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Research Output 2016 2018

  • 2 Conference article in proceeding
  • 1 Chapter
  • 1 Paper
2018

Forecasting Directional Change Uncertainty Using Probabilistic Fuzzy Systems

De Almeida e Santos Nogueira, R. J. & Bastürk, N., 2018, Proceedings of the 2018 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE 2018. IEEE, p. 1-8

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

2017

Modeling Patients’ Methylmalonic Acid Levels using Probabilistic Fuzzy Systems

Almeida, R. J., van Loon, S., Kaymak, U., Wilbik, A., Scharnhorst, V. & Boer, A-K., 2017, p. 1-6. 6 p.

Research output: Contribution to conferencePaperAcademic

2016

Analysis of probabilistic fuzzy systems' parameters in conditional density estimation

De Almeida e Santos Nogueira, R. J., Bastürk, N., Kaymak, U. & Sousa, J. M. C., 2016, Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on Fuzzy Systems. p. 2136-2143

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

1 Citation (Scopus)

Time Varying Correlation Estimation Using Probabilistic Fuzzy Systems

Bastürk, N. & De Almeida e Santos Nogueira, R. J., 2016, Communications in Computer and Information Science: Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2016.. Carvalho, J. P., Lesot, M-J., Kaymak, U., Vieira, S., Bouchon-Meunier, B. & Yager, R. R. (eds.). Cham: Springer, Vol. 611. p. 752-763 (Communications in computer and information science, Vol. 611).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic