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Ruben Fernández Pozo
Ruben Fernández Pozo
GB2S-ETSIT-UPM
Verified email at upm.es
Title
Cited by
Cited by
Year
Usability evaluation of multi-modal biometric verification systems
DT Toledano, R Fernández Pozo, Á Hernández Trapote, ...
Interacting with Computers 18 (5), 1101-1122, 2006
962006
Speech signal and facial image processing for obstructive sleep apnea assessment
F Espinoza-Cuadros, R Fernández-Pozo, DT Toledano, ...
Computational and mathematical methods in medicine 2015, 2015
602015
Assessment of severe apnoea through voice analysis, automatic speech, and speaker recognition techniques
R Fernández Pozo, JL Blanco Murillo, L Hernández Gómez, ...
EURASIP Journal on Advances in Signal Processing 2009, 1-11, 2009
562009
Analysis of voice features related to obstructive sleep apnoea and their application in diagnosis support
AM Benavides, RF Pozo, DT Toledano, JLB Murillo, EL Gonzalo, ...
Computer Speech & Language 28 (2), 434-452, 2014
512014
Modelling the effect of driving events on electrical vehicle energy consumption using inertial sensors in smartphones
D Jiménez, S Hernández, J Fraile-Ardanuy, J Serrano, R Fernández, ...
Energies 11 (2), 412, 2018
432018
Data-driven analysis of the impact of COVID-19 on Madrid's public transport during each phase of the pandemic
RF Pozo, MR Wilby, JJV Díaz, ABR González
Cities 127, 103723, 2022
372022
Reviewing the connection between speech and obstructive sleep apnea
F Espinoza-Cuadros, R Fernández-Pozo, DT Toledano, ...
Biomedical engineering online 15, 1-20, 2016
332016
Driver identification and verification from smartphone accelerometers using deep neural networks
SH Sánchez, RF Pozo, LAH Gómez
IEEE Transactions on Intelligent Transportation Systems 23 (1), 97-109, 2020
292020
Formant frequencies and bandwidths in relation to clinical variables in an obstructive sleep apnea population
AM Benavides, JLB Murillo, RF Pozo, FE Cuadros, DT Toledano, ...
Journal of Voice 30 (1), 21-29, 2016
282016
Characterization of COVID-19’s impact on mobility and short-term prediction of public transport demand in a mid-size city in Spain
AB Rodríguez González, MR Wilby, JJ Vinagre Díaz, R Fernández Pozo
Sensors 21 (19), 6574, 2021
232021
Method for detecting driving events of a vehicle based on a smartphone
RF Pozo, LAH Gomez, DL Meco, JB Vercher, VMG Muñoz
US Patent App. 14/802,471, 2016
222016
Improving automatic detection of obstructive sleep apnea through nonlinear analysis of sustained speech
JL Blanco, LA Hernández, R Fernández, D Ramos
Cognitive Computation 5, 458-472, 2013
222013
Design of a multimodal database for research on automatic detection of severe apnoea cases
R Fernández, L Hernández, E López, J Alcázar, G Portillo, DT Toledano
Proceedings of the Sixth International Conference on Language Resources and …, 2008
202008
Estimating vehicle movement direction from smartphone accelerometers using deep neural networks
S Hernandez Sanchez, R Fernandez Pozo, LA Hernandez Gomez
Sensors 18 (8), 2624, 2018
192018
Design and validation of ECA gestures to improve dialogue system robustness
B López, Á Hernández, D Díaz, R Fernández, L Hernández, D Torre
Proceedings of the Workshop on Embodied Language Processing, 67-74, 2007
172007
Obstructive sleep apnea in women: study of speech and craniofacial characteristics
M Tyan, F Espinoza-Cuadros, RF Pozo, D Toledano, EL Gonzalo, ...
JMIR mHealth and uHealth 5 (11), e8238, 2017
152017
Using HMM to detect speakers with severe obstructive sleep apnoea syndrome
AM Benavides, JL Blanco, A Fernández, RF Pozo, DT Toledano, ...
Advances in Speech and Language Technologies for Iberian Languages …, 2012
152012
Prediction of on-street parking level of service based on random undersampling decision trees
RF Pozo, ABR González, MR Wilby, JJV Díaz, MV Matesanz
IEEE Transactions on Intelligent Transportation Systems 23 (7), 8327-8336, 2021
142021
Exploring differences between phonetic classes in Sleep Apnoea Syndrome Patients using automatic speech processing techniques
JL Blanco, R Fernández, E López, LA Hernández
Journal of the International Phonetic Association, 2008
14*2008
Deep neural networks for driver identification using accelerometer signals from smartphones
S Hernández Sánchez, R Fernández Pozo, LA Hernández Gómez
International Conference on Business Information Systems, 206-220, 2019
122019
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