| 2022 | IDEAL | Endowing Intelligent Vehicles with the Ability to Learn User's Habits and Preferences with Machine Learning Methods. | Paulo Barbosa, Flora J. Ferreira, Carlos Fernandes, Wolfram Erlhagen, Pedro M. F. Guimares, Weronika Wojtak, Srgio Monteiro, Estela Bicho |
| 2021 | ICANN | Dynamic Identification of Stop Locations from GPS Trajectories Based on Their Temporal and Spatial Characteristics. | Flora J. Ferreira, Weronika Wojtak, Carlos Fernandes, Pedro M. F. Guimares, Srgio Monteiro, Estela Bicho, Wolfram Erlhagen |
| 2021 | ICCSA | Towards Endowing Intelligent Cars with the Ability to Learn the Routines of Multiple Drivers: A Dynamic Neural Field Model. | Weronika Wojtak, Flora J. Ferreira, Pedro M. F. Guimares, Paulo Barbosa, Srgio Monteiro, Wolfram Erlhagen, Estela Bicho |
| 2019 | ICANN | Neural Field Model for Measuring and Reproducing Time Intervals. | Weronika Wojtak, Flora J. Ferreira, Estela Bicho, Wolfram Erlhagen |
| 2016 | ICANN | Combining Spatial and Parametric Working Memory in a Dynamic Neural Field Model. | Weronika Wojtak, Stephen Coombes, Estela Bicho, Wolfram Erlhagen |
| 2015 | IJCNN | Learning joint representations for order and timing of perceptual-motor sequences: A dynamic neural field approach. | Weronika Wojtak, Flora J. Ferreira, Wolfram Erlhagen, Estela Bicho |