A New Feature Selection Criterion for Fuzzy Classification. - Rui Jorge Almeida; Carlos A. Silva 001; João M. C. Sousa (FUZZ-IEEE, 2006)

Fuzzy rule extraction from typicality and membership partitions. - Rui Jorge Almeida; Uzay Kaymak; João M. C. Sousa (FUZZ-IEEE, 2008)

Value-at-Risk Estimation with Fuzzy Histograms. - Rui Jorge Almeida; Uzay Kaymak (HIS, 2008)

Tail Point Density Estimation Using Probabilistic Fuzzy Systems. - Rui Jorge Almeida; Uzay Kaymak (IFSA/EUSFLAT Conf., 2009)

Knowledge Discovery in the Prediction of Bankruptcy. - Rui Jorge Almeida; Susana M. Vieira; Viorel Milea; Uzay Kaymak; João Miguel da Costa Sousa (IFSA/EUSFLAT Conf., 2009)

Modeling Investor Optimism with Fuzzy Connectives. - Milan Lovric; Rui Jorge Almeida; Uzay Kaymak; Jaap Spronk (IFSA/EUSFLAT Conf., 2009)

Probabilistic fuzzy systems in value-at-risk estimation. - Rui Jorge Almeida; Uzay Kaymak (Intell. Syst. Account. Finance Manag., 2009)

A new approach to dealing with missing values in data-driven fuzzy modeling. - Rui Jorge Almeida; Uzay Kaymak; João M. C. Sousa (FUZZ-IEEE, 2010)

A fuzzy model of the MSCI EURO index based on content analysis of European Central Bank statements. - Viorel Milea; Rui Jorge Almeida; Uzay Kaymak; Flavius Frasincar (FUZZ-IEEE, 2010)

TS-Models from Evidential Clustering. - Rui Jorge Almeida; Uzay Kaymak (IPMU (1), 2010)

Prediction of the MSCI EURO index based on fuzzy grammar fragments extracted from European Central Bank statements. - Viorel Milea; Nurfadhlina Mohd Sharef; Rui Jorge Almeida; Uzay Kaymak; Flavius Frasincar (SoCPaR, 2010)

A fuzzy model of a European index based on automatically extracted content information. - Viorel Milea; Rui Jorge Almeida; Uzay Kaymak; Flavius Frasincar (CIFEr, 2011)

Predicting septic shock outcomes in a database with missing data using fuzzy modeling: Influence of pre-processing techniques on real-world data-based classification. - Ruben D. M. A. Pereira; André S. Fialho; Federico Cismondi; Susana M. Vieira; João M. C. Sousa; Rui Jorge Almeida; Uzay Kaymak; Shane R. Reti; Michael D. Howell; Stan N. Finkelstein (FUZZ-IEEE, 2011)

A multi-covariate semi-parametric conditional volatility model using probabilistic fuzzy systems. - Rui Jorge Almeida; Nalan Bastürk; Uzay Kaymak; Viorel Milea (CIFEr, 2012)

Probabilistic fuzzy prediction of mortality in intensive care units. - André S. Fialho; Uzay Kaymak; Rui Jorge Almeida; Federico Cismondi; Susana M. Vieira; Shane R. Reti; João M. C. Sousa; Stan N. Finkelstein (FUZZ-IEEE, 2012)

Constructing Rule-Based Models Using the Belief Functions Framework. - Rui Jorge Almeida; Thierry Denoeux; Uzay Kaymak (IPMU (3), 2012)

Conditional Density Estimation Using Fuzzy GARCH Models. - Rui Jorge Almeida; Nalan Bastürk; Uzay Kaymak; João Miguel da Costa Sousa (SMPS, 2012)

Linguistic summaries of categorical time series for septic shock patient data. - Rui Jorge Almeida; Marie-Jeanne Lesot; Bernadette Bouchon-Meunier; Uzay Kaymak; Gilles Moyse (FUZZ-IEEE, 2013)

Conditional Density Estimation Using Probabilistic Fuzzy Systems. - Jan van den Berg; Uzay Kaymak; Rui Jorge Almeida (IEEE Trans. Fuzzy Syst., 2013)

Probabilistic fuzzy systems for seasonality analysis and multiple horizon forecasts. - Rui Jorge Almeida; Nalan Bastürk; Uzay Kaymak (CIFEr, 2014)

Probabilistic Fuzzy Systems as Additive Fuzzy Systems. - Rui Jorge Almeida; Nick Verbeek; Uzay Kaymak; João Miguel da Costa Sousa (IPMU (1), 2014)

Estimation of flexible fuzzy GARCH models for conditional density estimation. - Rui Jorge Almeida; Nalan Bastürk; Uzay Kaymak; João M. C. Sousa (Inf. Sci., 2014)

Point and density forecasts of US inflation using probabilistic fuzzy systems. - Rui Jorge Almeida; Nalan Bastürk (FUZZ-IEEE, 2015)

