Flora J. Ferreira

According to our database, Flora J. Ferreira authored at least 26 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Impact of Variable Transformations on Multiple Regression Models for Enhancing Gait Normalization.

Flora J. Ferreira, Jhonathan Barrios, Paulo Barbosa, Miguel F. Gago, Estela Bicho, Wolfram Erlhagen

Proceedings of the 2023 6th International Conference on Mathematics and Statistics, 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

A Meta-analysis Approach for Estimating Salary Mean and Its Confidence Interval.

Flora J. Ferreira, José Soares, Fernanda Sousa, Filipe Magalhães, Isabel Ribeiro, Dânia Pinto, Pedro Pacheco

Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

A Data Recording Mobile Application to Create Datasets of Vehicle Users' Routines.

Pedro M. F. Guimarães, Flora J. Ferreira, Ana Carolina Silva, Wolfram Erlhagen, Sérgio Monteiro, Estela Bicho

Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 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

On the packing process in a shoe manufacturer.

Manuel V. C. Vieira, Flora J. Ferreira, José C. M. Duque, Rui M. P. Almeida

J. Oper. Res. Soc., 2021

Prediction of attitudes towards human-centred cognitive vehicles aware of their users' routines and preferences.

Ankit R. Patel, Flora J. Ferreira, Sergio Monteiro, Ana Carolina Silva, Wolfram Erlhagen, Estela Bicho

Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021

Synthetic dataset to study breaks in the consumer's water consumption patterns.

Marta C. Santos, Ana I. Borges, Davide Rua Carneiro, Flora J. Ferreira

Proceedings of the ICoMS 2021: 4th International Conference on Mathematics and Statistics, Paris, France, June 24, 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

2020

A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines.

Carlos Fernandes, Flora J. Ferreira, Wolfram Erlhagen, Sérgio Monteiro, Estela Bicho

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Gait Characteristics and Their Discriminative Ability in Patients with Fabry Disease with and Without White-Matter Lesions.

José Braga, Flora J. Ferreira, Carlos Fernandes, Miguel F. Gago, Olga Azevedo, Nuno J. Sousa, Wolfram Erlhagen, Estela Bicho

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Global Implications of Human Tendencies Towards Automated Driving and Human Driver Availability in Autonomous Vehicles.

Ankit R. Patel, Flora J. Ferreira, Sergio Monteiro, Estela Bicho

Proceedings of the HCI International 2020 - Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments, 2020

2019

Towards Endowing Collaborative Robots with Fast Learning for Minimizing Tutors' Demonstrations: What and When to Do?

Ana Cunha, Flora J. Ferreira, Wolfram Erlhagen, Emanuel Sousa, Luís Louro, Paulo Vicente, Sérgio Monteiro, Estela Bicho

Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 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

Gait classification of patients with Fabry's disease based on normalized gait features obtained using multiple regression models.

Carlos Fernandes, Flora J. Ferreira, Miguel F. Gago, Olga Azevedo, Nuno J. Sousa, Wolfram Erlhagen, Estela Bicho

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Artificial Neural Networks Classification of Patients with Parkinsonism based on Gait.

Carlos Fernandes, Luis Fonseca, Flora J. Ferreira, Miguel F. Gago, Luís Costa, Nuno J. Sousa, Carlos Abreu Ferreira, João Gama, Wolfram Erlhagen, Estela Bicho

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

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

2015

Off-line simulation inspires insight: A neurodynamics approach to efficient robot task learning.

Emanuel Sousa, Wolfram Erlhagen, Flora J. Ferreira, Estela Bicho

Neural Networks, 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

2014

Learning a musical sequence by observation: A robotics implementation of a dynamic neural field model.

Flora J. Ferreira, Wolfram Erlhagen, Emanuel Sousa, Luis Louro, Estela Bicho

Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

2012

The power of prediction: Robots that read intentions.

Estela Bicho, Wolfram Erlhagen, Emanuel Sousa, Luis Louro, N. Hipolito, Eliana Costa e Silva, Rui Silva, Flora J. Ferreira, Toni Machado, M. Hulstijn, Y. Maas, Ellen R. A. de Bruijn, Raymond H. Cuijpers, Roger D. Newman-Norlund, Hein T. van Schie, Ruud G. J. Meulenbroek, Harold Bekkering

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011

A Dynamic Field Model of Ordinal and Timing Properties of Sequential Events.

Flora J. Ferreira, Wolfram Erlhagen, Estela Bicho

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011