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Portfolio item number 1

Portfolio item number 2

Fuzzy Spatial Relationships and Mobile Agent Technology in Geospatial Information Systems

Published in Applying Soft Computing in Defining Spatial Relations, Physica-Verlag, 2002

Cite as: F. Petry, M. Cobb, D. Ali, R. Angryk et al., "Fuzzy Spatial Relationships and Mobile Agent Technology in Geospatial Information Systems," in P. Matsakis & L.M. Sztandera (Eds.), Applying Soft Computing in Defining Spatial Relations, Physica-Verlag, 2002, pp. 123-155.

@article{Angryk2002,
  author    = {F. Petry, M. Cobb, D. Ali, R. Angryk et al.},
  title     = {Fuzzy Spatial Relationships and Mobile Agent Technology in Geospatial Information Systems},
  journal = {Applying Soft Computing in Defining Spatial Relations, Physica-Verlag},
  year      = {2002}
}

Data Mining Fuzzy Databases Using Attribute-Oriented Generalization

Published in Proc. 3rd IEEE Int. Conf. on Data Mining (IEEE ICDM 2003), Workshop on Foundations and New Directions in Data Mining, 2003

Cite as: R. Angryk, F. Petry, "Data Mining Fuzzy Databases Using Attribute-Oriented Generalization," Proc. IEEE ICDM 2003 Workshop, Melbourne, FL, November 2003, pp. 8-15.

@inproceedings{Angryk2003,
  author    = {R. Angryk, F. Petry},
  title     = {Data Mining Fuzzy Databases Using Attribute-Oriented Generalization},
  booktitle = {Proc. 3rd IEEE Int. Conf. on Data Mining (IEEE ICDM 2003), Workshop on Foundations and New Directions in Data Mining},
  year      = {2003}
}

Generalization Data Mining of Fuzzy Object-Oriented Databases

Published in Advances in Fuzzy Object-Oriented Databases: Modeling and Applications, Idea Group Publishing, 2004

Cite as: R. Angryk, R. Ladner, F. Petry, "Generalization Data Mining of Fuzzy Object-Oriented Databases," in Zongmin Ma (Ed.), Advances in Fuzzy Object-Oriented Databases, Idea Group Publishing, 2004, pp. 85-112.

@article{Angryk2004,
  author    = {R. Angryk, R. Ladner, F. Petry},
  title     = {Generalization Data Mining of Fuzzy Object-Oriented Databases},
  journal = {Advances in Fuzzy Object-Oriented Databases: Modeling and Applications, Idea Group Publishing},
  year      = {2004}
}

Fuzzy Induction in Dynamic User Profiling for Information Filtering

Published in Proc. 19th National Conf. on Artificial Intelligence (AAAI 2004), 2004

Cite as: R. Angryk, C. Barbu, "Fuzzy Induction in Dynamic User Profiling for Information Filtering," Proc. AAAI 2004, San Jose, CA, July 2004, pp. 946-947.

@inproceedings{Angryk2004,
  author    = {R. Angryk, C. Barbu},
  title     = {Fuzzy Induction in Dynamic User Profiling for Information Filtering},
  booktitle = {Proc. 19th National Conf. on Artificial Intelligence (AAAI 2004)},
  year      = {2004}
}

Mining Multi-Level Associations with Fuzzy Hierarchies

Published in Proc. 14th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 2005), 2005

Cite as: R. Angryk, F. Petry, "Mining Multi-Level Associations with Fuzzy Hierarchies," Proc. FUZZ-IEEE 2005, Reno, NV, May 2005, pp. 785-790.

@inproceedings{Angryk2005,
  author    = {R. Angryk, F. Petry},
  title     = {Mining Multi-Level Associations with Fuzzy Hierarchies},
  booktitle = {Proc. 14th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 2005)},
  year      = {2005}
}

Creating Concept Hierarchies in an Information Retrieval System

Published in Proc. 5th IEEE Int. Conf. on Data Mining (ICDM 2005), Workshop on Foundations of Semantic Oriented Data and Web Mining, 2005

Cite as: B. Wall, N. Richter, R. Angryk, "Creating Concept Hierarchies in an Information Retrieval System," Proc. IEEE ICDM 2005 Workshop, Houston, November 2005, pp. 99-105.

