| Detecting malicious URLs using machine learning techniques F Vanhoenshoven, G Nápoles, R Falcon, K Vanhoof, M Köppen 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 127 | 2016 |
| Pseudoinverse learning of fuzzy cognitive maps for multivariate time series forecasting F Vanhoenshoven, G Nápoles, W Froelich, JL Salmeron, K Vanhoof Applied Soft Computing 95, 106461, 2020 | 31 | 2020 |
| Short-term cognitive networks, flexible reasoning and nonsynaptic learning G Nápoles, F Vanhoenshoven, K Vanhoof Neural Networks 115, 72-81, 2019 | 28 | 2019 |
| Nonsynaptic error backpropagation in long-term cognitive networks G Nápoles, F Vanhoenshoven, R Falcon, K Vanhoof IEEE transactions on neural networks and learning systems 31 (3), 865-875, 2019 | 27 | 2019 |
| Fuzzy cognitive modeling: Theoretical and practical considerations G Nápoles, JL Salmeron, W Froelich, R Falcon, M Leon Espinosa, ... Intelligent Decision Technologies 2019: Proceedings of the 11th KES …, 2020 | 19 | 2020 |
| Fuzzy cognitive maps employing ARIMA components for time series forecasting F Vanhoenshoven, G Nápoles, S Bielen, K Vanhoof Intelligent Decision Technologies 2017: Proceedings of the 9th KES …, 2018 | 14 | 2018 |
| Natural language techniques supporting decision modelers L Arco, G Nápoles, F Vanhoenshoven, AL Lara, G Casas, K Vanhoof Data Mining and Knowledge Discovery 35, 290-320, 2021 | 12 | 2021 |
| bupaRflow: A Workflow Interface for bupaR B Steukers, G Janssenswillen, G VAN HULZEN, F Vanhoenshoven, ... CEUR Workshop Proceedings, 2022 | 2 | 2022 |
| Nonsynaptic Error Backpropagation in Long-Term Cognitive Networks G NAPOLES RUIZ, F VANHOENSHOVEN, R Falcon, K VANHOOF IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020 | | 2020 |
| Short-term Cognitive Networks, Flexible Reasoning and Nonsynaptic Learning G NAPOLES RUIZ, F VANHOENSHOVEN, K VANHOOF | | 2019 |
| Bringing transparency to time series forecasting using Fuzzy Cognitive Maps F VANHOENSHOVEN | | 2019 |
| Bringing Transparency to Time Series Forecasting Using Fuzzy Cognitive Maps: Doctoral Dissertation F Vanhoenshoven | | 2019 |
| Transport met PIT: Vereenvoudig digitalisatie door procesgericht denken P Boutsen, Y MOLENBRUCH, D Ria, F VANHOENSHOVEN Jacobus & Corneel, 2019 | | 2019 |
| Analyzing the impact of the adaptive clearing mechanism on algorithm accuracy in Variable Mesh Optimization F Vanhoenshoven, G Nápoles, M Creemers, ML Espinosa, K Vanhoof 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | | 2016 |
| DESCRIPTION AND ROBUSTNESS OF AN AGGREGATION METHOD FOR A EUROPEAN ROAD SAFETY DATA SET F Vanhoenshoven, E Hermans, K Vanhoof Intelligent Decision Making Systems, 197-202, 2010 | | 2010 |
| Hasselt University, Transportation Research Institute, Wetenschapspark 5 bus 6 3590 Diepenbeek, Belgium (elke. hermans (a) uhasselt. be) F VANHOENSHOVEN Intelligent Decision Making Systems: Proceedings of the 4th International …, 2009 | | 2009 |
| THE BENEFITS OF EVALUATING THE JORDANIAN SOCIAL SECURITY USING DECISION MODELING AND NOTATION AZ Alghzawi, F Vanhoenshoven, G Sammour, K Vanhoof | | |
| International Journal “Information Theories and Applications”, Vol. 25, Number 4,© 2018 400 AZ Alghzawi, F Vanhoenshoven, G Sammour, K Vanhoof, H Sahakyan, ... | | |
