Publications of Berkay Aydin ordered by citations
A list of publications authored or co-authored by Berkay Aydin, derived from the SAO/NASA Astrophysics Data System (ADS) and ordered by the numbers of citations.
Orcid ID: 0000-0002-9799-9265
Number of papers: 25
No. of citations: 220
| 64
| How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events
Ahmadzadeh, Azim, Aydin, Berkay, Georgoulis, Manolis K., Kempton, Dustin J., Mahajan, Sushant S. & Angryk, Rafal A., 2021, ApJS, 254, 23
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| 58
| Multivariate time series dataset for space weather data analytics
Angryk, Rafal A., Martens, Petrus C., Aydin, Berkay, Kempton, Dustin, Mahajan, Sushant S., Basodi, Sunitha, Ahmadzadeh, Azim, Cai, Xumin, Filali Boubrahimi, Soukaina, Hamdi, Shah Muhammad, Schuh, Michael A. & Georgoulis, Manolis K., 2020, Scientific Data, 7, 227
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| 19
| Towards coupling full-disk and active region-based flare prediction for operational space weather forecasting
Pandey, Chetraj, Ji, Anli, Angryk, Rafal A., Georgoulis, Manolis K. & Aydin, Berkay, 2022, Frontiers in Astronomy and Space Sciences, 9, 897301
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| 17
| Integrated Geostationary Solar Energetic Particle Events Catalog: GSEP
Rotti, Sumanth, Aydin, Berkay, Georgoulis, Manolis K. & Martens, Petrus C., 2022, ApJS, 262, 29
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| 12
| A Systematic Magnetic Polarity Inversion Line Data Set from SDO/HMI Magnetograms
Ji, Anli, Cai, Xumin, Khasayeva, Nigar, Georgoulis, Manolis K., Martens, Petrus C., Angryk, Rafal A. & Aydin, Berkay, 2023, ApJS, 265, 28
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| 8
| Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods
Pandey, Chetraj, Angryk, Rafal A. & Aydin, Berkay, 2023, Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track. ECML PKDD 2023. Lecture Notes in Computer Science, 14175, p. 72
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| 7
| A Catalog of Solar Flare Events Observed by the SOHO/EIT
Rotti, Sumanth A., Martens, Petrus C. H. & Aydin, Berkay, 2020, ApJS, 249, 20
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| 5
| Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting
Pandey, Chetraj, Angryk, Rafal A., Georgoulis, Manolis K. & Aydin, Berkay, 2023, Lecture Notes in Computer Science, 14276, 567
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| 5
| Mining spatiotemporal co-occurrence patterns in solar datasets
Aydin, B., Kempton, D., Akkineni, V., Angryk, R. & Pillai, K. G., 2015, Astronomy and Computing, 13, 136
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| 5
| Spatiotemporal Interpolation Methods for Solar Event Trajectories
Filali Boubrahimi, Soukaina, Aydin, Berkay, Schuh, Michael A., Kempton, Dustin, Angryk, Rafal A. & Ma, Ruizhe, 2018, ApJS, 236, 23
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| 5
| MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data
Ahmadzadeh, Azim, Sinha, Kankana, Aydin, Berkay & Angryk, Rafal A., 2020, SoftwareX, 12, 100518
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| 5
| Mining spatiotemporal co-occurrence patterns in non-relational databases
Aydin, Berkay, Akkineni, Vijay & Angryk, Rafal, 2016, GeoInformatica, 20, 801
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| 3
| Short-term Classification of Strong Solar Energetic Particle Events Using Multivariate Time-series Classifiers
Rotti, Sumanth A., Aydin, Berkay & Martens, Petrus C., 2024, ApJ, 966, 165
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| 3
| A filter-and-refine approach to mine spatiotemporal co-occurrences
Pillai, Karthik Ganesan, Angryk, Rafal A. & Aydin, Berkay, 2013, Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, p. 104
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| 2
| Precise and Accurate Short-term Forecasting of Solar Energetic Particle Events with Multivariate Time-series Classifiers
Rotti, Sumanth A., Aydin, Berkay & Martens, Petrus C., 2024, ApJ, 974, 188
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| 1
| Discovering spatiotemporal event sequences
Aydin, Berkay & Angryk, Rafal, 2016, Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, p. 46
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| 1
| Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics
Aydin, Berkay, Akkineni, Vijay & Angryk, Rafal, 2015, Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, p. 1
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| 0
| A multimodal tiered magnetic polarity inversion features dataset for space weather forecasting
Khani, Ziba, Ji, Anli, Georgoulis, Manolis K. & Aydin, Berkay, 2026, Data in Brief, 64, 112385
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| 0
| Enhancing Solar Flare Prediction with Integrated Multi-Wavelength Imagery and Conformal Prediction
Hong, Jinsu, Pandey, Chetraj & Aydin, Berkay, 2025, essoar.173870762
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| 0
| Spatiotemporal event sequence discovery without thresholds
Aydin, Berkay, Boubrahimi, Soukaina Filali, Kucuk, Ahmet, Nezamdoust, Bita & Angryk, Rafal A., 2021, GeoInformatica, 25, 149
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| 0
| SOLEV: a video generation framework for solar events from mixed data sources (demo paper)
Boubrahimi, Soukaina Filali, Aydin, Berkay, Kempton, Dustin & Angryk, Rafal A., 2016, Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, p. 1
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| 0
| Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations
Pillai, Karthik Ganesan, Angryk, Rafal A., Banda, Juan M., Kempton, Dustin, Aydin, Berkay & Martens, Petrus C., 2016, ACM Transactions on Spatial Algorithms and Systems, 2, 1
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| 0
| Integration of solar flare and coronal mass ejection event data
Ji, Anli, Georgoulis, Manolis K. & Aydin, Berkay, 2025, Data in Brief, 60, 111539
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| 0
| Measuring the Significance of Spatiotemporal Co-Occurrences
Aydin, Berkay, Kucuk, Ahmet, Angryk, Rafal A. & Martens, Petrus C., 2017, ACM Transactions on Spatial Algorithms and Systems, 3, 1
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| 0
| Avoiding More Accurate and Less Robust Models: Mistakes and Pitfalls in Training Flare Forecasting Models
Ahmadzadeh, Azim, Aydin, Berkay, Kempton, Dustin, Mahajan, Sushant, Georgoulis, Manolis & Angryk, Rafal, 2021, essoar.10508359
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Created on Sun Mar 8 04:26:38 2026.
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