossa
A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation. CoRR (2014)
Humberto Sossa, Elizabeth Guevara
Efficient training for dendrite morphological neural networks. Neurocomputing 131 (2014)
Roberto Vega, Elizabeth Guevara, Luis Eduardo Falcón, Gildardo Sánchez-Ante, Humberto Sossa
Blood Vessel Segmentation in Retinal Images Using Lattice Neural Networks. MICAI (1) (2013)
Humberto Sossa, Elizabeth Guevara
Modified Dendrite Morphological Neural Network Applied to 3D Object Recognition on RGB-D Data. HAIS (2013)
Roberto Rodríguez, Esley Torres, Yasel Garcés Suárez, Osvaldo Pereira, Humberto Sossa
A new stopping criterion for the mean shift iterative algorithm. CoRR (2013)
Erik Cuevas, Daniel Zaldivar, Marco A. Pérez Cisneros, Humberto Sossa, Valentín Osuna-Enciso
Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC). Appl. Soft Comput. 13 (6) (2013)
Humberto Sossa, Elizabeth Guevara
Modified Dendrite Morphological Neural Network Applied to 3D Object Recognition. MCPR (2013)
Ricardo Ocampo-Vega, Gildardo Sánchez-Ante, Luis Falcón-Morales, Humberto Sossa
Image Processing for Automatic Reading of Electro-Mechanical Utility Meters. MICAI (Special Sessions) (2013)
Valentín Osuna-Enciso, Erik Cuevas, Humberto Sossa
A comparison of nature inspired algorithms for multi-threshold image segmentation. Expert Syst. Appl. 40 (4) (2013)
Beatriz A. Garro, Humberto Sossa, Roberto Antonio Vázquez
Diseño automático de redes neuronales artificiales mediante el uso del algoritmo de evolución diferencial (ED). Polibits 46 (2012)
Julio F. Jiménez Vielma, Humberto Sossa, Francisco J. Cuevas
Particle Swarm Optimization Applied to Interferogram Demodulation. EVOLVE (2012)
Erik Cuevas, Humberto Sossa, Valentín Osuna-Enciso, Daniel Zaldivar, Marco A. Pérez Cisneros
Fast Circle Detection Using Harmony Search Optimization. EVOLVE (2012)
Laura Elena Gómez Sánchez, Humberto Sossa, Ricardo Barrón, Julio F. Jiménez Vielma
A new methodology for music retrieval based on dynamic neural networks. Int. J. Hybrid Intell. Syst. 9 (1) (2012)
Erik Cuevas, Felipe Sención-Echauri, Daniel Zaldivar, Marco A. Pérez Cisneros, Humberto Sossa
A multi-threshold segmentation approach based on Artificial Bee Colony optimization. Appl. Intell. 37 (3) (2012)
Humberto Sossa, Beatriz A. Garro, Juan Villegas-Cortéz, Gustavo Olague, Carlos Avilés-Cruz
Evolutionary Computation Applied to the Automatic Design of Artificial Neural Networks and Associative Memories. EVOLVE (2012)
Julio F. Jiménez Vielma, Humberto Sossa, Francisco J. Cuevas, Laura Elena Gómez Sánchez
Demodulation of Interferograms based on Particle Swarm Optimization. Polibits 45 (2012)
Humberto Sossa, Beatriz A. Garro, Juan Villegas-Cortéz, Carlos Avilés-Cruz, Gustavo Olague
Automatic Design of Artificial Neural Networks and Associative Memories for Pattern Classification and Pattern Restoration. MCPR (2012)
Valentín Osuna-Enciso, Erik Cuevas, Humberto Sossa
Segmentation of Blood Cell Images Using Evolutionary Methods. EVOLVE (2012)
Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco A. Pérez Cisneros, Humberto Sossa
Circle detection using electro-magnetism optimization. Inf. Sci. 182 (1) (2012)
Beatriz A. Garro, Humberto Sossa, Roberto Antonio Vázquez
Evolving Neural Networks: A Comparison between Differential Evolution and Particle Swarm Optimization. ICSI (1) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Humberto Sossa