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 | 105 | 2022 |
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 | 101 | 2014 |
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 | 93 | 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 | 85 | 2015 |
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 | 82 | 2005 |
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 | 64 | 2022 |
Characteristics of magnetic solar-like cycles in a 3D MHD simulation of solar convection D Passos, P Charbonneau Astronomy & Astrophysics 568, A113, 2014 | 61 | 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 | 60 | 2021 |
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 | 59 | 2014 |
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 | 45 | 2022 |
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 | 43 | 2016 |
Deep calibration transfer: transferring deep learning models between infrared spectroscopy instruments P Mishra, D Passos Infrared Physics & Technology 117, 103863, 2021 | 39 | 2021 |
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 |
Deep multiblock predictive modelling using parallel input convolutional neural networks P Mishra, D Passos Analytica chimica acta 1163, 338520, 2021 | 35 | 2021 |
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 | 32 | 2015 |
Solar variability induced in a dynamo code by realistic meridional circulation variations I Lopes, D Passos Solar Physics 257, 1-12, 2009 | 32 | 2009 |
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 | 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 | 30 | 2011 |
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 | 28 | 2021 |