Publications of Rafal A. Angryk

A list of publications authored or co-authored by Rafal A. Angryk, 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: 0000-0001-9598-8207

List of publications ordered by citations
Number of papers: 91 (refereed: 21)
No. of citations: 336
First author papers: 3 (refereed: 1)

2025

  1. Outlier Detection and Removal in Multivariate Time Series for a More Robust Machine Learning─based Solar Flare Prediction [2]
    Wen, Junzhi, Ahmadzadeh, Azim, Georgoulis, Manolis K., Sadykov, Viacheslav M. & Angryk, Rafal A., ApJS, 277, 60

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

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. Which Verification Metrics Are Appropriate for Rare-Event Classification Problems? [0]
    Ahmadzadeh, Azim, Kempton, Dustin, Martens, Petrus & Angryk, Rafal, essoar.10508222
  3. How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events [70]
    Ahmadzadeh, Azim, Aydin, Berkay, Georgoulis, Manolis K., Kempton, Dustin J., Mahajan, Sushant S. & Angryk, Rafal A., ApJS, 254, 23
  4. An ML-Ready Filament Augmentation Engine with Labeled Magnetic Helicity Sign [0]
    Talla, Shreejaa, Ahmadzadeh, Azim, Mahajan, Sushant & Angryk, Rafal, essoar.10509388
  5. Twenty Feature Selection Algorithms, One Dataset, One Problem: Flare Forecasting [0]
    Yeolekar, Atharv, Patel, Sagar, Tall, Shreejaa, Rukmini Puthucode, Krishna, Ahmadzadeh, Azim, Sadykov, Viacheslav & Angryk, Rafal, essoar.10509390

2019

  1. A Curated Image Parameter Data Set from the Solar Dynamics Observatory Mission [8]
    Ahmadzadeh, Azim, Kempton, Dustin J. & Angryk, Rafal A., ApJS, 243, 18
  2. Interpretable Feature Learning of Graphs using Tensor Decomposition [0]
    Hamdi, Shah Muhammad & Angryk, Rafal, 2019 International Conference on Data Mining Workshops (ICDMW), p. 37
  3. Solar Pre-Flare Classification with Time Series Profiling [0]
    Ma, Ruizhe, Ahmadzadeh, Azim, Boubrahimi, Soukaina Filali, Georgoulis, Manolis K. & Angryk, Rafal A., 2019 IEEE International Conference on Big Data (Big Data), p. 630
  4. Discriminative Regularized Deep Generative Models for Semi-Supervised Learning [0]
    Xie, Qianqian, Huang, Jimin, Peng, Min, Zhang, Yihan, Peng, Kaifei & Wang, Hua, 2019 International Conference on Data Mining Workshops (ICDMW), p. 76

2018

  1. Prediction of Solar Eruptions Using Filament Metadata [21]
    Aggarwal, Ashna, Schanche, Nicole, Reeves, Katharine K., Kempton, Dustin & Angryk, Rafal, ApJS, 236, 15
  2. Heuristics Significance of Neuro-Ensemble-based Time Series Classification [0]
    Boubrahimi, Soukaina Filali & Angryk, Rafal, 2018 IEEE International Conference on Big Data (Big Data), p. 11
  3. 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
  4. 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
  5. Neuro-Ensemble for Time Series Data Classification [0]
    Filali Boubrahimi, Soukaina, Ma, Ruizhe & Angryk, Rafal, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), p. 15
  6. Multivariate Time Series Nearest Neighbor Search: A Case Study on Solar Flare Prediction [0]
    Filali Boubrahimi, Soukaina & Angryk, Rafal, 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), p. 35
  7. 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
  8. 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
  9. Tracking Solar Phenomena from the SDO [4]
    Kempton, Dustin J., Schuh, Michael A. & Angryk, Rafal A., ApJ, 869, 54
  10. Segmentation of Time Series in Improving Dynamic Time Warping [0]
    Ma, Ruizhe, Ahmadzadeh, Azim, Boubrahimi, Soukaina Filali & Angryk, Rafal A., 2018 IEEE International Conference on Big Data (Big Data), p. 484
  11. Coronal Mass Ejection Data Clustering and Visualization of Decision Trees [7]
    Ma, Ruizhe, Angryk, Rafal A., Riley, Pete & Filali Boubrahimi, Soukaina, ApJS, 236, 14
  12. Data Handling and Assimilation for Solar Event Prediction [9]
    Martens, Petrus C. & Angryk, Rafal A., Space Weather of the Heliosphere: Processes and Forecasts (Editors: Foullon, Claire & Malandraki, Olga E.), IAU Symposium, 335, p. 344

