• 1427 Citations
  • 18 h-Index
1987 …2020
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Personal profile

Research Interests

PROCESAMIENTO DE IMAGENES Y VISION INFORMATICA, CIENCIAS DE LA COMPUTACION, CIENCIAS DE LA TECNOLOGIA, CIENCIAS DE LA INGENIERÍA

EDI

  • EDI 9

SNI Level

  • SNI 3

Fingerprint Dive into the research topics where J. H. Sossa-Azuela is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Neural networks Engineering & Materials Science
Data storage equipment Engineering & Materials Science
Associative Memory Mathematics
Pattern recognition Engineering & Materials Science
Neurons Engineering & Materials Science
Object recognition Engineering & Materials Science
Binary images Engineering & Materials Science
Neural Networks Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1987 2020

On the accuracy and computational cost of spiking neuron implementation

Valadez-Godínez, S., Sossa, H. & Santiago-Montero, R., Feb 2020, In : Neural Networks. 122, p. 196-217 22 p.

Research output: Contribution to journalArticle

Neurons
Costs and Cost Analysis
Costs
Computer Systems
Multiobjective optimization

Dendrite ellipsoidal neurons based on k-means optimization

Arce, F., Zamora, E., Fócil-Arias, C. & Sossa, H., 1 Sep 2019, In : Evolving Systems. 10, 3, p. 381-396 16 p.

Research output: Contribution to journalArticle

Dendrite
K-means
Neurons
Neuron
Perceptron

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

Arce, F., Mendoza-Montoya, O., Zamora, E., Antelis, J. M., Sossa, H., Cantillo-Negrete, J., Carino-Escobar, R. I., Hernández, L. G. & Falcón, L. E., 1 Jan 2019, Pattern Recognition - 11th Mexican Conference, MCPR 2019, Proceedings. Carrasco-Ochoa, J. A., Martínez-Trinidad, J. F., Olvera-López, J. A. & Salas, J. (eds.). Springer Verlag, p. 80-88 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11524 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Stochastic Gradient
Dendrite
Gradient Descent
Neurons
Neuron

Fully convolutional networks for automatic pavement crack segmentation

Escalona, U., Arce, F., Zamora, E. & Sossa, H., 1 Jan 2019, In : Computacion y Sistemas. 23, 2, p. 451-460 10 p.

Research output: Contribution to journalArticle

Pavements
Crack detection
Cracks
Computer vision
Computational fluid dynamics
3 Citations (Scopus)
Open Access
gait
Reinforcement learning
reinforcement
robots
learning

Press/Media