PCBA demand forecasting using an evolving Takagi-Sugeno system. - Max van Rooijen; Rui Jorge Almeida; Uzay Kaymak (TAAI, 2015)

Analysis of probabilistic fuzzy systems' parameters in conditional density estimation. - Rui Jorge Almeida; Nalan Bastürk; Uzay Kaymak; João M. C. Sousa (FUZZ-IEEE, 2016)

Optimizing probabilistic fuzzy systems for classification using metaheuristics. - Hugo Manuel Proença; Susana M. Vieira; Uzay Kaymak; Rui Jorge Almeida; João M. C. Sousa (FUZZ-IEEE, 2016)

Time Varying Correlation Estimation Using Probabilistic Fuzzy Systems. - Nalan Bastürk; Rui Jorge Almeida (IPMU (2), 2016)

Estimation and Characterization of Activity Duration in Business Processes. - Rodrigo M. T. Gonçalves; Rui Jorge Almeida; João M. C. Sousa; Remco M. Dijkman (IPMU (2), 2016)

Multivariate time-varying volatility modeling using Probabilistic Fuzzy Systems. - Nalan Bastürk; Rui Jorge Almeida; Robert Golan; Uzay Kaymak (SSCI, 2016)

Mortality prediction of septic shock patients using probabilistic fuzzy systems. - André S. Fialho; Susana M. Vieira; Uzay Kaymak; Rui Jorge Almeida; Federico Cismondi; Shane R. Reti; Stan N. Finkelstein; João M. C. Sousa (Appl. Soft Comput., 2016)

Modeling patients' methylmalonic acid levels using probabilistic fuzzy systems. - Rui Jorge Almeida; Saskia van Loon; Uzay Kaymak; Anna Wilbik; Volkher Scharnhorst; Arjen-Kars Boer (FUZZ-IEEE, 2017)

Intraday value-at-risk estimation for directional change events and investment strategies. - Rui Jorge Almeida; Nalan Bastürk; Robert Golan (SSCI, 2017)

Forecasting Directional Change Uncertainty Using Probabilistic Fuzzy Systems. - Rui Jorge Almeida; Nalan Bastürk (FUZZ-IEEE, 2018)

Graphical Causal Models and Imputing Missing Data: A Preliminary Study. - Rui Jorge Almeida; Greetje Adriaans; Yuliya Shapovalova (IPMU (1), 2020)

Analysis of biomarkers and composite scores in IBD patients using probabilistic fuzzy systems. - G. M. C. Adriaans; Rui Jorge Almeida; D. Jonkers; T. van den Heuvel; A. G. L. Bodelier; M. J. Pierik (FUZZ-IEEE, 2022)

Analysis of Graphical Causal Models with Discretized Data. - Ofir Hanoch; Nalan Bastürk; Rui Jorge Almeida; Tesfa Dejenie Habtewold (IPMU (2), 2022)

Portfolio Re-Balancing and Optimization Using Directional Changes and Genetic Algorithms. - Rui Jorge Almeida; Nalan Bastürk; Paulo Rodrigues (CEC, 2023)

Order Picking: Exploring the Properties of the Greedy Seed-Based Batching Algorithm. - Son Tran Thai; Rui Jorge Almeida; Christof Defryn (CEC, 2023)

Portfolio Return Maximization using Robust Optimization and Directional Changes. - Rui Jorge Almeida; Nalan Bastürk; Paulo Rodrigues (SSCI, 2023)

Synchronous Parallel Heuristics for Solving the Joint Order Batching and Picker Routing Problem. - Son Tran Thai; Rui Jorge Almeida; Christof Defryn; Inneke Van Nieuwenhuyse (CEC, 2024)

Ranking Case Law by Context Dimensions Using Fuzzy Fingerprints. - Sarah Epting; Rui Jorge Almeida; João Paulo Carvalho 001 (FUZZ, 2024)

Applications of Autonomous Learning Multi Model System to Multiclass Imbalanced Datasets. - André Seabra; Rodrigo M. M. Ventura; Rui Jorge Almeida; Susana M. Vieira; João M. C. Sousa (FUZZ, 2024)

A Supervised Machine Learning Approach for the Vehicle Routing Problem. - Sebastian Ammon; Frank Phillipson; Rui Jorge Almeida (ICORES, 2024)

Quantifying Uncertainty of Portfolios using Bayesian Neural Networks. - Süleyman Esener; Enrico Wegner; Rui Jorge Almeida; Nalan Bastürk; Paulo Rodrigues (IJCNN, 2024)

Graphical Causal Models with Discretized Data and Background Information. - Nalan Bastürk; Chumasha Rajapakshe; Rui Jorge Almeida (IPMU (1), 2024)

Exploring Word Embedding in Modeling Risk Perception. - Claudio Proietti Mercuri; Jonas Benjamin Krieger; Rui Jorge Almeida (IPMU (1), 2024)