2017

  1. Improving the functionality of tamura directionality on solar images [0]
    Ahmadzadeh, Azim, Kempton, Dustin J., Schuh, Michael A. & Angryk, Rafal A., 2017 IEEE International Conference on Big Data (Big Data), p. 317
  2. Top-(R%, K) Spatiotemporal Event Sequence Mining [1]
    Aydin, Berkay, Kucuk, Ahmet, Boubrahimi, Soukaina Filali & Angryk, Rafal A., 2017 International Conference on Data Management, Analytics and Innovation (ICDMAI), p. 42
  3. Measuring the Significance of Spatiotemporal Co-Occurrences [1]
    Aydin, Berkay, Kucuk, Ahmet, Angryk, Rafal A. & Martens, Petrus C., ACM Transactions on Spatial Algorithms and Systems, 3, 1
  4. 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
  5. On the prediction of >100 MeV solar energetic particle events using GOES satellite data [2]
    Boubrahimi, Soukaina Filali, Aydin, Berkay, Martens, Petrus & Angryk, Rafal, 2017 IEEE International Conference on Big Data (Big Data), p. 319
  6. A time series classification-based approach for solar flare prediction [0]
    Hamdi, Shah Muhammad, Kempton, Dustin, Ma, Ruizhe, Boubrahimi, Soukaina Filali & Angryk, Rafal A., 2017 IEEE International Conference on Big Data (Big Data), p. 320
  7. 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
  8. A large-scale solar dynamics observatory image dataset for computer vision applications [11]
    Kucuk, Ahmet, Banda, Juan M. & Angryk, Rafal A., Nature Scientific Data, Nature Scientific Data, 4, p. 170096
  9. Solar flare prediction using multivariate time series decision trees [0]
    Ma, Ruizhe, Boubrahimi, Soukaina Filali, Hamdi, Shah Muhammad & Angryk, Rafal A., 2017 IEEE International Conference on Big Data (Big Data), p. 323
  10. Distance and Density Clustering for Time Series Data [0]
    Ma, Ruizhe & Angryk, Rafal, 2017 International Conference on Data Management, Analytics and Innovation (ICDMAI), p. 12
  11. Cultivating Evolving Region Trajectory Datasets [0]
    Naduvil-Vadukootu, Sajitha, Aydin, Berkay, Schuh, Michael A. & Angryk, Rafal A., 2017 International Conference on Data Management, Analytics and Innovation (ICDMAI), p. 45

2016

  1. Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets [1]
    Akkineni, Vijay, Aydin, Berkay, Naduvil-Vadukootu, Sajitha & Angryk, Rafal, 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
  2. The SMART approach to comprehensive quality assessment of site-based spatial-temporal data [0]
    Angryk, Rafal A. & Galarus, Douglas E., 2016 IEEE International Conference on Big Data (Big Data), p. 333
  3. 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
  4. Discovering spatiotemporal event sequences [1]
    Aydin, Berkay & Angryk, Rafal, Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, p. 46
  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. Mining spatiotemporal co-occurrence patterns in non-relational databases [5]
    Aydin, Berkay, Akkineni, Vijay & Angryk, Rafal, GeoInformatica, 20, 801
  8. 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), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom), p. 26
  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. 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
  11. 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
  12. Describing solar images with sparse coding for similarity search [0]
    Kempton, Dustin J., Schuh, Michael A. & Angryk, Rafal A., 2016 IEEE International Conference on Big Data (Big Data), p. 399
  13. Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories [1]
    Kucuk, Ahmet, Hamdi, Shah Muhammad, Aydin, Berkay, Schuh, Michael A. & Angryk, Rafal A., 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
  14. A data-driven analysis of interplanetary coronal mass ejecta and magnetic flux ropes [0]
    Ma, Ruizhe, Angryk, Rafal & Riley, Pete, 2016 IEEE International Conference on Big Data (Big Data), p. 400
  15. 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
  16. On the theory and practice of high-dimensional data indexing with iDistance [0]
    Schuh, Michael A. & Angryk, Rafal A., 2016 IEEE International Conference on Big Data (Big Data), p. 450
  17. A large-scale dataset of solar event reports from automated feature recognition modules [5]
    Schuh, Michael A., Angryk, Rafal A. & Martens, Petrus C., Journal of Space Weather and Space Climate, 6, A22

