Juan Pardo Albiach

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Francisco Zamora-MartinezVeridas SLVerified email at veridas.com
Paloma BotellaSubd.Gral de Epidemiología, Vig.Salud y San.Ambiental - Conselleria de Sanitat Universal i S.P.Verified email at gva.es
Lucrecia Morenouniversidad CEU Cardenal HerreraVerified email at uchceu.es
Francisco Javier Muñoz-AlmarazCEU-Cardenal Herrera UniversityVerified email at uchceu.es
Pablo RomeuInformation Sistems Teacher at Universidad CEU Cardenal HerreraVerified email at uch.ceu.es
Consuelo Chafer-PericasIISLaFeVerified email at uv.es
Jordi Perez-TurResearch Scientist, Institut de Biomedicina de València-CSICVerified email at ibv.csic.es
Benjamin H. Brinkmann Ph.D., FACNSMayo Clinic, Department of NeurologyVerified email at mayo.edu
Iryna KorshunovaGhent UniversityVerified email at ugent.be
Charles ViteUniversity of PennsylvaniaVerified email at vet.upenn.edu
Greg WorrellProfessor of Neurology and Physiology & Biomedical Engineering, Mayo ClinicVerified email at mayo.edu
Will CukierskiGoogleVerified email at google.com
Brian LittPerelman Professor of Neurology, Neurosurgery and BioengineeringUniversity of PennsylvaniaVerified email at upenn.edu
Joost WagenaarUniversity of Pennsylvania - Department of Biostatistics, Epidemiology and InformaticsVerified email at seas.upenn.edu
Min ChenThe University of QueenslandVerified email at cai.uq.edu.au
Torbjorn FalkmerFull Professor Disability SciencesVerified email at curtin.edu.au
EVA SEGURA-ORTÍProfesor de Fisioterapia, Universidad CEU Cardenal HerreraVerified email at UCHCEU.ES
Juan Jose Serrano MartinUniversitat Politecnica de ValenciaVerified email at itaca.upv.es
Juan-Carlos RuizUniversitat Politécnica de ValènciaVerified email at itaca.upv.es
willem b. verweyProfessor of Cognitive Psychology and Ergonomics, University of TwenteVerified email at utwente.nl

Juan Pardo Albiach

PhD on Computer Science. Data Scientist. University CEU Cardenal Herrera

Verified email at uchceu.es

machine learning predictive analytics data science artificial intelligence


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Crowdsourcing reproducible seizure forecasting in human and canine epilepsy BH Brinkmann, J Wagenaar, D Abbot, P Adkins, SC Bosshard, M Chen, ... Brain 139 (6), 1713-1722, 2016	290	2016
On-line learning of indoor temperature forecasting models towards energy efficiency F Zamora-Martinez, P Romeu, P Botella-Rocamora, J Pardo Energy and Buildings 83, 162-172, 2014	176	2014
Time-series forecasting of indoor temperature using pre-trained deep neural networks P Romeu, F Zamora-Martínez, P Botella-Rocamora, J Pardo Artificial Neural Networks and Machine Learning–ICANN 2013: 23rd …, 2013	94	2013
Towards energy efficiency: Forecasting indoor temperature via multivariate analysis F Zamora-Martínez, P Romeu, P Botella-Rocamora, J Pardo Energies 6 (9), 4639-4659, 2013	53	2013
CRIDECO anticholinergic load scale: an updated anticholinergic burden scale. Comparison with the ACB scale in Spanish individuals with subjective memory complaints H Ramos, L Moreno, J Pérez-Tur, C Cháfer-Pericás, G García-Lluch, ... Journal of personalized medicine 12 (2), 207, 2022	49	2022
Importance of increasing modifiable risk factors knowledge on alzheimer’s disease among community pharmacists and general practitioners in Spain M Alacreu, J Pardo, M Azorín, MT Climent, V Gasull, L Moreno Frontiers in pharmacology 10, 860, 2019	43	2019
Online Learning Algorithm for Time Series Forecasting Suitable for Low Cost Wireless Sensor Networks Nodes J Pardo, F Zamora-Martínez, P Botella-Rocamora Sensors 15 (4), 9277-9304, 2015	42	2015
Decision tree for early detection of cognitive impairment by community pharmacists MT Climent, J Pardo, FJ Muñoz-Almaraz, MD Guerrero, L Moreno Frontiers in Pharmacology 9, 1232, 2018	41	2018
Pharmacist-physician interprofessional collaboration to promote early detection of cognitive impairment: increasing diagnosis rate H Ramos, J Pardo, R Sánchez, E Puchades, J Pérez-Tur, A Navarro, ... Frontiers in Pharmacology 12, 579489, 2021	29	2021
Stacked denoising auto-encoders for short-term time series forecasting P Romeu, F Zamora-Martínez, P Botella-Rocamora, J Pardo Artificial Neural Networks: Methods and Applications in Bio …, 2015	29	2015
Ciberacoso: cyberbullying, grooming, redes sociales y otros peligros JP Albiach Ciberacoso: la tutela penal de la intimidad, la integridad y la libertad …, 2010	23	2010
Spontaneous intracranial hypotension: use of unenhanced MRI D Quinones Tapia, J Pardo, JM Serrano, V Anciones, L Lopez-Ibor Neuroradiology 42 (7), 529-531, 2000	23	2000
The Relationship between VO₂max, Power Management, and Increased Running Speed: Towards Gait Pattern Recognition through Clustering Analysis J Pardo Albiach, M Mir-Jimenez, V Hueso Moreno, I Nácher Moltó, ... Sensors 21 (7), 2422, 2021	19	2021
A random forest machine learning framework to reduce running injuries in young triathletes J Martínez-Gramage, JP Albiach, IN Moltó, JJ Amer-Cuenca, ... Sensors 20 (21), 6388, 2020	17	2020
The trainer project: A new simulator-based driver training curriculum JF Dols, J Pardo, T Falkmer, E Uneken, W Verwey Driving Assessment Conference 1 (2001), 2001	17	2001
Assessment of sodium-glucose cotransporter 2 inhibitors (SGLT2i) and other antidiabetic agents in Alzheimer’s disease: A population-based study MG Zamora, G García–Lluch, L Moreno, J Pardo, CC Pericas Pharmacological Research 206, 107295, 2024	16	2024
Una aproximación al Ciberbullying P MARTÍNEZ, O BLANCH Ciberacoso: la tutela penal de la intimidad, la integridad y la libertad …, 2010	15	2010
A machine learning approach to design an efficient selective screening of mild cognitive impairment FJ Muñoz-Almaraz, MT Climent, MD Guerrero, L Moreno, J Pardo MyJoVE Corporation, 2016	11	2016
On-chip debugging-based fault emulation for robustness evaluation of embedded software components JC Ruiz, J Pardo, JC Campelo, P Gil 11th Pacific Rim International Symposium on Dependable Computing (PRDC'05 …, 2005	11	2005
The TRAINER project: a new concept for novice drivers training simulators J Dols, J Pardo, T Falkmer, R Foerst Driving simulation conference (DSC2001), 191-200, 2001	10	2001

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