Nuno Pombo
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Improving activity recognition accuracy in ambient-assisted living systems by automated feature engineering
E Zdravevski, P Lameski, V Trajkovik, A Kulakov, I Chorbev, R Goleva, ...
Ieee Access 5, 5262-5280, 2017
From data acquisition to data fusion: a comprehensive review and a roadmap for the identification of activities of daily living using mobile devices
IM Pires, NM Garcia, N Pombo, F Flórez-Revuelta
Sensors 16 (2), 184, 2016
Internet of things architectures, technologies, applications, challenges, and future directions for enhanced living environments and healthcare systems: a review
G Marques, R Pitarma, N M. Garcia, N Pombo
Electronics 8 (10), 1081, 2019
Software engineering education: Challenges and perspectives
S Ouhbi, N Pombo
2020 IEEE Global Engineering Education Conference (EDUCON), 202-209, 2020
Towards an accurate sleep apnea detection based on ECG signal: The quintessential of a wise feature selection
A Pinho, N Pombo, BMC Silva, K Bousson, N Garcia
Applied Soft Computing 83, 105568, 2019
Knowledge discovery in clinical decision support systems for pain management: a systematic review
N Pombo, P Araújo, J Viana
Artificial intelligence in medicine 60 (1), 1-11, 2014
A survey on IoT: architectures, elements, applications, QoS, platforms and security concepts
G Marques, N Garcia, N Pombo
Advances in Mobile cloud computing and big data in the 5G era, 115-130, 2017
Towards machine learning enabled security framework for IoT-based healthcare
S Pirbhulal, N Pombo, V Felizardo, N Garcia, AH Sodhro, ...
2019 13th international conference on sensing technology (ICST), 1-6, 2019
Classification techniques on computerized systems to predict and/or to detect Apnea: A systematic review
N Pombo, N Garcia, K Bousson
Computer methods and programs in biomedicine 140, 265-274, 2017
Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction–a systematic literature review
V Felizardo, NM Garcia, N Pombo, I Megdiche
Artificial Intelligence in Medicine 118, 102120, 2021
Identification of activities of daily living through data fusion on motion and magnetic sensors embedded on mobile devices
IM Pires, NM Garcia, N Pombo, F Flórez-Revuelta, S Spinsante, ...
Pervasive and Mobile Computing 47, 78-93, 2018
Automation in systematic, scoping and rapid reviews by an NLP toolkit: a case study in enhanced living environments
E Zdravevski, P Lameski, V Trajkovik, I Chorbev, R Goleva, N Pombo, ...
Enhanced living environments: algorithms, architectures, platforms, and …, 2019
Validation techniques for sensor data in mobile health applications
IM Pires, NM Garcia, N Pombo, F Flórez-Revuelta, ND Rodríguez
Journal of Sensors 2016 (1), 2839372, 2016
Clinical decision support systems for chronic diseases: A Systematic literature review
L Souza-Pereira, N Pombo, S Ouhbi, V Felizardo, N Garcia
Computer methods and programs in biomedicine 195, 105565, 2020
An efficient machine learning-based elderly fall detection algorithm
F Hussain, MB Umair, M Ehatisham-ul-Haq, IM Pires, T Valente, ...
arXiv preprint arXiv:1911.11976, 2019
Classifier precision analysis for sleep apnea detection using ECG signals
N Pombo, BMC Silva, AM Pinho, N Garcia
Ieee Access 8, 200477-200485, 2020
Recognition of activities of daily living based on environmental analyses using audio fingerprinting techniques: A systematic review
IM Pires, R Santos, N Pombo, NM Garcia, F Flórez-Revuelta, S Spinsante, ...
Sensors 18 (1), 160, 2018
Sleep apnea detection using a feed-forward neural network on ECG signal
AM da Silva Pinho, N Pombo, NM Garcia
2016 IEEE 18th International Conference on e-Health Networking, Applications …, 2016
Identification of activities of daily living using sensors available in off-the-shelf mobile devices: Research and hypothesis
IM Pires, NM Garcia, N Pombo, F Flórez-Revuelta
Ambient Intelligence-Software and Applications–7th International Symposium …, 2016
Limitations of the Use of Mobile Devices and Smart Environments for the Monitoring of Ageing People.
IM Pires, NM Garcia, N Pombo, F Flórez-Revuelta
ICT4AWE, 269-275, 2018
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