Publications

The list below includes a representative selection of 200+ peer-reviewed research works spanning a scholarly monograph, journal articles, book chapters, and refereed conference & workshop papers. For a complete publication record, please refer to Google Scholar, DBLP, or ORCID.

Scholarly Monograph (1)

Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

Published in Springer, 2018 | Download Paper

Cite as: B. Aydin and R.A. Angryk, "Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories," Springer, October 2018, ISBN 978-3-319-99872-5, 106 p., DOI: 10.1007/978-3-319-99873-2.

BibTeX

@book{Angryk2018,
  author    = {B. Aydin and R.A. Angryk},
  title     = {Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories},
  publisher = {Springer},
  year      = {2018},
  url       = {https://doi.org/10.1007/978-3-319-99873-2}
}

Journal Articles & Book Chapters (55)

Outlier Detection and Removal in Multivariate Time Series for a More Robust Machine Learning-Based Solar Flare Prediction

Published in The Astrophysical Journal Supplement Series, 2025 | Download Paper

Cite as: J. Wen, A. Ahmadzadeh, M.K. Georgoulis, V.M. Sadykov, R.A. Angryk, "Outlier Detection and Removal in Multivariate Time Series for a More Robust Machine Learning-Based Solar Flare Prediction," The Astrophysical Journal Supplement Series, Vol. 277(2), 2025, IOP Publishing, pp. 1-16.

BibTeX

@article{Angryk2025,
  author    = {J. Wen, A. Ahmadzadeh, M.K. Georgoulis, V.M. Sadykov, R.A. Angryk},
  title     = {Outlier Detection and Removal in Multivariate Time Series for a More Robust Machine Learning-Based Solar Flare Prediction},
  journal = {The Astrophysical Journal Supplement Series},
  year      = {2025},
  url       = {https://doi.org/10.3847/1538-4365/adb9e3}
}

Prediction of solar energetic events impacting space weather conditions

Published in Advances in Space Research, 2024 | Download Paper

Cite as: M. Georgoulis et al., "Prediction of solar energetic events impacting space weather conditions," Advances in Space Research, Elsevier, 2024, pp. 1-57.

BibTeX

@article{Angryk2024,
  author    = {M. Georgoulis et al.},
  title     = {Prediction of solar energetic events impacting space weather conditions},
  journal = {Advances in Space Research},
  year      = {2024},
  url       = {https://doi.org/10.1016/j.asr.2024.02.030}
}

A Systematic Magnetic Polarity Inversion Line Dataset from SDO/HMI Magnetograms

Published in The Astrophysical Journal Supplement Series, 2023 | Download Paper

Cite as: A. Ji, X. Cai, N. Khasayeva, M.K. Georgoulis, P.C. Martens, R.A. Angryk, B. Aydin, "A Systematic Magnetic Polarity Inversion Line Dataset from SDO/HMI Magnetograms," The Astrophysical Journal Supplement Series, Vol. 265(1), 2023, IOP Publishing, pp. 1-16.

BibTeX

@article{Angryk2023,
  author    = {A. Ji, X. Cai, N. Khasayeva, M.K. Georgoulis, P.C. Martens, R.A. Angryk, B. Aydin},
  title     = {A Systematic Magnetic Polarity Inversion Line Dataset from SDO/HMI Magnetograms},
  journal = {The Astrophysical Journal Supplement Series},
  year      = {2023},
  url       = {https://doi.org/10.3847/1538-4365/acb43a}
}

Contingency Space: A Semimetric Space for Classification Evaluation

Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | Download Paper

Cite as: A. Ahmadzadeh, D.J. Kempton, P.C. Martens, R.A. Angryk, "Contingency Space: A Semimetric Space for Classification Evaluation," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 45(2), 2023, IEEE, pp. 1501-1513.

