Researcher

De Almeida e Santos Nogueira, R.J.

Assistant Professor

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  1. 2018
  2. Published
    De Almeida e Santos Nogueira, R. J., & Bastürk, N. (2018). Forecasting Directional Change Uncertainty Using Probabilistic Fuzzy Systems. In Proceedings of the 2018 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE 2018 (pp. 1-8). IEEE.
  3. 2017
  4. Published
    Almeida, R. J., van Loon, S., Kaymak, U., Wilbik, A., Scharnhorst, V., & Boer, A-K. (2017). Modeling Patients’ Methylmalonic Acid Levels using Probabilistic Fuzzy Systems. 1-6. Paper presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, Italy. https://doi.org/10.1109/FUZZ-IEEE.2017.8015766
  5. 2016
  6. Published
    De Almeida e Santos Nogueira, R. J., Bastürk, N., Kaymak, U., & Sousa, J. M. C. (2016). Analysis of probabilistic fuzzy systems' parameters in conditional density estimation. In Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on Fuzzy Systems (pp. 2136-2143) https://doi.org/10.1109/FUZZ-IEEE.2016.7737955
  7. Published
    Bastürk, N., & De Almeida e Santos Nogueira, R. J. (2016). Time Varying Correlation Estimation Using Probabilistic Fuzzy Systems. In J. P. Carvalho, M-J. Lesot, U. Kaymak, S. Vieira, B. Bouchon-Meunier, & R. R. Yager (Eds.), Communications in Computer and Information Science: Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2016. (Vol. 611, pp. 752-763). (Communications in Computer and Information Science; Vol. 611). Cham: Springer. https://doi.org/10.1007/978-3-319-40581-0_61