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.

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
70	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
14	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
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
11	A large-scale solar dynamics observatory image dataset for computer vision applications Kucuk, Ahmet, Banda, Juan M. & Angryk, Rafal A., 2017, Nature Scientific Data, Nature Scientific Data, 4, p. 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	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
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
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
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
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	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
5	Mining spatiotemporal co-occurrence patterns in non-relational databases Aydin, Berkay, Akkineni, Vijay & Angryk, Rafal, 2016, GeoInformatica, 20, 801
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	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	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
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
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
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
2	Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns Aydin, Berkay, Kempton, Dustin, Akkineni, Vijay, Gopavaram, Shaktidhar Reddy, Pillai, Karthik Ganesan & Angryk, Rafal, 2014, 2014 IEEE International Conference on Big Data (Big Data), p. 201
2	On the prediction of >100 MeV solar energetic particle events using GOES satellite data Boubrahimi, Soukaina Filali, Aydin, Berkay, Martens, Petrus & Angryk, Rafal, 2017, 2017 IEEE International Conference on Big Data (Big Data), p. 319
2	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	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
1	Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories Kucuk, Ahmet, Hamdi, Shah Muhammad, Aydin, Berkay, Schuh, Michael A. & Angryk, Rafal A., 2016, 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom), p. 24
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	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
1	Top-(R%, K) Spatiotemporal Event Sequence Mining Aydin, Berkay, Kucuk, Ahmet, Boubrahimi, Soukaina Filali & Angryk, Rafal A., 2017, 2017 International Conference on Data Management, Analytics and Innovation (ICDMAI), p. 42
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	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
1	Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions Pillai, Karthik Ganesan, Angryk, Rafal A., Banda, Juan M., Schuh, Michael A. & Wylie, Tim, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops, p. 133
1	Iterative refinement of multiple targets tracking of solar events Kempton, Dustin, Pillai, Karthik Ganesan & Angryk, Rafal, 2014, 2014 IEEE International Conference on Big Data (Big Data), p. 205
1	Graph-based ontology-guided data mining for D-matrix model maturation Strasser, Shane, Sheppard, John, Schuh, Michael, Angryk, Rafal & Izurieta, Clemente, 2011, 2011 Aerospace Conference, p. 366
1	Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions Aydin, Berkay & Angryk, Rafal, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW), p. 84
1	Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets Akkineni, Vijay, Aydin, Berkay, Naduvil-Vadukootu, Sajitha & Angryk, Rafal, 2016, 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom), p. 20
0	The SMART approach to comprehensive quality assessment of site-based spatial-temporal data Angryk, Rafal A. & Galarus, Douglas E., 2016, 2016 IEEE International Conference on Big Data (Big Data), p. 333
0	Indexing spatiotemporal relations in solar event datasets Aydin, Berkay, Kucuk, Ahmet & Angryk, Rafal A., 2016, 2016 IEEE International Conference on Big Data (Big Data), p. 396
0	Spatio-temporal interpolation methods for solar events metadata Boubrahimi, Soukaina Filali, Aydin, Berkay, Kempton, Dustin & Angryk, Rafal, 2016, 2016 IEEE International Conference on Big Data (Big Data), p. 397
0	Describing solar images with sparse coding for similarity search Kempton, Dustin J., Schuh, Michael A. & Angryk, Rafal A., 2016, 2016 IEEE International Conference on Big Data (Big Data), p. 399
0	A data-driven analysis of interplanetary coronal mass ejecta and magnetic flux ropes Ma, Ruizhe, Angryk, Rafal & Riley, Pete, 2016, 2016 IEEE International Conference on Big Data (Big Data), p. 400
0	On the theory and practice of high-dimensional data indexing with iDistance Schuh, Michael A. & Angryk, Rafal A., 2016, 2016 IEEE International Conference on Big Data (Big Data), p. 450
0	A Graph-Based Approach to Spatiotemporal Event Sequence Mining Aydin, Berkay & Angryk, Rafal A., 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), p. 157
0	A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns Hamdi, Shah Muhammad, Aydin, Berkay & Angryk, Rafal A., 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), p. 162
0	Spatiotemporal event sequence mining from evolving regions Aydin, Berkay & Angryk, Rafal A., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR), p. 692
0	Using Taxonomies to Perform Aggregated Querying over Imprecise Data Roy, Atanu, Sarkar, Chandrima & Angryk, Rafal A., 2010, 2010 International Conference on Digital Manufacturing & Automation, p. 149
0	Improving the functionality of tamura directionality on solar images Ahmadzadeh, Azim, Kempton, Dustin J., Schuh, Michael A. & Angryk, Rafal A., 2017, 2017 IEEE International Conference on Big Data (Big Data), p. 317
0	Parallel computation of magnetic field parameters from HMI active region patches Basodi, Sunitha, Aydin, Berkay & Angryk, Rafal A., 2017, 2017 IEEE International Conference on Big Data (Big Data), p. 318