2015

  1. Special Section: Management, Search and Analysis of Solar Astronomy Big Data [0]
    Angryk, Rafal A., Csillaghy, André & Martens, Petrus C., Astronomy and Computing, 13, 85
  2. 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
  3. Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions [1]
    Aydin, Berkay & Angryk, Rafal, 2015 IEEE International Conference on Data Mining Workshop (ICDMW), p. 84
  4. 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
  5. Regional content-based image retrieval for solar images: Traditional versus modern methods [1]
    Banda, J. M. & Angryk, R. A., Astronomy and Computing, 13, 108
  6. Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images [0]
    Banda, Juan M. & Angryk, Rafal A., 2015 IEEE International Conference on Data Mining Workshop (ICDMW), p. 85
  7. Tracking Solar Events through Iterative Refinement [9]
    Kempton, D. J. & Angryk, R. A., Astronomy and Computing, 13, 124
  8. Solar image parameter data from the SDO: Long-term curation and data mining [4]
    Schuh, M. A., Angryk, R. A. & Martens, P. C., Astronomy and Computing, 13, 86
  9. On visualization techniques for solar data mining [5]
    Schuh, M. A., Banda, J. M., Wylie, T., McInerney, P., Pillai, K. Ganesan & Angryk, R. A., Astronomy and Computing, 10, 32

2014

  1. Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns [2]
    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
  2. Image retrieval on compressed images: Can we tell the difference? [0]
    Banda, Juan M., Angryk, Rafal A., Schuh, Michael A. & Martens, Petrus C., 2014 4th International Conference on Image Processing Theory, p. 58
  3. Scalable solar image Retrieval with Lucene [0]
    Banda, Juan M. & Angryk, Rafal A., 2014 IEEE International Conference on Big Data (Big Data), p. 202
  4. Iterative refinement of multiple targets tracking of solar events [1]
    Kempton, Dustin, Pillai, Karthik Ganesan & Angryk, Rafal, 2014 IEEE International Conference on Big Data (Big Data), p. 205
  5. A Comparative Evaluation of Automated Solar Filament Detection [13]
    Schuh, M. A., Banda, J. M., Bernasconi, P. N., Angryk, R. A. & Martens, P. C. H., Solar Physics, 289, 2503
  6. Massive labeled solar image data benchmarks for automated feature recognition [0]
    Schuh, Michael A. & Angryk, Rafal A., 2014 IEEE International Conference on Big Data (Big Data), p. 207

2013

  1. Steps Toward a Large-Scale Solar Image Data Analysis to Differentiate Solar Phenomena [7]
    Banda, J. M., Angryk, R. A. & Martens, P. C. H., Solar Physics, 288, 435
  2. On Dimensionality Reduction for Indexing and Retrieval of Large-Scale Solar Image Data [4]
    Banda, J. M., Angryk, R. A. & Martens, P. C. H., Solar Physics, 283, 113
  3. Region-Based Querying of Solar Data Using Descriptor Signatures [0]
    Banda, Juan M., Liu, Chang & Angryk, Rafal A., 2013 IEEE 13th International Conference on Data Mining Workshops, p. 26
  4. On Using SIFT Descriptors for Image Parameter Evaluation [0]
    McInerney, Patrick M., Banda, Juan M. & Angryk, Rafal A., 2013 IEEE 13th International Conference on Data Mining Workshops, p. 30
  5. 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
  6. An IEEE Standards-Based Visualization Tool for Knowledge Discovery in Maintenance Event Sequences [0]
    Schuh, Michael, Sheppard, John, Strasser, Shane, Angryk, Rafal & Izurieta, Clemente, IEEE Aerospace and Electronic Systems Magazine, 28, 30
  7. A large-scale solar image dataset with labeled event regions [0]
    Schuh, Michael A., Angryk, Rafal A., Pillai, Karthik Ganesan, Banda, Juan M. & Martens, Petrus C., 2013 IEEE International Conference on Image Processing, p. 903

