Publications of Rafal A. Angryk ordered by citations

A list of publications authored or co-authored by Rafal A. Angryk, derived from the SAO/NASA Astrophysics Data System (ADS) and ordered by the numbers of citations. Publications above the horizontal line count towards the h-index.

Orcid ID: 0000-0001-9598-8207

96	Computer Vision for the Solar Dynamics Observatory (SDO) Martens, P. C. H., Attrill, G. D. R., Davey, A. R., Engell, A., Farid, S., Grigis, P. C., Kasper, J., Korreck, K., Saar, S. H., Savcheva, A., Su, Y., Testa, P., Wills-Davey, M., Bernasconi, P. N., Raouafi, N.-E., Delouille, V. A., Hochedez, J. F., Cirtain, J. W., DeForest, C. E., Angryk, R. A., De Moortel, I., Wiegelmann, T., Georgoulis, M. K., McAteer, R. T. J. & Timmons, R. P., 2012, Solar Physics, 275, 79
67	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
21	Prediction of Solar Eruptions Using Filament Metadata Aggarwal, Ashna, Schanche, Nicole, Reeves, Katharine K., Kempton, Dustin & Angryk, Rafal, 2018, ApJS, 236, 15
13	A Comparative Evaluation of Automated Solar Filament Detection Schuh, M. A., Banda, J. M., Bernasconi, P. N., Angryk, R. A. & Martens, P. C. H., 2014, Solar Physics, 289, 2503
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
11	A large-scale solar dynamics observatory image dataset for computer vision applications Kucuk, Ahmet, Banda, Juan M. & Angryk, Rafal A., 2017, Scientific Data, 4, 170096
9	Tracking Solar Events through Iterative Refinement Kempton, D. J. & Angryk, R. A., 2015, Astronomy and Computing, 13, 124
9	Data Handling and Assimilation for Solar Event Prediction Martens, Petrus C. & Angryk, Rafal A., 2018, Space Weather of the Heliosphere: Processes and Forecasts (Editors: Foullon, Claire & Malandraki, Olga E.), IAU Symposium, 335, p. 344
8	A Curated Image Parameter Data Set from the Solar Dynamics Observatory Mission Ahmadzadeh, Azim, Kempton, Dustin J. & Angryk, Rafal A., 2019, ApJS, 243, 18
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
7	Steps Toward a Large-Scale Solar Image Data Analysis to Differentiate Solar Phenomena Banda, J. M., Angryk, R. A. & Martens, P. C. H., 2013, Solar Physics, 288, 435
7	Coronal Mass Ejection Data Clustering and Visualization of Decision Trees Ma, Ruizhe, Angryk, Rafal A., Riley, Pete & Filali Boubrahimi, Soukaina, 2018, ApJS, 236, 14
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
5	Mining spatiotemporal co-occurrence patterns in non-relational databases Aydin, Berkay, Akkineni, Vijay & Angryk, Rafal, 2016, GeoInformatica, 20, 801
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
5	On visualization techniques for solar data mining Schuh, M. A., Banda, J. M., Wylie, T., McInerney, P., Pillai, K. Ganesan & Angryk, R. A., 2015, Astronomy and Computing, 10, 32
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
5	A large-scale dataset of solar event reports from automated feature recognition modules Schuh, Michael A., Angryk, Rafal A. & Martens, Petrus C., 2016, Journal of Space Weather and Space Climate, 6, A22
4	On Dimensionality Reduction for Indexing and Retrieval of Large-Scale Solar Image Data Banda, J. M., Angryk, R. A. & Martens, P. C. H., 2013, Solar Physics, 283, 113
4	Tracking Solar Phenomena from the SDO Kempton, Dustin J., Schuh, Michael A. & Angryk, Rafal A., 2018, ApJ, 869, 54
4	Solar image parameter data from the SDO: Long-term curation and data mining Schuh, M. A., Angryk, R. A. & Martens, P. C., 2015, Astronomy and Computing, 13, 86
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
1	Regional content-based image retrieval for solar images: Traditional versus modern methods Banda, J. M. & Angryk, R. A., 2015, Astronomy and Computing, 13, 108
1	Outlier Detection and Removal in Multivariate Time Series for a More Robust Machine Learning─based Solar Flare Prediction Wen, Junzhi, Ahmadzadeh, Azim, Georgoulis, Manolis K., Sadykov, Viacheslav M. & Angryk, Rafal A., 2025, ApJS, 277, 60
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
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
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
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
0	Special Section: Management, Search and Analysis of Solar Astronomy Big Data Angryk, Rafal A., Csillaghy, André & Martens, Petrus C., 2015, Astronomy and Computing, 13, 85
0	An IEEE Standards-Based Visualization Tool for Knowledge Discovery in Maintenance Event Sequences Schuh, Michael, Sheppard, John, Strasser, Shane, Angryk, Rafal & Izurieta, Clemente, 2013, IEEE Aerospace and Electronic Systems Magazine, 28, 30
0	On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images Banda, Juan M. & Angryk, Rafal A., 2009, 2009 IEEE International Conference on Fuzzy Systems, p. 357
0	An Abstraction-Based Data Model for Information Retrieval McAllister, Richard A. & Angryk, Rafal A., 2009, Lecture Notes in Computer Science, p.567
0	Sense based organization of descriptive data Hossain, M. Shahriar, Akbar, Monika & Angryk, Rafal A., 2007, 2007 IEEE International Conference on Systems, p. 523
0	Measuring semantic similarity using wordnet-based context vectors Shen Wan & Angryk, Rafal A., 2007, 2007 IEEE International Conference on Systems, p. 24
0	Heuristic Algorithm for Interpretation of Non-Atomic Categorical Attributes in Similarity-based Fuzzy Databases Scalability Evaluation Hossain, M. Shahriar & Angryk, Rafal A., 2007, NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society, p. 49
0	GDClust: A Graph-Based Document Clustering Technique Hossain, M. Shahriar & Angryk, Rafal A., 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007), p. 71
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
0	An ML-Ready Filament Augmentation Engine with Labeled Magnetic Helicity Sign Talla, Shreejaa, Ahmadzadeh, Azim, Mahajan, Sushant & Angryk, Rafal, 2021, essoar.10509388
0	Twenty Feature Selection Algorithms, One Dataset, One Problem: Flare Forecasting Yeolekar, Atharv, Patel, Sagar, Tall, Shreejaa, Rukmini Puthucode, Krishna, Ahmadzadeh, Azim, Sadykov, Viacheslav & Angryk, Rafal, 2021, essoar.10509390
0	Distributed Document Clustering Using Word-clusters Deb, Debzani & Angryk, Rafal A., 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining, p. 59
0	Similarity-driven Defuzzification of Fuzzy Tuples for Entropy-based Data Classification Purposes Angryk, R. A., 2006, 2006 IEEE International Conference on Fuzzy Systems, p. 61
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
0	Information filtering via fuzzy hierarchical induction Barbu, C., Angryk, R. A., Petry, F. E. & Simina, M., 2004, 2004 IEEE International Conference on Systems, 4, p. 95