Bernard Benson

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W. David PanUniversity of Alabama in Huntsville (UAH)Verified email at uah.edu
Qiang HuProfessor of Space Science, University of Alabama in HuntsvilleVerified email at uah.edu
Atılım Güneş BaydinUniversity of OxfordVerified email at robots.ox.ac.uk
Giacomo AcciariniVisiting Researcher at European Space Agency, Advanced Concepts TeamVerified email at ext.esa.int
Stefano BonaseraGraduate student, University of Colorado, BoulderVerified email at colorado.edu
Eric SuttonUniversity of ColoradoVerified email at colorado.edu
Dr C. P. BridgesReader at Surrey Space Centre, University of SurreyVerified email at surrey.ac.uk
Moriba Jah, Ph.D.The University of Texas at AustinVerified email at utexas.edu
Meng JinLMSAL/SETI InstituteVerified email at lmsal.com
Avijeet PrasadRosseland Center for Solar Physics, University of OsloVerified email at astro.uio.no
Zhuocheng JiangNEC Laboratories America IncVerified email at nec-labs.com
Nikolai PogorelovProfessor of Space Science, University of Alabama in HuntsvilleVerified email at uah.edu

Bernard Benson

McLeod Software

Verified email at mcleodsoftware.com - Homepage

Machine Learning Deep Learning Applied Science Transportation & Logistics


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Forecasting solar cycle 25 using deep neural networks B Benson, WD Pan, A Prasad, GA Gary, Q Hu Solar Physics 295 (5), 65, 2020	49	2020
Dropout and Ensemble Networks for Thermospheric Density Uncertainty Estimation S Bonasera, G Acciarini, JA Pérez-Hernández, B Benson, E Brown, ... Bayesian Deep Learning Workshop (NeurIPS 2021), 2021	6	2021
On the estimation of the sharp parameter meanalp from aia images using deep neural networks B Benson, WD Pan, A Prasad, GA Gary, Q Hu Solar Physics 296 (11), 163, 2021	3	2021
Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles B Benson, E Brown, S Bonasera, G Acciarini, JA Pérez-Hernández, ... Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021), 2021	3	2021
Determining the parameter for the linear force-free magnetic field model with multi-dipolar configurations using deep neural networks B Benson, WD Pan, GA Gary, Q Hu, T Staudinger Astronomy and computing 26, 50-60, 2019	3	2019
Improving the Arrival Time Estimates of Coronal Mass Ejections by Using Magnetohydrodynamic Ensemble Modeling, Heliospheric Imager Data, and Machine Learning T Singh, B Benson, SAZ Raza, TK Kim, NV Pogorelov, WP Smith, ... The Astrophysical Journal 948 (2), 78, 2023	2	2023
Learning the solar latent space: sigma-variational autoencoders for multiple channel solar imaging EJE Brown, S Bonasera, B Benson, JA Pérez-Hernández, G Acciarini, ... Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021), 2021	2	2021
Determination of linear force-free magnetic field constant alpha using deep learning B Benson, Z Jiang, WD Pan, GA Gary, Q Hu 2017 International Conference on Computational Science and Computational …, 2017	2	2017
Transform decomposition switching for efficient attribute compression of 3D point clouds using neural networks R Hooda, WD Pan, B Benson 2022 International Conference on Computational Science and Computational …, 2022	1	2022
Improving the arrival time prediction of coronal mass ejections using magnetohydrodynamic ensemble modeling, heliospheric imager data and machine learning T Singh Proceedings of the 2nd Machine Learning in Heliophysics, 13, 2022	1	2022

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