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Dário Passos
Dário Passos
其他姓名Passos, D.
CEOT, University of the Algarve in Portugal
在 ualg.pt 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
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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
1052022
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
1012014
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
932021
Hemispheric coupling: comparing dynamo simulations and observations
AA Norton, P Charbonneau, D Passos
The Solar Activity Cycle: Physical Causes and Consequences, 251-283, 2015
852015
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
822005
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
642022
Characteristics of magnetic solar-like cycles in a 3D MHD simulation of solar convection
D Passos, P Charbonneau
Astronomy & Astrophysics 568, A113, 2014
612014
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
602021
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
592014
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
452022
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
432016
Deep calibration transfer: transferring deep learning models between infrared spectroscopy instruments
P Mishra, D Passos
Infrared Physics & Technology 117, 103863, 2021
392021
A low-order solar dynamo model: inferred meridional circulation variations since 1750
D Passos, I Lopes
The Astrophysical Journal 686 (2), 1420, 2008
392008
An exploration of non-kinematic effects in flux transport dynamos
D Passos, P Charbonneau, P Beaudoin
Solar Physics 279, 1-22, 2012
372012
Deep multiblock predictive modelling using parallel input convolutional neural networks
P Mishra, D Passos
Analytica chimica acta 1163, 338520, 2021
352021
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
322015
Solar variability induced in a dynamo code by realistic meridional circulation variations
I Lopes, D Passos
Solar Physics 257, 1-12, 2009
322009
Nondestructive simultaneous prediction of internal browning disorder and quality attributes in ‘Rocha’pear (Pyrus communis L.) using VIS-NIR spectroscopy
S Cruz, R Guerra, A Brazio, AM Cavaco, D Antunes, D Passos
Postharvest Biology and Technology 179, 111562, 2021
312021
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
302011
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
282021
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