Weronika Wojtak

According to our database, Weronika Wojtak authored at least 13 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A Machine Learning Approach for Points of Interest Extraction and Event Classification.

Pedro Dias, Flora J. Ferreira, Pedro M. F. Guimarães, Weronika Wojtak, Wolfram Erlhagen, Sérgio Monteiro, Emanuel Sousa, Estela Bicho

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023

Adaptive timing in a dynamic field architecture for natural human-robot interactions.

Weronika Wojtak, Flora J. Ferreira, Luís Louro, Estela Bicho, Wolfram Erlhagen

Cogn. Syst. Res., December, 2023

2022

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. Guimarães, Weronika Wojtak, Sérgio Monteiro, Estela Bicho

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

2021

Rapid Learning of Complex Sequences With Time Constraints: A Dynamic Neural Field Model.

Flora J. Ferreira, Weronika Wojtak, Emanuel Sousa, Luís Louro, Estela Bicho, Wolfram Erlhagen

IEEE Trans. Cogn. Dev. Syst., 2021

A neural integrator model for planning and value-based decision making of a robotics assistant.

Weronika Wojtak, Flora J. Ferreira, Paulo Vicente, Luís Louro, Estela Bicho, Wolfram Erlhagen

Neural Comput. Appl., 2021

A dynamic neural field model of continuous input integration.

Weronika Wojtak, Stephen Coombes, Daniele Avitabile, Estela Bicho, Wolfram Erlhagen

Biol. Cybern., 2021

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. Guimarães, Paulo Barbosa, Sérgio Monteiro, Wolfram Erlhagen, Estela Bicho

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

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. Guimarães, Sérgio Monteiro, Estela Bicho, Wolfram Erlhagen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2019

Neural Field Model for Measuring and Reproducing Time Intervals.

Weronika Wojtak, Flora J. Ferreira, Estela Bicho, Wolfram Erlhagen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2017

Towards temporal cognition for robots: A neurodynamics approach.

Weronika Wojtak, Flora J. Ferreira, Luis Louro, Estela Bicho, Wolfram Erlhagen

Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

2016

Combining Spatial and Parametric Working Memory in a Dynamic Neural Field Model.

Weronika Wojtak, Stephen Coombes, Estela Bicho, Wolfram Erlhagen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

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

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2012

Automatic Nuclei Detection on Cytological Images Using the Firefly Optimization Algorithm.

Pawel Filipczuk, Weronika Wojtak, Andrzej Obuchowicz

Proceedings of the Information Technologies in Biomedicine, 2012