Flora J. Ferreira

Orcid: 0000-0003-1558-7230

According to our database1, Flora J. Ferreira authored at least 26 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Machine Learning Approach for Points of Interest Extraction and Event Classification.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023
Adaptive timing in a dynamic field architecture for natural human-robot interactions.
Cogn. Syst. Res., December, 2023

Impact of Variable Transformations on Multiple Regression Models for Enhancing Gait Normalization.
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.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

A Meta-analysis Approach for Estimating Salary Mean and Its Confidence Interval.
Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

A Data Recording Mobile Application to Create Datasets of Vehicle Users' Routines.
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.
IEEE Trans. Cogn. Dev. Syst., 2021

A neural integrator model for planning and value-based decision making of a robotics assistant.
Neural Comput. Appl., 2021

On the packing process in a shoe manufacturer.
J. Oper. Res. Soc., 2021

Prediction of attitudes towards human-centred cognitive vehicles aware of their users' routines and preferences.
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.
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.
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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines.
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.
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.
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?
Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019

Neural Field Model for Measuring and Reproducing Time Intervals.
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.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Artificial Neural Networks Classification of Patients with Parkinsonism based on Gait.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Towards temporal cognition for robots: A neurodynamics approach.
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.
Neural Networks, 2015

Learning joint representations for order and timing of perceptual-motor sequences: A dynamic neural field approach.
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.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

2012
The power of prediction: Robots that read intentions.
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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011


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