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Tiago Gonçalves
PeerJ Author & Reviewer
35 Points

Contributions by role

Reviewer 35

Contributions by subject area

Data Mining and Machine Learning
Data Science

Tiago Gonçalves

PeerJ Author & Reviewer

Summary

Tiago received his MSc in Bioengineering (Biomedical Engineering) from Faculdade de Engenharia da Universidade do Porto (FEUP) in 2019. Currently, he is a PhD student in Electrical and Computer Engineering at FEUP and a research assistant at the Centre for Telecommunications and Multimedia of INESC TEC with the Visual Computing & Machine Intelligence (VCMI) Research Group. His research interests include machine learning, explainable artificial intelligence (in-model approaches), computer vision, medical decision support systems, and machine learning deployment. Besides working, he enjoys practising Karate-Do Shotokai or reading about life, philosophy, economy, politics or fundamental science. Moreover, he does not refuse a good TV series or a good film (preferably at the cinema).

Computer Vision Data Mining & Machine Learning Data Science

Past or current institution affiliations

Universidade do Porto

Work details

Research Assistant

Institute for Systems and Computer Engineering, Technology and Science
Centre for Telecommunications and Multimedia

Identities

@GalvesTiago

Websites

  • GitHub
  • LinkedIn
  • Google Scholar
  • Personal Website

PeerJ Contributions

  • Reviewed 1

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

July 5, 2021
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman
https://doi.org/10.7717/peerj-cs.623