Paulo Fernandes

Academic Title

Program Director & Professor of Practice

  • Stochastic Models
  • Natural Language Processing
  • Computer Science in Multidisciplinary Environments

  • Ph.D. Computer Science, INP Grenoble, France
  • M.Sc. Computer Science, UFRGS, Brazil
  • B.Sc. Computer Science, UFRGS, Brazil

  • Simulation, Analytical, and Numerical Methods to Solve Markovian Models
  • Machine Learning, Data Mining Algorithms, and Natural Language Processing
  • Software Engineering Modeling and Metrics
  • Algorithms and Programming Languages

LOPES, L.; DURAN, M. S.; FERNANDES, P.; PARDO, T. A. S. PortiLexicon-UD: a Portuguese Lexical Resource according to Universal Dependencies Model. In: 13th Language Resources and Evaluation Conference (LREC 2022), Marseille, France, 2022.

ASSUNÇÃO, J.; FERNANDES, P.; VINCENT, J.M. Piecewise Aggregation for HMM Fitting: A Pre-Fitting Model for Seamless Integration with Time-Series Data. International Journal of Software Engineering and Knowledge Engineering, v. 29(11&12), p. 1835-1850, 2019.

ASSUNÇÃO, J.; FERNANDES, P.; LOPES, L. Language Independent POS-tagging Using Automatically Generated Markov Chains. In: Thirty-First International Conference on Software Engineering and Knowledge Engineering (SEKE 2019), Lisbon, Portugal, 2019.

CZEKSTER, R.; FERNANDES, P.; LOPES, L.; SANTOS, A. R.; SALES, A.; WEBBER, T. Stochastic Performance Analysis of Global Software Development Teams. ACM Transactions on Software Engineering Methodology, v. 25 (3), p. 26:1-26:32, 2016.

LOPES, L.; FERNANDES, P.; VIEIRA, R. Estimating term domain relevance through term frequency, disjoint corpora frequency – tf-dcf. Knowledge-based Systems, v. 97 p. 237-249, 2016.

  • A​lgorithms and Discrete Structures – Masters in Computer Science​
  • Advanced Algorithms – Masters in Computer Science​
  • Systems and Languages Survey – Masters in Computer Science