Special Isssue on Deep Learning


IEEE Latin America Transactions

Special Issue on Deep Learning

Deep Learning (DL) has emerged as an option in industrial applications, has resulted in significant groundbreaking advances in technology and has opened countless avenues to improve the understanding of its underlying principles. However, to take full advantage of this technology, we need to increase its visibility to stimulate its widespread adoption. DL refers to the establishment of mappings between input an output data constructed as hierarchies of complex concepts on top of simpler ones. Generally associated with artificial neural networks, include, among others subfields, convolutional neural networks, recurrent neural networks, and reinforcement learning.  Among other things, researchers have utilized DL successfully to detect cancer in mammographies at human expert levels, create the best computer programs in chess, and synthesize speech from neural activity. Due to their impact in a broad range of disciplines, it is imperative for the development of Latin America countries to extend its adoption and promote awareness about is potential.

The purpose of this Special Issue is to provide a forum for the researchers and practitioners related to the rapidly developing field of DL to share their novel and original research of the topic. Therefore, we encourage the submission of the practitioners’ latest unpublished work on DL. Of our particular interest is the developments from research groups in Latin America. The areas of interest include both theory and applications on the following topics (they are not limited to):

  • Applications of Deep Learning to solve specific problems of Latin America
  • Autoencoders
  • DL Optimization
  • DL Regularization
  • Generative Adversarial Networks
  • Implementation and design of DL systems
  • Large Scale DL
  • Object Detection
  • Recurrent Neural Networks
  • Reinforcement Learning
  • Semantic Segmentation
  • Transfer Learning

Call for papers: June 10, 2019

Submissions Deadline: September  9, 2019                          Notification of Acceptance: November 25, 2019 Final Manuscript Due: December 9, 2019                                        Publication Date: January 2020


Authors must submit all original manuscripts electronically through the system at  Original submissions must not be currently under consideration for publication in other Journals nor be part of Conference proceedings. Authors can find the guidelines and submission information at

Guest Editors

Joaquín Salas, IPN, México

Francisco Martínez INAOE, México,

Flávio de Barros Vidal, UnB, Brazil.

Guest Editorial Board

  1. Fernando Alonso-Fernandez Halmstad University, Sweden
  2. Dibio L. Borges, University of Brasilia, Brazil,
  3. Ariel Carrasco Ochoa, Instituto Nacional de Astrofísica, Optica y Electrónica, México,
  4. Adrião Duarte, universidade federal do rio grande do norte,
  5. Joel González Barbosa, Instituto Politécnico Nacional, México,
  6. Angel Kuri, Instituto Tecnológico Autónomo de México, México,
  7. Teresa Bernarda Ludermir, Universidade Federal de Pernambuco,
  8. David Menotti Gomes Federal University of Paraná, Brazil,
  9. José Maurício Motta University of Brasília, Brazil,
  10. Moacir Antonelli Ponti, Universidade de São Paulo,
  11. Bogdan Raducanu, Computer Vision Center, Spain,
  12. Edgar Román-Rangel, Instituto Tecnológico Autónomo de México, México.
  13. Angel D. Sappa, ESPOL Polytechnic University (Ecuador) and Computer Vision Center (Spain),
  14. Humberto Sossa, Instituto Politécnico Nacional, México,
  15. Jordi Vitrià Marca Universitat de Barcelona.



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Vol 16 No 11 (2018): Ordinary Issue
Published: 2019-06-06


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