BibTeX

@article{Angryk2023,
  author    = {A. Ahmadzadeh, D.J. Kempton, P.C. Martens, R.A. Angryk},
  title     = {Contingency Space: A Semimetric Space for Classification Evaluation},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year      = {2023},
  url       = {https://doi.org/10.1109/TPAMI.2022.3167007}
}

Review of solar energetic particle models

Published in Advances in Space Research, 2022 | Download Paper

Cite as: K. Whitman et al., "Review of solar energetic particle models," Advances in Space Research, Elsevier, 2022, pp. 1-82.

BibTeX

@article{Angryk2022,
  author    = {K. Whitman et al.},
  title     = {Review of solar energetic particle models},
  journal = {Advances in Space Research},
  year      = {2022},
  url       = {https://doi.org/10.1016/j.asr.2022.08.006}
}

Towards coupling full-disk and active region-based flare prediction for operational space weather forecasting

Published in Frontiers in Astronomy and Space Sciences, 2022 | Download Paper

Cite as: C. Pandey, A. Ji, R.A. Angryk, M.K. Georgoulis, B. Aydin, "Towards coupling full-disk and active region-based flare prediction for operational space weather forecasting," Frontiers in Astronomy and Space Sciences, Vol. 9, 2022, pp. 1-13.

BibTeX

@article{Angryk2022,
  author    = {C. Pandey, A. Ji, R.A. Angryk, M.K. Georgoulis, B. Aydin},
  title     = {Towards coupling full-disk and active region-based flare prediction for operational space weather forecasting},
  journal = {Frontiers in Astronomy and Space Sciences},
  year      = {2022},
  url       = {https://doi.org/10.3389/fspas.2022.897301}
}

CGAN-based Synthetic Multivariate Time Series Generation: A Solution to Data Scarcity in Solar Flare Forecasting

Published in Neural Computing and Applications, 2022 | Download Paper

Cite as: Y. Chen, D.J. Kempton, A. Ahmadzadeh, J. Wen, R.A. Angryk, "CGAN-based Synthetic Multivariate Time Series Generation: A Solution to Data Scarcity in Solar Flare Forecasting," Neural Computing and Applications, Vol. 34, Springer, 2022, pp. 13339-13353.

BibTeX

@article{Angryk2022,
  author    = {Y. Chen, D.J. Kempton, A. Ahmadzadeh, J. Wen, R.A. Angryk},
  title     = {CGAN-based Synthetic Multivariate Time Series Generation: A Solution to Data Scarcity in Solar Flare Forecasting},
  journal = {Neural Computing and Applications},
  year      = {2022},
  url       = {https://doi.org/10.1007/s00521-022-07361-8}
}

Spatiotemporal event sequence discovery without thresholds

Published in GeoInformatica, 2021 | Download Paper

Cite as: B. Aydin, S. Filali Boubrahimi, A. Kucuk, B. Nezamdoust, R.A. Angryk, "Spatiotemporal event sequence discovery without thresholds," GeoInformatica, Vol. 25(1), Springer, 2021, pp. 149-177.

BibTeX

@article{Angryk2021,
  author    = {B. Aydin, S. Filali Boubrahimi, A. Kucuk, B. Nezamdoust, R.A. Angryk},
  title     = {Spatiotemporal event sequence discovery without thresholds},
  journal = {GeoInformatica},
  year      = {2021},
  url       = {https://doi.org/10.1007/s10707-020-00427-6}
}

How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events

Published in The Astrophysical Journal Supplement Series, 2021 | Download Paper

Cite as: A. Ahmadzadeh, B. Aydin, M.K. Georgoulis, D.J. Kempton, S.S. Mahajan, R.A. Angryk, "How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events," The Astrophysical Journal Supplement Series, Vol. 254(2), 2021, IOP Publishing, pp. 1-23.

BibTeX

@article{Angryk2021,
  author    = {A. Ahmadzadeh, B. Aydin, M.K. Georgoulis, D.J. Kempton, S.S. Mahajan, R.A. Angryk},
  title     = {How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events},
  journal = {The Astrophysical Journal Supplement Series},
  year      = {2021},
  url       = {https://iopscience.iop.org/article/10.3847/1538-4365/abec88}
}

Multivariate Time Series Dataset for Space Weather Data Analytics

Published in Scientific Data, 2020 | Download Paper

Cite as: R. Angryk et al., "Multivariate Time Series Dataset for Space Weather Data Analytics," Scientific Data, Vol. 7(227), Springer Nature, 2020, pp. 1-13.