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
0	A time series classification-based approach for solar flare prediction Hamdi, Shah Muhammad, Kempton, Dustin, Ma, Ruizhe, Boubrahimi, Soukaina Filali & Angryk, Rafal A., 2017, 2017 IEEE International Conference on Big Data (Big Data), p. 320
0	Multi-wavelength solar event detection using faster R-CNN Kucuk, Ahmet, Aydin, Berkay & Angryk, Rafal, 2017, 2017 IEEE International Conference on Big Data (Big Data), p. 321
0	Solar flare prediction using multivariate time series decision trees Ma, Ruizhe, Boubrahimi, Soukaina Filali, Hamdi, Shah Muhammad & Angryk, Rafal A., 2017, 2017 IEEE International Conference on Big Data (Big Data), p. 323
0	Distance and Density Clustering for Time Series Data Ma, Ruizhe & Angryk, Rafal, 2017, 2017 International Conference on Data Management, Analytics and Innovation (ICDMAI), p. 12
0	Cultivating Evolving Region Trajectory Datasets Naduvil-Vadukootu, Sajitha, Aydin, Berkay, Schuh, Michael A. & Angryk, Rafal A., 2017, 2017 International Conference on Data Management, Analytics and Innovation (ICDMAI), p. 45
0	Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory Banda, Juan M. & Angryk, Rafal A., 2010, 2010 International Conference on Digital Image Computing: Techniques and Applications, p. 96
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	Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks Hamdi, Shah Muhammad, Aydin, Berkay, Filali Boubrahimi, Soukaina, Angryk, Rafal, Crystal Krishnamurthy, Lisa & Morris, Robin, 2018, 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), p. 11
0	Neuro-Ensemble Filali Boubrahimi, Soukaina, Ma, Ruizhe, Aydin, Berkay & Angryk, Rafal, 2018, 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), p. 16
0	Multivariate Time Series Nearest Neighbor Search: A Case Study on Solar Flare Prediction Filali Boubrahimi, Soukaina & Angryk, Rafal, 2018, 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), p. 35
0	Heuristics Significance of Neuro-Ensemble-based Time Series Classification Boubrahimi, Soukaina Filali & Angryk, Rafal, 2018, 2018 IEEE International Conference on Big Data (Big Data), p. 11
0	Segmentation of Time Series in Improving Dynamic Time Warping Ma, Ruizhe, Ahmadzadeh, Azim, Boubrahimi, Soukaina Filali & Angryk, Rafal A., 2018, 2018 IEEE International Conference on Big Data (Big Data), p. 484
0	Neuro-Ensemble for Time Series Data Classification Filali Boubrahimi, Soukaina, Ma, Ruizhe & Angryk, Rafal, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), p. 15
0	Scalable kNN Search Approximation for Time Series Data Boubrahimi, Soukaina Filali, Ma, Ruizhe, Aydin, Berkay, Hamdi, Shah Muhammad & Angryk, Rafal, 2018, 2018 24th International Conference on Pattern Recognition (ICPR), p. 166
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	Solar Pre-Flare Classification with Time Series Profiling Ma, Ruizhe, Ahmadzadeh, Azim, Boubrahimi, Soukaina Filali, Georgoulis, Manolis K. & Angryk, Rafal A., 2019, 2019 IEEE International Conference on Big Data (Big Data), p. 630
0	Interpretable Feature Learning of Graphs using Tensor Decomposition Hamdi, Shah Muhammad & Angryk, Rafal, 2019, 2019 International Conference on Data Mining Workshops (ICDMW), p. 37
0	Discriminative Regularized Deep Generative Models for Semi-Supervised Learning Xie, Qianqian, Huang, Jimin, Peng, Min, Zhang, Yihan, Peng, Kaifei & Wang, Hua, 2019, 2019 International Conference on Data Mining Workshops (ICDMW), p. 76
0	Scalable solar image Retrieval with Lucene Banda, Juan M. & Angryk, Rafal A., 2014, 2014 IEEE International Conference on Big Data (Big Data), p. 202
0	Massive labeled solar image data benchmarks for automated feature recognition Schuh, Michael A. & Angryk, Rafal A., 2014, 2014 IEEE International Conference on Big Data (Big Data), p. 207
0	Image retrieval on compressed images: Can we tell the difference? Banda, Juan M., Angryk, Rafal A., Schuh, Michael A. & Martens, Petrus C., 2014, 2014 4th International Conference on Image Processing Theory, p. 58
0	Region-Based Querying of Solar Data Using Descriptor Signatures Banda, Juan M., Liu, Chang & Angryk, Rafal A., 2013, 2013 IEEE 13th International Conference on Data Mining Workshops, p. 26
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 surprisingly accurate transfer of image parameters between medical and solar images Banda, Juan M., Angryk, Rafal A. & Martens, Petrus C., 2011, 2011 18th IEEE International Conference on Image Processing, p. 923
0	Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images Banda, Juan M. & Angryk, Rafal A., 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW), p. 85
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	Ontology-guided knowledge discovery of event sequences in maintenance data Schuh, Michael, Sheppard, John, Strasser, Shane, Angryk, Rafal & Izurieta, Clemente, 2011, 2011 IEEE AUTOTESTCON, p. 48
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	Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances Boubrahimi, Soukaina Filali, Aydin, Berkay, Kempton, Dustin, Mahajan, Sushant S. & Angryk, Rafal, 2016, 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom), p. 26
0	Which Verification Metrics Are Appropriate for Rare-Event Classification Problems? Ahmadzadeh, Azim, Kempton, Dustin, Martens, Petrus & Angryk, Rafal, 2021, essoar.10508222
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	A large-scale solar image dataset with labeled event regions Schuh, Michael A., Angryk, Rafal A., Pillai, Karthik Ganesan, Banda, Juan M. & Martens, Petrus C., 2013, 2013 IEEE International Conference on Image Processing, p. 903
0	On Using SIFT Descriptors for Image Parameter Evaluation McInerney, Patrick M., Banda, Juan M. & Angryk, Rafal A., 2013, 2013 IEEE 13th International Conference on Data Mining Workshops, p. 30
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