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Picture for Enrico Camporeale

Enrico Camporeale

CIRES, University of Colorado, Boulder, CO, USA, NOAA, Space Weather Prediction Center, Boulder, CO, USA

A Machine-Learning-Ready Dataset Prepared from the Solar and Heliospheric Observatory Mission

Aug 04, 2021
Carl Shneider, Andong Hu, Ajay K. Tiwari, Monica G. Bobra, Karl Battams, Jannis Teunissen, Enrico Camporeale

* under review 

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Next generation particle precipitation: Mesoscale prediction through machine learning (a case study and framework for progress)

Nov 19, 2020
Ryan M. McGranaghan, Jack Ziegler, Téo Bloch, Spencer Hatch, Enrico Camporeale, Kristina Lynch, Mathew Owens, Jesper Gjerloev, Binzheng Zhang, Susan Skone

* Under review 

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Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations

Jun 22, 2020
Gelu Nita, Manolis Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason Wang, Rafal Angryk, Berkay Aydin, Azim Ahmadzadeh, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus Martens, Ryan McGranaghan, Edward Semones, John Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu

* Workshop Report 

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Estimation of Accurate and Calibrated Uncertainties in Deterministic models

Mar 11, 2020
Enrico Camporeale, Algo Carè

* arXiv admin note: substantial text overlap with arXiv:1803.04475 

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A gray-box model for a probabilistic estimate of regional ground magnetic perturbations: Enhancing the NOAA operational Geospace model with machine learning

Dec 02, 2019
Enrico Camporeale, M. D. Cash, H. J. Singer, C. C. Balch, Z. Huang, G. Toth

* under review 

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Accuracy-Reliability Cost Function for Empirical Variance Estimation

Mar 12, 2018
Enrico Camporeale

* under review for ICML 2018 

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