publicações selecionadas
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artigo académico
- Quantitative gait analysis value as a predictor of shunt surgery effectiveness in normal pressure hydrocephalus: A technical note. Clinical Neurology and Neurosurgery. 2022
- Packing Shoes Efficiently. Impact. 2020
- On the packing process in a shoe manufacturer. Journal of the Operational Research SocIETy. 2020
- Patterns of synchrony for feed-forward and auto-regulation feed-forward neural networks. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2017
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artigo de conferência
- Neurological Disease Classification based on Gait Analysis through Transformation -Based Multiple Linear Regression Normalization 2023
- Impact of Variable Transformations on Multiple Regression Models for Enhancing Gait Normalization 2023
- Individualized monitoring and forecasting of water consumption: a preliminary study 2022
- A Data Recording Mobile Application to Create Datasets of Vehicle Users’ Routines 2022
- Synthetic Dataset to Study Breaks in the Consumer's Water Consumption Patterns 2021
- Prediction of attitudes towards human-centred cognitive vehicles aware of their users' routines and preferences 2021
- Objective graphical clustering of spatiotemporal gait pattern in patients with Parkinsonism. AIP Conference Proceedings. 2020
- Towards collaborative robots as intelligent co-workers in human-robot joint tasks: What to do and who does it? 2020
- A dynamic neural model for endowing intelligent cars with the ability to learn driver routines: where to go, when to arrive and how long to stay there? 2019
- Flow4Link - The flow in the hand 2019
- Artificial Neural Networks Classification of Patients with Parkinsonism based on Gait. IEEE International Conference on Bioinformatics and Biomedicine - BIBM. 2019
- Gait classification of patients with Fabry's disease based on normalized gait features obtained using multiple regression models. IEEE International Conference on Bioinformatics and Biomedicine - BIBM. 2019
- Numerical Analysis of the Shape of Bump Solutions in a Neuronal Model of Working Memory. AIP Conference Proceedings. 2019
- Towards temporal cognition for robots: A neurodynamics approach. Joint IEEE International Conference on Development and Learning and Epigenetic Robotics ICDL-EpiRob. 2018
- Learning joint representations for order and timing of perceptual-motor sequences: A dynamic neural field approach. IEEE International Joint Conference on Neural Networks (IJCNN). 2015
- Learning a musical sequence by observation: A robotics implementation of a dynamic neural field model 2014
- The Power of Prediction: Robots that Read Intentions. IEEE International Conference on Intelligent Robots and Systems. 2012
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artigo de revista
- Adaptive timing in a dynamic field architecture for natural human-robot interactions. Cognitive Systems Research. 2023
- Rapid Learning of Complex Sequences With Time Constraints: A Dynamic Neural Field Model. IEEE Transactions on Cognitive and Developmental Systems. 2021
- Discrimination of idiopathic Parkinson's disease and vascular parkinsonism based on gait time series and the levodopa effect. Journal of Biomechanics. 2021
- A Multivariate Randomized Controlled Experiment about the Effects of Mindfulness Priming on EEG Neurofeedback Self-Regulation Serious Games. Applied Sciences. 2021
- A neural integrator model for planning and value-based decision making of a robotics assistant. Expert Systems with Applications. 2020
- Gait stride-to-stride variability and foot clearance pattern analysis in Idiopathic Parkinson's Disease and Vascular Parkinsonism. Journal of Biomechanics. 2019
- Position-based kinematics for 7-DoF serial manipulators with global configuration control, joint limit and singularity avoidance. Mechanism and Machine Theory. 2018
- Multi-bump solutions in a neural field model with external inputs. Physica D: Nonlinear Phenomena. 2016
- Off-line simulation inspires insight: A neurodynamics approach to efficient robot task learning. Neural Networks. 2015
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capítulo de livro
- Endowing Intelligent Vehicles with the Ability to Learn User's Habits and Preferences with Machine Learning Methods 2022
- A Meta-analysis Approach for Estimating Salary Mean and Its Confidence Interval 2022
- Time Series Analysis for Anomaly Detection of Water Consumption: A Case Study 2022
- Dynamic Identification of Stop Locations from GPS Trajectories Based on Their Temporal and Spatial Characteristics 2021
- Gait Characteristics and Their Discriminative Ability in Patients with Fabry Disease with and Without White-Matter Lesions. Computational Methods in Applied Sciences. 2020
- Neural Field Model for Measuring and Reproducing Time Intervals. Computational Methods in Applied Sciences. 2019
- A Dynamic Field Model of Ordinal and Timing Properties of Sequential Events. Computational Methods in Applied Sciences. 2011
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documento
- Exploring the topological properties of Gait time series as a complementary tool in levodopa dose decision in Parkinson's disease 2024
- Investigating Parkinsonism Gait Dynamics through Topological Data Analysis 2024
- Enhancing gait analysis through transformation-based multiple linear regression normalization 2023
- Big Data analysis of solar radiation patterns in the Colombian Caribbean region 2023
- Exploring the Influence of Various Factors on Salaries: A Regression Analysis Approach 2023
- Clustering analysis for household week-daily water consumption profiles characterization 2023
- Modeling of hourly water consumption of residential clients in the north of Portugal 2023
- Modelo matemático que dota os robôs com a capacidade de aprender sequências temporais 2022
- Predictive features of improvement after shunt surgery in normal pressure hydrocephalus: a gait analysis prospective study 2022
- Clustering domestic water consumption profiles: a Portuguese case study 2021
- The association between potential risk factors and cerebral white matter lesions in Fabry Disease patients 2021
- Normalization of gait features using Multiple Regression approach to classify Fabry's Disease 2020
- Detection analysis of breaks in water consumption patterns: a simulation study 2020
- Preliminary Screening of Probabilistic Models for Water Flow Measurement 2020
- The effect of levodopa medication on stride time variability in patients with parkinsonism 2020
- Feature Extraction using Poincaré Plots for Gait Classification 2019
- Identification of gait patterns among patients with parkinsonism based on normalized gait obtained using multiple regression models 2019
- Normalization of foot clearance and spatiotemporal gait data using multiple linear regression models 2019
- Performance analysis of different kernels on SVM classification using different feature selection methods on Parkinsonian gait 2019
- Comparative analysis of independent domains of gait derived from factor analysis in patients with Parkinson’s Disease 2018
- Foot clearance pattern: a distinctive gait variable in vascular Parkinson's disease 2018
- Poincaré plot in gait variability analysis 2018
- Análise cinemática da marcha como ferramenta complementar de decisão na doença de Parkinson Vascular 2017
- Gait analysis as a complementary tool in the levodopa dose decision in vascular Parkinson's disease 2017
- A competitive dynamic model for decision making in autonomous robots performing cooperative tasks 2009
- Synthetic Datasets of Water Consumptions
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livro
- Towards Endowing Intelligent Cars with the Ability to Learn the Routines of Multiple Drivers: A Dynamic Neural Field Model 2021
- A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines 2020
- Global Implications of Human Tendencies Towards Automated Driving and Human Driver Availability in Autonomous Vehicles 2020
- Towards Endowing Collaborative Robots with Fast Learning for Minimizing Tutors' Demonstrations: What and When to Do? 2020
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teses