Analyzing the impact of the adaptive clearing mechanism on algorithm accuracy in Variable Mesh Optimization. - Frank Vanhoenshoven; Gonzalo Nápoles; Mathijs Creemers; Maikel León Espinosa; Koen Vanhoof (SSCI, 2016)

Detecting malicious URLs using machine learning techniques. - Frank Vanhoenshoven; Gonzalo Nápoles; Rafael Falcon; Koen Vanhoof; Mario Köppen (SSCI, 2016)

Fuzzy Cognitive Maps Employing ARIMA Components for Time Series Forecasting. - Frank Vanhoenshoven; Gonzalo Nápoles; Samantha Bielen; Koen Vanhoof (KES-IDT (1), 2017)

Fuzzy Cognitive Modeling: Theoretical and Practical Considerations. - Gonzalo Nápoles; Jose L. Salmeron; Wojciech Froelich; Rafael Falcon; Maikel León Espinosa; Frank Vanhoenshoven; Rafael Bello 001; Koen Vanhoof (KES-IDT (1), 2019)

Short-term cognitive networks, flexible reasoning and nonsynaptic learning. - Gonzalo Nápoles; Frank Vanhoenshoven; Koen Vanhoof (Neural Networks, 2019)

Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting. - Frank Vanhoenshoven; Gonzalo Nápoles; Wojciech Froelich; Jose L. Salmeron; Koen Vanhoof (Appl. Soft Comput., 2020)

Nonsynaptic Error Backpropagation in Long-Term Cognitive Networks. - Gonzalo Nápoles; Frank Vanhoenshoven; Rafael Falcon; Koen Vanhoof (IEEE Trans. Neural Networks Learn. Syst., 2020)

Natural language techniques supporting decision modelers. - Leticia Arco; Gonzalo Nápoles; Frank Vanhoenshoven; Ana Laura Lara; Gladys Casas; Koen Vanhoof (Data Min. Knowl. Discov., 2021)

bupaRflow: A Workflow Interface for bupaR. - Brecht Steukers; Gert Janssenswillen; Gerhardus A. W. M. van Hulzen; Frank Vanhoenshoven; Benoît Depaire (BPM (PhD/Demos), 2022)