2012

  1. Computer Vision for the Solar Dynamics Observatory (SDO) [96]
    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., Solar Physics, 275, 79
  2. Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions [1]
    Pillai, Karthik Ganesan, Angryk, Rafal A., Banda, Juan M., Schuh, Michael A. & Wylie, Tim, 2012 IEEE 12th International Conference on Data Mining Workshops, p. 133

2011

  1. On the surprisingly accurate transfer of image parameters between medical and solar images [0]
    Banda, Juan M., Angryk, Rafal A. & Martens, Petrus C., 2011 18th IEEE International Conference on Image Processing, p. 923
  2. Ontology-guided knowledge discovery of event sequences in maintenance data [0]
    Schuh, Michael, Sheppard, John, Strasser, Shane, Angryk, Rafal & Izurieta, Clemente, 2011 IEEE AUTOTESTCON, p. 48
  3. Graph-based ontology-guided data mining for D-matrix model maturation [1]
    Strasser, Shane, Sheppard, John, Schuh, Michael, Angryk, Rafal & Izurieta, Clemente, 2011 Aerospace Conference, p. 366

2010

  1. Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory [0]
    Banda, Juan M. & Angryk, Rafal A., 2010 International Conference on Digital Image Computing: Techniques and Applications, p. 96
  2. Using Taxonomies to Perform Aggregated Querying over Imprecise Data [0]
    Roy, Atanu, Sarkar, Chandrima & Angryk, Rafal A., 2010 International Conference on Digital Manufacturing & Automation, p. 149

2009

  1. On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images [0]
    Banda, Juan M. & Angryk, Rafal A., 2009 IEEE International Conference on Fuzzy Systems, p. 357
  2. An Abstraction-Based Data Model for Information Retrieval [0]
    McAllister, Richard A. & Angryk, Rafal A., Lecture Notes in Computer Science, p.567

2007

  1. Distributed Document Clustering Using Word-clusters [0]
    Deb, Debzani & Angryk, Rafal A., 2007 IEEE Symposium on Computational Intelligence and Data Mining, p. 59
  2. Sense based organization of descriptive data [0]
    Hossain, M. Shahriar, Akbar, Monika & Angryk, Rafal A., 2007 IEEE International Conference on Systems, p. 523
  3. Heuristic Algorithm for Interpretation of Non-Atomic Categorical Attributes in Similarity-based Fuzzy Databases Scalability Evaluation [0]
    Hossain, M. Shahriar & Angryk, Rafal A., NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society, p. 49
  4. GDClust: A Graph-Based Document Clustering Technique [1]
    Hossain, M. Shahriar & Angryk, Rafal A., Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007), p. 71
  5. Measuring semantic similarity using wordnet-based context vectors [0]
    Shen Wan & Angryk, Rafal A., 2007 IEEE International Conference on Systems, p. 24

2006

  1. Similarity-driven Defuzzification of Fuzzy Tuples for Entropy-based Data Classification Purposes [0]
    Angryk, R. A., 2006 IEEE International Conference on Fuzzy Systems, p. 61

2004

  1. Information filtering via fuzzy hierarchical induction [0]
    Barbu, C., Angryk, R. A., Petry, F. E. & Simina, M., 2004 IEEE International Conference on Systems, 4, p. 95

Created on Wed Apr 22 04:27:18 2026.