BibTeX

@article{Angryk2020,
  author    = {R. Angryk et al.},
  title     = {Multivariate Time Series Dataset for Space Weather Data Analytics},
  journal = {Scientific Data},
  year      = {2020},
  url       = {https://doi.org/10.1038/s41597-020-0548-x}
}

MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data

Published in SoftwareX, 2020 | Download Paper

Cite as: A. Ahmadzadeh, K. Sinha, B. Aydin, R. Angryk, "MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data," SoftwareX, Vol. 12, Elsevier, 2020, pp. 1-6.

BibTeX

@article{Angryk2020,
  author    = {A. Ahmadzadeh, K. Sinha, B. Aydin, R. Angryk},
  title     = {MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data},
  journal = {SoftwareX},
  year      = {2020},
  url       = {https://doi.org/10.1016/j.softx.2020.100518}
}

Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic

Published in Journal of Artificial Intelligence and Soft Computing Research, 2020 | Download Paper

Cite as: M. Korytkowski, R. Senkerik, M.M. Scherer, R.A. Angryk, M. Kordos, A. Siwocha, "Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic," Journal of Artificial Intelligence and Soft Computing Research, Vol. 10(1), 2020, pp. 57-69.

BibTeX

@article{Angryk2020,
  author    = {M. Korytkowski, R. Senkerik, M.M. Scherer, R.A. Angryk, M. Kordos, A. Siwocha},
  title     = {Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic},
  journal = {Journal of Artificial Intelligence and Soft Computing Research},
  year      = {2020},
  url       = {https://doi.org/10.2478/jaiscr-2020-0005}
}

Segmented Dynamic Time Warping: A Comparative and Applicational Study

Published in Emerging Technologies and Applications in Data Processing and Management, IGI Global, 2019 | Download Paper

Cite as: R. Ma, A. Ahmadzadeh, S. Filali Boubrahimi, R.A. Angryk, "Segmented Dynamic Time Warping: A Comparative and Applicational Study," in Zongmin Ma & Li Yan (Eds.), Emerging Technologies and Applications in Data Processing and Management, IGI Global, 2019, pp. 1-19.

BibTeX

@article{Angryk2019,
  author    = {R. Ma, A. Ahmadzadeh, S. Filali Boubrahimi, R.A. Angryk},
  title     = {Segmented Dynamic Time Warping: A Comparative and Applicational Study},
  journal = {Emerging Technologies and Applications in Data Processing and Management, IGI Global},
  year      = {2019},
  url       = {https://www.igi-global.com/book/emerging-technologies-applications-data-processing/218130}
}

Identification of Discriminative Subnetwork from fMRI-based Complete Functional Connectivity Networks

Published in International Journal of Semantic Computing, 2019 | Download Paper

Cite as: S.M. Hamdi, Y. Wu, R. Angryk, L.C. Krishnamurthy, R. Morris, "Identification of Discriminative Subnetwork from fMRI-based Complete Functional Connectivity Networks," International Journal of Semantic Computing, Vol. 13(1), 2019, World Scientific, pp. 25-44.

BibTeX

@article{Angryk2019,
  author    = {S.M. Hamdi, Y. Wu, R. Angryk, L.C. Krishnamurthy, R. Morris},
  title     = {Identification of Discriminative Subnetwork from fMRI-based Complete Functional Connectivity Networks},
  journal = {International Journal of Semantic Computing},
  year      = {2019},
  url       = {https://doi.org/10.1142/S1793351X19400026}
}

A Curated Image Parameter Data Set from the Solar Dynamics Observatory Mission

Published in The Astrophysical Journal Supplement Series, 2019 | Download Paper

Cite as: A. Ahmadzadeh, D.J. Kempton, R.A. Angryk, "A Curated Image Parameter Data Set from the Solar Dynamics Observatory Mission," The Astrophysical Journal Supplement Series, Vol. 243(1), 2019, IOP Publishing, pp. 1-23.

