Publications of Berkay Aydin

A list of publications authored or co-authored by Berkay Aydin, derived from the SAO/NASA Astrophysics Data System (ADS). The number in brackets after each title indicates the number of citations that the paper has received.

Orcid ID: 0000-0002-9799-9265

List of publications ordered by citations
Number of papers: 47 (refereed: 14)
No. of citations: 236
First author papers: 12 (refereed: 3)

2026

  1. A multimodal tiered magnetic polarity inversion features dataset for space weather forecasting [0]
    Khani, Ziba, Ji, Anli, Georgoulis, Manolis K. & Aydin, Berkay, Data in Brief, 64, 112385

2025

  1. Enhancing Solar Flare Prediction with Integrated Multi-Wavelength Imagery and Conformal Prediction [0]
    Hong, Jinsu, Pandey, Chetraj & Aydin, Berkay, essoar.173870762
  2. Integration of solar flare and coronal mass ejection event data [1]
    Ji, Anli, Georgoulis, Manolis K. & Aydin, Berkay, Data in Brief, 60, 111539

2024

  1. Precise and Accurate Short-term Forecasting of Solar Energetic Particle Events with Multivariate Time-series Classifiers [3]
    Rotti, Sumanth A., Aydin, Berkay & Martens, Petrus C., ApJ, 974, 188
  2. Short-term Classification of Strong Solar Energetic Particle Events Using Multivariate Time-series Classifiers [3]
    Rotti, Sumanth A., Aydin, Berkay & Martens, Petrus C., ApJ, 966, 165

2023

  1. A Systematic Magnetic Polarity Inversion Line Data Set from SDO/HMI Magnetograms [14]
    Ji, Anli, Cai, Xumin, Khasayeva, Nigar, Georgoulis, Manolis K., Martens, Petrus C., Angryk, Rafal A. & Aydin, Berkay, ApJS, 265, 28
  2. Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods [8]
    Pandey, Chetraj, Angryk, Rafal A. & Aydin, Berkay, Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track. ECML PKDD 2023. Lecture Notes in Computer Science, 14175, p. 72
  3. Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting [5]
    Pandey, Chetraj, Angryk, Rafal A., Georgoulis, Manolis K. & Aydin, Berkay, Lecture Notes in Computer Science, 14276, 567

2022

  1. Towards coupling full-disk and active region-based flare prediction for operational space weather forecasting [20]
    Pandey, Chetraj, Ji, Anli, Angryk, Rafal A., Georgoulis, Manolis K. & Aydin, Berkay, Frontiers in Astronomy and Space Sciences, 9, 897301
  2. Integrated Geostationary Solar Energetic Particle Events Catalog: GSEP [18]
    Rotti, Sumanth, Aydin, Berkay, Georgoulis, Manolis K. & Martens, Petrus C., ApJS, 262, 29

2021

  1. Avoiding More Accurate and Less Robust Models: Mistakes and Pitfalls in Training Flare Forecasting Models [0]
    Ahmadzadeh, Azim, Aydin, Berkay, Kempton, Dustin, Mahajan, Sushant, Georgoulis, Manolis & Angryk, Rafal, essoar.10508359
  2. How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events [69]
    Ahmadzadeh, Azim, Aydin, Berkay, Georgoulis, Manolis K., Kempton, Dustin J., Mahajan, Sushant S. & Angryk, Rafal A., ApJS, 254, 23
  3. Spatiotemporal event sequence discovery without thresholds [0]
    Aydin, Berkay, Boubrahimi, Soukaina Filali, Kucuk, Ahmet, Nezamdoust, Bita & Angryk, Rafal A., GeoInformatica, 25, 149

2020

  1. MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data [5]
    Ahmadzadeh, Azim, Sinha, Kankana, Aydin, Berkay & Angryk, Rafal A., SoftwareX, 12, 100518
  2. Multivariate time series dataset for space weather data analytics [62]
    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., Scientific Data, 7, 227
  3. A Catalog of Solar Flare Events Observed by the SOHO/EIT [7]
    Rotti, Sumanth A., Martens, Petrus C. H. & Aydin, Berkay, ApJS, 249, 20

2019

  1. Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting [0]
    Ahmadzadeh, Azim, Aydin, Berkay, Kempton, Dustin J., Hostetter, Maxwell, Angryk, Rafal A., Georgoulis, Manolis K. & Mahajan, Sushant S., 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), p. 293
  2. Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data [0]
    Ahmadzadeh, Azim, Hostetter, Maxwell, Aydin, Berkay, Georgoulis, Manolis K., Kempton, Dustin J., Mahajan, Sushant S. & Angryk, Rafal, 2019 IEEE International Conference on Big Data (Big Data), p. 178
  3. An Application of Spatio-temporal Co-occurrence Analyses for Integrating Solar Active Region Data from Multiple Reporting Modules [0]
    Cai, Xumin, Aydin, Berkay, Georgoulis, Manolis K. & Angryk, Rafal, 2019 IEEE International Conference on Big Data (Big Data), p. 628
  4. Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis [0]
    Hostetter, Maxwell, Ahmadzadeh, Azim, Aydin, Berkay, Georgoulis, Manolis K., Kempton, Dustin J. & Angryk, Rafal A., 2019 IEEE International Conference on Big Data (Big Data), p. 629

