Manolis K. Georgoulis

According to our database, Manolis K. Georgoulis authored at least 18 papers between 2013 and 2024.

Collaborative distances:

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

2024

Generative Simulations of The Solar Corona Evolution With Denoising Diffusion : Proof of Concept.

Grégoire Francisco, Francesco P. Ramunno, Manolis K. Georgoulis, João Fernandes, Teresa Barata, Dario Del Moro

CoRR, 2024

Magnetogram-to-Magnetogram: Generative Forecasting of Solar Evolution.

Francesco P. Ramunno, Hyun-Jin Jeong, Stefan Hackstein, André Csillaghy, Svyatoslav Voloshynovskiy, Manolis K. Georgoulis

CoRR, 2024

2023

Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting.

Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin

Proceedings of the Discovery Science - 26th International Conference, 2023

2022

Magnetic Polarity Inversion Line Detection and Analysis Tool.

Anli Ji, Nigar Khasayeva, Xumin Cai, Manolis K. Georgoulis, Petrus C. Martens, Rafal A. Angryk, Berkay Aydin

Dataset, June, 2022

Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting.

Chetraj Pandey, Anli Ji, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin

CoRR, 2022

2021

How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events.

Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk

CoRR, 2021

A Modular Approach to Building Solar Energetic Particle Event Forecasting Systems.

Anli Ji, Akhil Arya, Dustin Kempton, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 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

All-Clear Flare Prediction Using Interval-based Time Series Classifiers.

Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks.

Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Deep Neural Network-based Active Region Magnetogram Patch Super Resolution.

Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Framework for Detecting Polarity Inversion Lines from Longitudinal Magnetograms.

Xumin Cai, Berkay Aydin, Anli Ji, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting.

Azim Ahmadzadeh, Berkay Aydin, Dustin J. Kempton, Maxwell Hostetter, Rafal A. Angryk, Manolis K. Georgoulis, Sushant S. Mahajan

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Solar Pre-Flare Classification with Time Series Profiling.

Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis.

Maxwell Hostetter, Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

An Application of Spatio-temporal Co-occurrence Analyses for Integrating Solar Active Region Data from Multiple Reporting Modules.

Xumin Cai, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data.

Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2013

Toward an Efficient Prediction of Solar Flares: Which Parameters, and How?

Manolis K. Georgoulis

Entropy, 2013