BibTeX

@article{Angryk2019,
  author    = {A. Ahmadzadeh, D.J. Kempton, R.A. Angryk},
  title     = {A Curated Image Parameter Data Set from the Solar Dynamics Observatory Mission},
  journal = {The Astrophysical Journal Supplement Series},
  year      = {2019},
  url       = {https://iopscience.iop.org/article/10.3847/1538-4365/ab253a}
}

Tracking Solar Phenomena from the SDO

Published in The Astrophysical Journal, 2018 | Download Paper

Cite as: D.J. Kempton, M.A. Schuh, R.A. Angryk, "Tracking Solar Phenomena from the SDO," The Astrophysical Journal, Vol. 869(1), 2018, IOP Publishing, pp. 1-54.

BibTeX

@article{Angryk2018,
  author    = {D.J. Kempton, M.A. Schuh, R.A. Angryk},
  title     = {Tracking Solar Phenomena from the SDO},
  journal = {The Astrophysical Journal},
  year      = {2018},
  url       = {https://iopscience.iop.org/article/10.3847/1538-4357/aae9e9/}
}

Spatiotemporal Interpolation Methods for Solar Event Trajectories

Published in The Astrophysical Journal Supplement Series, 2018 | Download Paper

Cite as: S. Filali Boubrahimi, B. Aydin, M.A. Schuh, D. Kempton, R.A. Angryk, R. Ma, "Spatiotemporal Interpolation Methods for Solar Event Trajectories," The Astrophysical Journal Supplement Series, Vol. 236(1), 2018, IOP Publishing, pp. 1-23.

BibTeX

@article{Angryk2018,
  author    = {S. Filali Boubrahimi, B. Aydin, M.A. Schuh, D. Kempton, R.A. Angryk, R. Ma},
  title     = {Spatiotemporal Interpolation Methods for Solar Event Trajectories},
  journal = {The Astrophysical Journal Supplement Series},
  year      = {2018},
  url       = {http://stacks.iop.org/0067-0049/236/i=1/a=23}
}

Beyond Accuracy - A SMART Approach to Site-Based Spatio-Temporal Data Quality Assessment

Published in International Journal of Intelligent Data Analysis, 2018 | Download Paper

Cite as: D. Galarus, R. Angryk, "Beyond Accuracy - A SMART Approach to Site-Based Spatio-Temporal Data Quality Assessment," International Journal of Intelligent Data Analysis, Vol. 22(1), IOS Press, 2018, pp. 21-43.

BibTeX

@article{Angryk2018,
  author    = {D. Galarus, R. Angryk},
  title     = {Beyond Accuracy - A SMART Approach to Site-Based Spatio-Temporal Data Quality Assessment},
  journal = {International Journal of Intelligent Data Analysis},
  year      = {2018},
  url       = {https://content.iospress.com/articles/intelligent-data-analysis/ida163311}
}

Prediction of Solar Eruptions using Filament Metadata

Published in The Astrophysical Journal Supplement Series, 2018 | Download Paper

Cite as: A. Aggarwal, N. Schanche, K.K. Reeves, D. Kempton, R. Angryk, "Prediction of Solar Eruptions using Filament Metadata," The Astrophysical Journal Supplement Series, Vol. 236(1), 2018, IOP Publishing, pp. 1-15.

BibTeX

@article{Angryk2018,
  author    = {A. Aggarwal, N. Schanche, K.K. Reeves, D. Kempton, R. Angryk},
  title     = {Prediction of Solar Eruptions using Filament Metadata},
  journal = {The Astrophysical Journal Supplement Series},
  year      = {2018},
  url       = {http://stacks.iop.org/0067-0049/236/i=1/a=15}
}

Coronal Mass Ejection Data Clustering and Visualization of Decision Trees

Published in The Astrophysical Journal Supplement Series, 2018 | Download Paper

Cite as: R. Ma, R.A. Angryk, P. Riley, S. Filali Boubrahimi, "Coronal Mass Ejection Data Clustering and Visualization of Decision Trees," The Astrophysical Journal Supplement Series, Vol. 236(1), 2018, IOP Publishing, pp. 1-14.

