Dário Passos

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Rui GuerraProfessor de Física, Departamento de Física e CEOT, Faculdade de Ciências e Tecnologia, Universidade do AlgarveVerified email at ualg.pt
Soumitra HazraUniversity of Massachusetts LowellVerified email at uml.edu
Dibyendu Nandy (/Nandi)Center of Excellence in Space Sciences India and Department of Physical Sciences, Indian InstituteVerified email at iiserkol.ac.in
Mark MieschHigh Altitude Observatory, National Center for Atmospheric ResearchVerified email at ucar.edu
Ana Margarida CavacoCEOT, UAlgVerified email at ualg.pt
Maria Dulce AntunesUniversidade do AlgarveVerified email at ualg.pt
Mike LockwoodProfessor of Space Environment Physics, Reading University and Rutherford Appleton LaboratoryVerified email at reading.ac.uk
Ilya UsoskinUniversity of Oulu, FinlandVerified email at oulu.fi
Luke BarnardPostdoctoral researcher, Department of Meteorology, University of ReadingVerified email at reading.ac.uk
Mathew OwensUniversity of ReadingVerified email at reading.ac.uk
Sandra Cruz- PhD in Biology; Manage...CEOT - UAlgVerified email at ualg.pt
Noelia CorreiaUniversidade do AlgarveVerified email at ualg.pt
Jeroen JansenAssociate ProfessorVerified email at science.ru.nl
Jean-Michel ROGERchimiométrie itap inrae irstea cemagrefVerified email at inrae.fr
Aoife GowenUniversity College DublinVerified email at ucd.ie
Douglas RutledgeProfesseur de Chimie Analytique, AgroParisTechVerified email at agroparistech.fr
Junli XuUniversity College Dublin, IrelandVerified email at ucd.ie
Jose Manuel AmigoIkerbasque Foundation; University of the Basque CountryVerified email at ehu.eus
Federico MariniUniversity of Rome "La SapienzaVerified email at uniroma1.it
Melinda NagyEötvös Loránd UniversityVerified email at caesar.elte.hu

Dário Passos

Other namesPassos, D.

CEOT, University of the Algarve in Portugal

Verified email at ualg.pt - Homepage

Data Analysis VIS-NIR Spectroscopy Chemometrics Deep Learning Solar Physics


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A solar dynamo model driven by mean-field alpha and Babcock-Leighton sources: fluctuations, grand-minima-maxima, and hemispheric asymmetry in sunspot cycles D Passos, D Nandy, S Hazra, I Lopes Astronomy & Astrophysics 563, A18, 2014	99	2014
Tissue phantom for optical diagnostics based<? xpp qa?> on a suspension of microspheres with a fractal<? xpp qa?> size distribution D Passos, JC Hebden, PN Pinto, R Guerra Journal of biomedical optics 10 (6), 064036-064036-11, 2005	83	2005
A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit P Mishra, D Passos Chemometrics and Intelligent Laboratory Systems 212, 104287, 2021	82	2021
Hemispheric coupling: comparing dynamo simulations and observations AA Norton, P Charbonneau, D Passos The Solar Activity Cycle: Physical Causes and Consequences, 251-283, 2015	82	2015
A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks D Passos, P Mishra Chemometrics and Intelligent Laboratory Systems 223, 104520, 2022	80	2022
Characteristics of magnetic solar-like cycles in a 3D MHD simulation of solar convection D Passos, P Charbonneau Astronomy & Astrophysics 568, A113, 2014	59	2014
A stochastically forced time delay solar dynamo model: self-consistent recovery from a Maunder-like grand minimum necessitates a mean-field alpha effect S Hazra, D Passos, D Nandy The Astrophysical Journal 789 (1), 5, 2014	58	2014
Realizing transfer learning for updating deep learning models of spectral data to be used in new scenarios P Mishra, D Passos Chemometrics and Intelligent Laboratory Systems 212, 104283, 2021	53	2021
Deep learning for near-infrared spectral data modelling: Hypes and benefits P Mishra, D Passos, F Marini, J Xu, JM Amigo, AA Gowen, JJ Jansen, ... TrAC Trends in Analytical Chemistry 157, 116804, 2022	43	2022
A low-order solar dynamo model: inferred meridional circulation variations since 1750 D Passos, I Lopes The Astrophysical Journal 686 (2), 1420, 2008	39	2008
An exploration of non-kinematic effects in flux transport dynamos D Passos, P Charbonneau, P Beaudoin Solar Physics 279, 1-22, 2012	37	2012
Near‐Earth heliospheric magnetic field intensity since 1750: 1. Sunspot and geomagnetic reconstructions MJ Owens, E Cliver, KG McCracken, J Beer, L Barnard, M Lockwood, ... Journal of Geophysical Research: Space Physics 121 (7), 6048-6063, 2016	36	2016
Multi-output 1-dimensional convolutional neural networks for simultaneous prediction of different traits of fruit based on near-infrared spectroscopy P Mishra, D Passos Postharvest Biology and Technology 183, 111741, 2022	34	2022
Deep calibration transfer: transferring deep learning models between infrared spectroscopy instruments P Mishra, D Passos Infrared Physics & Technology 117, 103863, 2021	34	2021
Solar variability induced in a dynamo code by realistic meridional circulation variations I Lopes, D Passos Solar Physics 257, 1-12, 2009	32	2009
Deep multiblock predictive modelling using parallel input convolutional neural networks P Mishra, D Passos Analytica chimica acta 1163, 338520, 2021	31	2021
Grand minima under the light of a low order dynamo model D Passos, I Lopes Journal of Atmospheric and Solar-Terrestrial Physics 73 (2-3), 191-197, 2011	29	2011
Oscillator Models of the Solar Cycle: Towards the Development of Inversion Methods I Lopes, D Passos, M Nagy, K Petrovay The Solar Activity Cycle: Physical Causes and Consequences, 535-559, 2015	28	2015
Meridional circulation dynamics from 3d magnetohydrodynamic global simulations of solar convection D Passos, P Charbonneau, M Miesch The Astrophysical Journal Letters 800 (1), L18, 2015	27	2015
An automated deep learning pipeline based on advanced optimisations for leveraging spectral classification modelling D Passos, P Mishra Chemometrics and Intelligent Laboratory Systems 215, 104354, 2021	25	2021

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