@inproceedings{Angryk2005,
  author    = {B. Wall, N. Richter, R. Angryk},
  title     = {Creating Concept Hierarchies in an Information Retrieval System},
  booktitle = {Proc. 5th IEEE Int. Conf. on Data Mining (ICDM 2005), Workshop on Foundations of Semantic Oriented Data and Web Mining},
  year      = {2005}
}

Discovery of Abstract Knowledge from Non-Atomic Attribute Values in Fuzzy Relational Databases

Published in Modern Information Processing, From Theory to Applications, Elsevier, 2006

Cite as: R. Angryk, F. Petry, "Discovery of Abstract Knowledge from Non-Atomic Attribute Values in Fuzzy Relational Databases," in B. Bouchon-Meunier et al. (Eds.), Modern Information Processing, Elsevier, 2006, pp. 171-182.

@article{Angryk2006,
  author    = {R. Angryk, F. Petry},
  title     = {Discovery of Abstract Knowledge from Non-Atomic Attribute Values in Fuzzy Relational Databases},
  journal = {Modern Information Processing, From Theory to Applications, Elsevier},
  year      = {2006}
}

Knowledge Discovery in Fuzzy Databases Using Attribute-Oriented Induction

Published in Foundations and Novel Approaches in Data Mining, Studies in Computational Intelligence Vol. 9, Springer-Verlag, 2006

Cite as: R. Angryk, F. Petry, "Knowledge Discovery in Fuzzy Databases Using Attribute-Oriented Induction," in T.Y. Lin et al. (Eds.), Foundations and Novel Approaches in Data Mining, SCI Vol. 9, Springer-Verlag, 2006, pp. 169-196.

@article{Angryk2006,
  author    = {R. Angryk, F. Petry},
  title     = {Knowledge Discovery in Fuzzy Databases Using Attribute-Oriented Induction},
  journal = {Foundations and Novel Approaches in Data Mining, Studies in Computational Intelligence Vol. 9, Springer-Verlag},
  year      = {2006}
}

On Interpretation of Non-Atomic Values and Induction of Decision Rules in Fuzzy Relational Databases

Published in Artificial Intelligence and Soft Computing, LNAI Vol. 4029, Springer-Verlag, 2006

Cite as: R. Angryk, "On Interpretation of Non-Atomic Values and Induction of Decision Rules in Fuzzy Relational Databases," in L. Rutkowski et al. (Eds.), Artificial Intelligence and Soft Computing, LNAI Vol. 4029, Springer-Verlag, 2006, pp. 170-181.

@article{Angryk2006,
  author    = {R. Angryk},
  title     = {On Interpretation of Non-Atomic Values and Induction of Decision Rules in Fuzzy Relational Databases},
  journal = {Artificial Intelligence and Soft Computing, LNAI Vol. 4029, Springer-Verlag},
  year      = {2006}
}

Development of Ontologies by the Lowest Common Abstraction of Terms Using Fuzzy Hypernym Chains

Published in Soft Computing in Ontologies and Semantic Web, Studies in Fuzziness and Soft Computing Vol. 204, Springer-Verlag, 2006

Cite as: R. Angryk, J. Dolan, F. Petry, "Development of Ontologies by the Lowest Common Abstraction of Terms Using Fuzzy Hypernym Chains," in Zongmin Ma (Ed.), Soft Computing in Ontologies and Semantic Web, SCI Vol. 204, Springer-Verlag, 2006, pp. 123-148.