2018

  1. Scalable kNN Search Approximation for Time Series Data [0]
    Boubrahimi, Soukaina Filali, Ma, Ruizhe, Aydin, Berkay, Hamdi, Shah Muhammad & Angryk, Rafal, 2018 24th International Conference on Pattern Recognition (ICPR), p. 166
  2. Neuro-Ensemble [0]
    Filali Boubrahimi, Soukaina, Ma, Ruizhe, Aydin, Berkay & Angryk, Rafal, 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), p. 16
  3. Spatiotemporal Interpolation Methods for Solar Event Trajectories [5]
    Filali Boubrahimi, Soukaina, Aydin, Berkay, Schuh, Michael A., Kempton, Dustin, Angryk, Rafal A. & Ma, Ruizhe, ApJS, 236, 23
  4. Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks [0]
    Hamdi, Shah Muhammad, Aydin, Berkay, Filali Boubrahimi, Soukaina, Angryk, Rafal, Crystal Krishnamurthy, Lisa & Morris, Robin, 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), p. 11

2017

  1. Top-(R%, K) Spatiotemporal Event Sequence Mining [0]
    Aydin, Berkay, Kucuk, Ahmet, Boubrahimi, Soukaina Filali & Angryk, Rafal A., 2017 IEEE International Conference on Data Mining Workshops (ICDMW), p. 42
  2. Measuring the Significance of Spatiotemporal Co-Occurrences [0]
    Aydin, Berkay, Kucuk, Ahmet, Angryk, Rafal A. & Martens, Petrus C., ACM Transactions on Spatial Algorithms and Systems, 3, 1
  3. Parallel computation of magnetic field parameters from HMI active region patches [0]
    Basodi, Sunitha, Aydin, Berkay & Angryk, Rafal A., 2017 IEEE International Conference on Big Data (Big Data), p. 318
  4. On the prediction of >100 MeV solar energetic particle events using GOES satellite data [1]
    Boubrahimi, Soukaina Filali, Aydin, Berkay, Martens, Petrus & Angryk, Rafal, 2017 IEEE International Conference on Big Data (Big Data), p. 319
  5. Multi-wavelength solar event detection using faster R-CNN [0]
    Kucuk, Ahmet, Aydin, Berkay & Angryk, Rafal, 2017 IEEE International Conference on Big Data (Big Data), p. 321
  6. Cultivating Evolving Region Trajectory Datasets [0]
    Naduvil-Vadukootu, Sajitha, Aydin, Berkay, Schuh, Michael A. & Angryk, Rafal A., 2017 IEEE International Conference on Data Mining Workshops (ICDMW), p. 45

2016

  1. Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets [0]
    Akkineni, Vijay, Aydin, Berkay, Naduvil-Vadukootu, Sajitha & Angryk, Rafal, 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), p. 20
  2. Discovering spatiotemporal event sequences [1]
    Aydin, Berkay & Angryk, Rafal, Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, p. 46
  3. Mining spatiotemporal co-occurrence patterns in non-relational databases [5]
    Aydin, Berkay, Akkineni, Vijay & Angryk, Rafal, GeoInformatica, 20, 801
  4. A Graph-Based Approach to Spatiotemporal Event Sequence Mining [0]
    Aydin, Berkay & Angryk, Rafal A., 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), p. 157
  5. Spatiotemporal event sequence mining from evolving regions [0]
    Aydin, Berkay & Angryk, Rafal A., 2016 23rd International Conference on Pattern Recognition (ICPR), p. 692
  6. Indexing spatiotemporal relations in solar event datasets [0]
    Aydin, Berkay, Kucuk, Ahmet & Angryk, Rafal A., 2016 IEEE International Conference on Big Data (Big Data), p. 396
  7. Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances [0]
    Boubrahimi, Soukaina Filali, Aydin, Berkay, Kempton, Dustin, Mahajan, Sushant S. & Angryk, Rafal, 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), p. 26
  8. Spatio-temporal interpolation methods for solar events metadata [0]
    Boubrahimi, Soukaina Filali, Aydin, Berkay, Kempton, Dustin & Angryk, Rafal, 2016 IEEE International Conference on Big Data (Big Data), p. 397
  9. SOLEV: a video generation framework for solar events from mixed data sources (demo paper) [0]
    Boubrahimi, Soukaina Filali, Aydin, Berkay, Kempton, Dustin & Angryk, Rafal A., Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, p. 1
  10. A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns [0]
    Hamdi, Shah Muhammad, Aydin, Berkay & Angryk, Rafal A., 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), p. 162
  11. Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories [0]
    Kucuk, Ahmet, Hamdi, Shah Muhammad, Aydin, Berkay, Schuh, Michael A. & Angryk, Rafal A., 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), p. 24
  12. Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations [0]
    Pillai, Karthik Ganesan, Angryk, Rafal A., Banda, Juan M., Kempton, Dustin, Aydin, Berkay & Martens, Petrus C., ACM Transactions on Spatial Algorithms and Systems, 2, 1

2015

  1. Mining spatiotemporal co-occurrence patterns in solar datasets [5]
    Aydin, B., Kempton, D., Akkineni, V., Angryk, R. & Pillai, K. G., Astronomy and Computing, 13, 136
  2. Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics [1]
    Aydin, Berkay, Akkineni, Vijay & Angryk, Rafal, Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, p. 1
  3. Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions [0]
    Aydin, Berkay & Angryk, Rafal, 2015 IEEE International Conference on Data Mining Workshop (ICDMW), p. 84

2014

  1. Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns [0]
    Aydin, Berkay, Kempton, Dustin, Akkineni, Vijay, Gopavaram, Shaktidhar Reddy, Pillai, Karthik Ganesan & Angryk, Rafal, 2014 IEEE International Conference on Big Data (Big Data), p. 201

2013

  1. A filter-and-refine approach to mine spatiotemporal co-occurrences [3]
    Pillai, Karthik Ganesan, Angryk, Rafal A. & Aydin, Berkay, Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, p. 104

Created on Wed Apr 8 04:30:05 2026.