Manolis K. Georgoulis

Orcid: 0000-0001-6913-1330

According to our database1, Manolis K. Georgoulis authored at least 15 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting.
Proceedings of the Discovery Science - 26th International Conference, 2023

2022
Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting.
CoRR, 2022

2021
How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events.
CoRR, 2021

A Modular Approach to Building Solar Energetic Particle Event Forecasting Systems.
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.
CoRR, 2020

All-Clear Flare Prediction Using Interval-based Time Series Classifiers.
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.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Deep Neural Network-based Active Region Magnetogram Patch Super Resolution.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Framework for Detecting Polarity Inversion Lines from Longitudinal Magnetograms.
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.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Solar Pre-Flare Classification with Time Series Profiling.
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.
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.
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.
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?
Entropy, 2013


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