@article{Angryk2006,
  author    = {R. Angryk, J. Dolan, F. Petry},
  title     = {Development of Ontologies by the Lowest Common Abstraction of Terms Using Fuzzy Hypernym Chains},
  journal = {Soft Computing in Ontologies and Semantic Web, Studies in Fuzziness and Soft Computing Vol. 204, Springer-Verlag},
  year      = {2006}
}

Similarity-driven Defuzzification of Fuzzy Tuples for Entropy-based Data Classification Purposes

Published in Proc. 15th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 2006), 2006

Cite as: R. Angryk, "Similarity-driven Defuzzification of Fuzzy Tuples for Entropy-based Data Classification Purposes," Proc. FUZZ-IEEE 2006, Vancouver, July 2006, pp. 1490-1498.

@inproceedings{Angryk2006,
  author    = {R. Angryk},
  title     = {Similarity-driven Defuzzification of Fuzzy Tuples for Entropy-based Data Classification Purposes},
  booktitle = {Proc. 15th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 2006)},
  year      = {2006}
}

Algorithm for Defuzzification of Multi-Valued Taxonomic Attributes in Similarity-Based Fuzzy Relational Databases

Published in Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, ASC Vol. 42, Springer-Verlag, 2007

Cite as: M.S. Hossain, R. Angryk, "Algorithm for Defuzzification of Multi-Valued Taxonomic Attributes in Similarity-Based Fuzzy Relational Databases," Theoretical Advances and Applications of Fuzzy Logic, ASC Vol. 42, Springer-Verlag, 2007, pp. 23-35.

@article{Angryk2007,
  author    = {M.S. Hossain, R. Angryk},
  title     = {Algorithm for Defuzzification of Multi-Valued Taxonomic Attributes in Similarity-Based Fuzzy Relational Databases},
  journal = {Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, ASC Vol. 42, Springer-Verlag},
  year      = {2007}
}

Attribute-Oriented Fuzzy Generalization in Proximity- and Similarity-Based Relational Database Systems

Published in International Journal of Intelligent Systems, 2007

Cite as: R. Angryk, F. Petry, "Attribute-Oriented Fuzzy Generalization in Proximity- and Similarity-Based Relational Database Systems," International Journal of Intelligent Systems, Vol. 22(7), Wiley, 2007, pp. 763-779.

@article{Angryk2007,
  author    = {R. Angryk, F. Petry},
  title     = {Attribute-Oriented Fuzzy Generalization in Proximity- and Similarity-Based Relational Database Systems},
  journal = {International Journal of Intelligent Systems},
  year      = {2007}
}

GDClust: A Graph-Based Clustering Technique for Text Documents

Published in Proc. 7th IEEE Int. Conf. on Data Mining (ICDM 2007), Workshop on Mining Graphs and Complex Structures, 2007

Cite as: M.S. Hossain, R. Angryk, "GDClust: A Graph-Based Clustering Technique for Text Documents," Proc. IEEE ICDM 2007 Workshop, Omaha, October 2007, pp. 417-422.

@inproceedings{Angryk2007,
  author    = {M.S. Hossain, R. Angryk},
  title     = {GDClust: A Graph-Based Clustering Technique for Text Documents},
  booktitle = {Proc. 7th IEEE Int. Conf. on Data Mining (ICDM 2007), Workshop on Mining Graphs and Complex Structures},
  year      = {2007}
}

Generating Concept Hierarchies from User Queries

Published in Data Mining: Foundations and Practice, Studies in Computational Intelligence Vol. 118, Springer-Verlag, 2008

Cite as: B. Wall, N. Richter, R. Angryk, "Generating Concept Hierarchies from User Queries," in T.Y. Lin et al. (Eds.), Data Mining: Foundations and Practice, SCI Vol. 118, Springer-Verlag, 2008, pp. 423-442.

@article{Angryk2008,
  author    = {B. Wall, N. Richter, R. Angryk},
  title     = {Generating Concept Hierarchies from User Queries},
  journal = {Data Mining: Foundations and Practice, Studies in Computational Intelligence Vol. 118, Springer-Verlag},
  year      = {2008}
}

An Example-based Image Retrieval System for the TRACE Repository

Published in Proc. 19th Int. Conf. on Pattern Recognition (ICPR 2008), 2008

Cite as: R. Lamb, R. Angryk, P. Martens, "An Example-based Image Retrieval System for the TRACE Repository," Proc. ICPR 2008, Tampa, FL, December 2008, pp. 1-4.

