Ryan M. McGranaghan

According to our database, Ryan M. McGranaghan authored at least 7 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning Structures and Recommendations for 2020-2050.

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

CoRR, 2022

Global geomagnetic perturbation forecasting using Deep Learning.

Vishal Upendran, Panagiotis Tigas, Banafsheh Ferdousi, Téo Bloch, Mark C. M. Cheung, Siddha Ganju, Asti Bhatt, Ryan M. McGranaghan, Yarin Gal

CoRR, 2022

2021

Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition.

Panagiotis Tigas, Téo Bloch, Vishal Upendran, Banafsheh Ferdoushi, Mark C. M. Cheung, Siddha Ganju, Ryan M. McGranaghan, Yarin Gal, Asti Bhatt

CoRR, 2021

Towards a Modular Ontology for Space Weather Research.

Cogan Shimizu, Ryan M. McGranaghan, Aaron Eberhart, Adam C. Kellerman

Proceedings of the Advances in Pattern-Based Ontology Engineering, 2021

Risk Identification & Quantification in Complex Human-Natural Systems via Convergent Data Intensive Research.

Toryn L. J. Schafer, Ryan M. McGranaghan, Mila Getmansky Sherman, Mei-Ling E. Feng, Olukunle O. Owolabi, Sean E. Ryan, Marie-Christine Düker, Michael Jauch, David S. Matteson

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Harnessing expressive capacity of Machine Learning modeling to represent complex coupling of Earth's auroral space weather regimes.

Jack Ziegler, Ryan M. McGranaghan

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

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

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 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

CoRR, 2020