Hugo Gamboa
Hugo Gamboa
Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa
Verified email at - Homepage
Cited by
Cited by
A behavioral biometric system based on human computer interaction
H Gamboa, A Fred
Proceedings of SPIE 5404, 381-392, 2004
Designing intelligent tutoring systems: a bayesian approach
H Gamboa, A Fred
Enterprise Information Systems III. Edited by J. Filipe, B. Sharp, and P …, 2002
Human activity data discovery from triaxial accelerometer sensor: Non-supervised learning sensitivity to feature extraction parametrization
IP Machado, AL Gomes, H Gamboa, V Paixão, RM Costa
Information Processing & Management 51 (2), 204-214, 2015
An identity authentication system based on human computer interaction behaviour
H Gamboa, A Fred
Proc. of the 3rd Intl. Workshop on Pattern Recognition in Information …, 2003
Novel fiducial and non-fiducial approaches to electrocardiogram-based biometric systems
DP Coutinho, H Silva, H Gamboa, A Fred, M Figueiredo
IET Biometrics 2 (2), 64-75, 2013
One lead ECG based personal identification with feature subspace ensembles
H Silva, H Gamboa, A Fred
Machine Learning and Data Mining in Pattern Recognition, 770-783, 2007
Multimodal biosignal sensor data handling for emotion recognition
F Canento, A Fred, H Silva, H Gamboa, A Lourenço
Sensors, 2011 IEEE, 647-650, 2011
Webbiometrics: User verification via web interaction
H Gamboa, ALN Fred, AK Jain
Biometrics Symposium, 2007, 1-6, 2007
Noise detection on ECG based on agglomerative clustering of morphological features
J Rodrigues, D Belo, H Gamboa
Computers in biology and medicine 87, 322-334, 2017
Time Alignment Measurement for Time Series
D Folgado, M Barandas, R Matias, R Martins, M Carvalho, H Gamboa
Pattern Recognition 81, 268-279, 2018
Tunable gas sensing gels by cooperative assembly
A Hussain, ATS Semeano, SICJ Palma, AS Pina, J Almeida, BF Medrado, ...
Advanced functional materials 27 (27), 1700803, 2017
Multi-modal Behavioral Biometrics Based on HCI and Electrophysiology
H Gamboa
Ph. D. thesis, Instituto Superior Técnico, 2008
Applicability of lead v2 ECG measurements in biometrics
H Silva, H Gamboa, A Fred
Proceedings of the Mede-Tel, 177-180, 2007
A motion tracking solution for indoor localization using smartphones
V Guimarães, L Castro, S Carneiro, M Monteiro, T Rocha, M Barandas, ...
Indoor Positioning and Indoor Navigation (IPIN), 2016 International …, 2016
Machine learning for the meta-analyses of microbial pathogens’ volatile signatures
SICJ Palma, AP Traguedo, AR Porteira, MJ Frias, H Gamboa, ACA Roque
Scientific reports 8 (1), 3360, 2018
On Applying Approximate Entropy to ECG Signals for Knowledge Discovery on the Example of Big Sensor Data
A Holzinger, C Stocker, M Bruschi, A Auinger, H Silva, H Gamboa, A Fred
Active Media Technology 7696, 646-657, 2012
Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics
VS Kublanov, AY Dolganov, D Belo, H Gamboa
Applied bionics and biomechanics 2017, 2017
Morphological analysis of acceleration signals in cross-country skiing
H Myklebust, N Nunes, J Hallén, H Gamboa
Proceedings of Biosignals-International Conference on Bio-Inspired Systems …, 2011
Biosignals learning and synthesis using deep neural networks
D Belo, J Rodrigues, JR Vaz, P Pezarat-Correia, H Gamboa
BioMedical Engineering OnLine 16 (1), 115, 2017
A Framework for Infrastructure-Free Indoor Localization Based on Pervasive Sound Analysis
R Leonardo, M Barandas, H Gamboa
IEEE Sensors Journal 18 (10), 4136-4144, 2018
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