@inproceedings{Angryk2008,
  author    = {R. Lamb, R. Angryk, P. Martens},
  title     = {An Example-based Image Retrieval System for the TRACE Repository},
  booktitle = {Proc. 19th Int. Conf. on Pattern Recognition (ICPR 2008)},
  year      = {2008}
}

An Efficient Abstraction-Based Data Model for Information Retrieval

Published in Advances in Artificial Intelligence, LNCS Vol. 5866, Springer-Verlag, 2009

Cite as: R. McAllister, R. Angryk, "An Efficient Abstraction-Based Data Model for Information Retrieval," Advances in Artificial Intelligence, LNCS Vol. 5866, Springer-Verlag, 2009, pp. 567-576.

@article{Angryk2009,
  author    = {R. McAllister, R. Angryk},
  title     = {An Efficient Abstraction-Based Data Model for Information Retrieval},
  journal = {Advances in Artificial Intelligence, LNCS Vol. 5866, Springer-Verlag},
  year      = {2009}
}

Attribute-Oriented Defuzzification of Fuzzy Database Tuples with Conjunctive Interpretation of Categorical Entries

Published in Control and Cybernetics, 2009

Cite as: R. Angryk, "Attribute-Oriented Defuzzification of Fuzzy Database Tuples with Conjunctive Interpretation of Categorical Entries," Control and Cybernetics, Vol. 38(2), Polish Academy of Sciences, 2009, pp. 419-453.

@article{Angryk2009,
  author    = {R. Angryk},
  title     = {Attribute-Oriented Defuzzification of Fuzzy Database Tuples with Conjunctive Interpretation of Categorical Entries},
  journal = {Control and Cybernetics},
  year      = {2009}
}

On the Effectiveness of Fuzzy Clustering as a Data Discretization Technique for Large-scale Classification of Solar Images

Published in Proc. 18th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 2009), 2009

Cite as: J.M. Banda, R. Angryk, "On the Effectiveness of Fuzzy Clustering as a Data Discretization Technique for Large-scale Classification of Solar Images," Proc. FUZZ-IEEE 2009, Jeju Island, Korea, August 2009, pp. 2019-2024.

@inproceedings{Angryk2009,
  author    = {J.M. Banda, R. Angryk},
  title     = {On the Effectiveness of Fuzzy Clustering as a Data Discretization Technique for Large-scale Classification of Solar Images},
  booktitle = {Proc. 18th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 2009)},
  year      = {2009}
}

Heuristic Algorithm for Interpretation of Multi-Valued Attributes in Similarity-based Fuzzy Relational Databases

Published in International Journal of Approximate Reasoning, 2010

Cite as: R. Angryk, J. Czerniak, "Heuristic Algorithm for Interpretation of Multi-Valued Attributes in Similarity-based Fuzzy Relational Databases," International Journal of Approximate Reasoning, Vol. 51(8), Elsevier, 2010, pp. 895-911.

@article{Angryk2010,
  author    = {R. Angryk, J. Czerniak},
  title     = {Heuristic Algorithm for Interpretation of Multi-Valued Attributes in Similarity-based Fuzzy Relational Databases},
  journal = {International Journal of Approximate Reasoning},
  year      = {2010}
}

Semantically-Guided Clustering of Text Documents via Frequent Subgraphs Discovery

Published in Foundations of Intelligent Systems, LNCS Vol. 6804, Springer-Verlag, 2011

Cite as: R. Angryk, M.S. Hossain, B. Norick, "Semantically-Guided Clustering of Text Documents via Frequent Subgraphs Discovery," Foundations of Intelligent Systems, LNCS Vol. 6804, Springer-Verlag, 2011, pp. 407-417.