BibTeX

@article{Angryk2018,
  author    = {R. Ma, R.A. Angryk, P. Riley, S. Filali Boubrahimi},
  title     = {Coronal Mass Ejection Data Clustering and Visualization of Decision Trees},
  journal = {The Astrophysical Journal Supplement Series},
  year      = {2018},
  url       = {http://stacks.iop.org/0067-0049/236/i=1/a=14}
}

A large-scale solar dynamics observatory image dataset for computer vision applications

Published in Scientific Data, 2017 | Download Paper

Cite as: A. Kucuk, J.M. Banda, R.A. Angryk, "A large-scale solar dynamics observatory image dataset for computer vision applications," Scientific Data, Vol. 4, Springer Nature, 2017, pp. 1-9. DOI: 10.1038/sdata.2017.96.

BibTeX

@article{Angryk2017,
  author    = {A. Kucuk, J.M. Banda, R.A. Angryk},
  title     = {A large-scale solar dynamics observatory image dataset for computer vision applications},
  journal = {Scientific Data},
  year      = {2017},
  url       = {https://www.nature.com/articles/sdata201796}
}

Measuring the Significance of Spatiotemporal Co-occurrences

Published in ACM Transactions on Spatial Algorithms and Systems, 2017 | Download Paper

Cite as: B. Aydin, A. Kucuk, R.A. Angryk, P. Martens, "Measuring the Significance of Spatiotemporal Co-occurrences," ACM Transactions on Spatial Algorithms and Systems, Vol. 3(3), 2017, ACM, pp. 9:1-9:35.

BibTeX

@article{Angryk2017,
  author    = {B. Aydin, A. Kucuk, R.A. Angryk, P. Martens},
  title     = {Measuring the Significance of Spatiotemporal Co-occurrences},
  journal = {ACM Transactions on Spatial Algorithms and Systems},
  year      = {2017},
  url       = {http://doi.acm.org/10.1145/3139351}
}

Enabling high-dimensional range queries using kNN indexing techniques: approaches and empirical results

Published in Journal of Combinatorial Optimization, 2016 | Download Paper

Cite as: T. Wylie, M.A. Schuh, R.A. Angryk, "Enabling high-dimensional range queries using kNN indexing techniques: approaches and empirical results," Journal of Combinatorial Optimization, Vol. 32(4), Springer, 2016, pp. 1107-1132.

BibTeX

@article{Angryk2016,
  author    = {T. Wylie, M.A. Schuh, R.A. Angryk},
  title     = {Enabling high-dimensional range queries using kNN indexing techniques: approaches and empirical results},
  journal = {Journal of Combinatorial Optimization},
  year      = {2016},
  url       = {http://dx.doi.org/10.1007/s10878-015-9927-1}
}

Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Data Sets with Extended Spatial Representations

Published in ACM Transactions on Spatial Algorithms and Systems, 2016 | Download Paper

Cite as: K. Ganesan Pillai, R.A. Angryk, J.M. Banda, D. Kempton, B. Aydin, P. Martens, "Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Data Sets with Extended Spatial Representations," ACM Transactions on Spatial Algorithms and Systems, Vol. 2(3), 2016, ACM, pp. 1-27.

BibTeX

@article{Angryk2016,
  author    = {K. Ganesan Pillai, R.A. Angryk, J.M. Banda, D. Kempton, B. Aydin, P. Martens},
  title     = {Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Data Sets with Extended Spatial Representations},
  journal = {ACM Transactions on Spatial Algorithms and Systems},
  year      = {2016},
  url       = {http://dx.doi.org/10.1145/2936775}
}

Modeling and Indexing Spatiotemporal Trajectory Data in Non-Relational Databases

Published in Managing Big Data in Cloud Computing Environments, IGI Global, 2016 | Download Paper

Cite as: B. Aydin, V. Akkineni, R. Angryk, "Modeling and Indexing Spatiotemporal Trajectory Data in Non-Relational Databases," in Zongmin Ma (Ed.), Managing Big Data in Cloud Computing Environments, IGI Global, 2016, pp. 133-162.

