Enrico Camporeale

11 papers A* 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
PARIS: Pruning Algorithm via the Representer theorem for Imbalanced Scenarios.
CoRR
Enrico Camporeale
2025 J jnl
The Machine Learning Approach to Moment Closure Relations for Plasma: A Review.
CoRR
Samuel Burles, Enrico Camporeale
2022 J jnl
Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning Structures and Recommendations for 2020-2050.
CoRR
Ryan M. McGranaghan, Barbara J. Thompson, Enrico Camporeale, J. Bortnik, Monica G. Bobra, G. Lapenta, S. Wing, Bala Poduval, S. Lotz, S. Murray, Michael S. F. Kirk, T. Y. Chen, H. M. Bain, P. Riley, B. Tremblay, M. Cheung, Véronique Delouille
2022 J jnl
Multi-Hour Ahead Dst Index Prediction Using Multi-Fidelity Boosted Neural Networks.
CoRR
Andong Hu, Enrico Camporeale, B. Swiger
2021 J jnl
A Machine-Learning-Ready Dataset Prepared from the Solar and Heliospheric Observatory Mission.
CoRR
Carl Shneider, Andong Hu, Ajay K. Tiwari, Monica G. Bobra, Karl Battams, Jannis Teunissen, Enrico Camporeale
2020 A* conf
Dynamic Time Lag Regression: Predicting What & When.
ICLR
Mandar Chandorkar, Cyril Furtlehner, Bala Poduval, Enrico Camporeale, Michèle Sebag
2020 J jnl
Estimation of Accurate and Calibrated Uncertainties in Deterministic models.
CoRR
Enrico Camporeale, Algo Carè
2020 J jnl
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations.
CoRR
Gelu Nita, Manolis K. Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason T. L. Wang, Rafal A. 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 G. Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus C. Martens, Ryan M. McGranaghan, Edward Semones, John T. Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu
2018 J jnl
Accuracy-Reliability Cost Function for Empirical Variance Estimation.
CoRR
Enrico Camporeale
2016 J jnl
On the velocity space discretization for the Vlasov-Poisson system: Comparison between implicit Hermite spectral and Particle-in-Cell methods.
Comput. Phys. Commun.
Enrico Camporeale, Gian Luca Delzanno, Benjamin K. Bergen, J. David Moulton
2013 J jnl
On particle movers in cylindrical geometry for Particle-In-Cell simulations.
J. Comput. Phys.
Gian Luca Delzanno, Enrico Camporeale