Fuzzy model-based predictive control using Takagi-Sugeno models. - Johannes A. Roubos; Stanimir Mollov; Robert Babuska; Henk B. Verbruggen (Int. J. Approx. Reason., 1999)

Accurate, Transparent, and Compact Fuzzy Models for Function Approximation and Dynamic Modeling through Multi-objective Evolutionary Optimization. - Fernando Jiménez; Antonio Fernandez Gómez-Skarmeta; Johannes A. Roubos; Robert Babuska (EMO, 2001)

Compact TS - Fuzzy Models Through Clustering and OLS Plus FIS Model Reduction. - János Abonyi; Johannes A. Roubos; Marcel Oosterom; Ferenc Szeifert (FUZZ-IEEE, 2001)

Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization. - János Abonyi; Johannes A. Roubos; Ferenc Szeifert (Int. J. Approx. Reason., 2003)

Learning fuzzy classification rules from labeled data. - Johannes A. Roubos; Magne Setnes; János Abonyi (Inf. Sci., 2003)

Comments on the benchmarks in "A proposal for improving the accuracy of Linguistic Modeling" and related articles. - Johannes A. Roubos; Robert Babuska (IEEE Trans. Fuzzy Syst., 2003)

Errata on "Ga-fuzzy modeling and classification: complexity and performance" and "compact and transparent fuzzy models and classifiers through iterative complexity reduction". - Johannes A. Roubos; Magne Setnes (IEEE Trans. Fuzzy Syst., 2003)

A Combination-of-Tools Method for Learning Interpretable Fuzzy Rule-Based Classifiers from Support Vector Machines. - Tamás Kenesei; Johannes A. Roubos; János Abonyi (IDEAL, 2007)

Sequence-Based Prediction of Protein Secretion Success in Aspergillus niger. - Bastiaan A. van den Berg; Jurgen F. Nijkamp; Marcel J. T. Reinders; Liang Wu; Herman J. Pel; Johannes A. Roubos; Dick de Ridder (PRIB, 2010)

SPiCE: a web-based tool for sequence-based protein classification and exploration. - Bastiaan A. van den Berg; Marcel J. T. Reinders; Johannes A. Roubos; Dick de Ridder (BMC Bioinform., 2014)