BibTeX

@article{Angryk2016,
  author    = {B. Aydin, V. Akkineni, R. Angryk},
  title     = {Modeling and Indexing Spatiotemporal Trajectory Data in Non-Relational Databases},
  journal = {Managing Big Data in Cloud Computing Environments, IGI Global},
  year      = {2016},
  url       = {https://doi.org/10.4018/978-1-4666-9834-5.ch006}
}

Mining Spatiotemporal Co-occurrence Patterns in Non-Relational Databases

Published in GeoInformatica, 2016 | Download Paper

Cite as: B. Aydin, V. Akkineni, R. Angryk, "Mining Spatiotemporal Co-occurrence Patterns in Non-Relational Databases," GeoInformatica, Vol. 20(4), Springer, 2016, pp. 801-828.

BibTeX

@article{Angryk2016,
  author    = {B. Aydin, V. Akkineni, R. Angryk},
  title     = {Mining Spatiotemporal Co-occurrence Patterns in Non-Relational Databases},
  journal = {GeoInformatica},
  year      = {2016},
  url       = {http://link.springer.com/article/10.1007/s10707-016-0255-0}
}

Spatio-Temporal Quality Control: Implications and Applications for Data Consumers and Aggregators

Published in Open Geospatial Data, Software and Standards, 2016 | Download Paper

Cite as: D. Galarus, R. Angryk, "Spatio-Temporal Quality Control: Implications and Applications for Data Consumers and Aggregators," Open Geospatial Data, Software and Standards, Vol. 1(2), Springer, 2016, pp. 1-23.

BibTeX

@article{Angryk2016,
  author    = {D. Galarus, R. Angryk},
  title     = {Spatio-Temporal Quality Control: Implications and Applications for Data Consumers and Aggregators},
  journal = {Open Geospatial Data, Software and Standards},
  year      = {2016},
  url       = {http://dx.doi.org/10.1186/s40965-016-0003-2}
}

SPARQL Queries on RDF with Fuzzy Constraints and Preferences

Published in Journal of Intelligent and Fuzzy Systems, 2016 | Download Paper

Cite as: R. Ma, X. Jia, J. Cheng, R.A. Angryk, "SPARQL Queries on RDF with Fuzzy Constraints and Preferences," Journal of Intelligent and Fuzzy Systems, Vol. 30(1), IOS Press, 2016, pp. 183-195.

BibTeX

@article{Angryk2016,
  author    = {R. Ma, X. Jia, J. Cheng, R.A. Angryk},
  title     = {SPARQL Queries on RDF with Fuzzy Constraints and Preferences},
  journal = {Journal of Intelligent and Fuzzy Systems},
  year      = {2016},
  url       = {http://dx.doi.org/10.3233/IFS-151745}
}

Large-scale Dataset of Solar Event Reports from Automated Feature Recognition Modules

Published in Journal of Space Weather and Space Climate, 2016 | Download Paper

Cite as: M.A. Schuh, R.A. Angryk, P.C. Martens, "Large-scale Dataset of Solar Event Reports from Automated Feature Recognition Modules," Journal of Space Weather and Space Climate, Vol. 6(A22), EDP Sciences, 2016, pp. 1-18.

BibTeX

@article{Angryk2016,
  author    = {M.A. Schuh, R.A. Angryk, P.C. Martens},
  title     = {Large-scale Dataset of Solar Event Reports from Automated Feature Recognition Modules},
  journal = {Journal of Space Weather and Space Climate},
  year      = {2016},
  url       = {http://dx.doi.org/10.1051/swsc/2016015}
}