@article{Angryk2011,
  author    = {R. Angryk, M.S. Hossain, B. Norick},
  title     = {Semantically-Guided Clustering of Text Documents via Frequent Subgraphs Discovery},
  journal = {Foundations of Intelligent Systems, LNCS Vol. 6804, Springer-Verlag},
  year      = {2011}
}

On the Surprisingly Accurate Transfer of Image Parameters between Medical and Solar Images

Published in Proc. 18th IEEE Int. Conf. on Image Processing (IEEE ICIP 2011), 2011

Cite as: J.M. Banda, R.A. Angryk, P. Martens, "On the Surprisingly Accurate Transfer of Image Parameters between Medical and Solar Images," Proc. IEEE ICIP 2011, Brussels, September 2011, pp. 3669-3672.

@inproceedings{Angryk2011,
  author    = {J.M. Banda, R.A. Angryk, P. Martens},
  title     = {On the Surprisingly Accurate Transfer of Image Parameters between Medical and Solar Images},
  booktitle = {Proc. 18th IEEE Int. Conf. on Image Processing (IEEE ICIP 2011)},
  year      = {2011}
}

Computer Vision for the Solar Dynamics Observatory (SDO)

Published in Solar Physics, 2012  |  Download Paper

Cite as: P.C.H. Martens et al., "Computer Vision for the Solar Dynamics Observatory (SDO)," Solar Physics, Vol. 275(1), Springer-Verlag, 2012, pp. 79-113.

@article{Angryk2012,
  author    = {P.C.H. Martens et al.},
  title     = {Computer Vision for the Solar Dynamics Observatory (SDO)},
  journal = {Solar Physics},
  year      = {2012},
  url       = {https://link.springer.com/article/10.1007/s11207-010-9697-y}
}

On Dimensionality Reduction for Indexing and Retrieval of Large-scale Solar Image Data

Published in Solar Physics, 2013  |  Download Paper

Cite as: J. Banda, R. Angryk, P. Martens, "On Dimensionality Reduction for Indexing and Retrieval of Large-scale Solar Image Data," Solar Physics, Vol. 283(1), Springer-Verlag, 2013, pp. 113-141.

@article{Angryk2013,
  author    = {J. Banda, R. Angryk, P. Martens},
  title     = {On Dimensionality Reduction for Indexing and Retrieval of Large-scale Solar Image Data},
  journal = {Solar Physics},
  year      = {2013},
  url       = {http://link.springer.com/article/10.1007/s11207-012-0027-4}
}

Abstracting for Dimensionality Reduction in Text Classification

Published in International Journal of Intelligent Systems, 2013  |  Download Paper

Cite as: R.A. McAllister, R.A. Angryk, "Abstracting for Dimensionality Reduction in Text Classification," International Journal of Intelligent Systems, Vol. 28(2), Wiley, 2013, pp. 115-138.

@article{Angryk2013,
  author    = {R.A. McAllister, R.A. Angryk},
  title     = {Abstracting for Dimensionality Reduction in Text Classification},
  journal = {International Journal of Intelligent Systems},
  year      = {2013},
  url       = {http://onlinelibrary.wiley.com/doi/10.1002/int.21543/full}
}

Steps toward Large-Scale Solar Image Data Analysis to Differentiate Solar Phenomena

Published in Solar Physics, 2013  |  Download Paper

Cite as: J.M. Banda, R.A. Angryk, P.C.H. Martens, "Steps toward Large-Scale Solar Image Data Analysis to Differentiate Solar Phenomena," Solar Physics, Vol. 288(1), Springer-Verlag, 2013, pp. 435-462.

@article{Angryk2013,
  author    = {J.M. Banda, R.A. Angryk, P.C.H. Martens},
  title     = {Steps toward Large-Scale Solar Image Data Analysis to Differentiate Solar Phenomena},
  journal = {Solar Physics},
  year      = {2013},
  url       = {http://link.springer.com/article/10.1007%2Fs11207-013-0304-x}
}

An IEEE Standards-based Visualization Tool for Knowledge Discovery in Maintenance Event Sequences

Published in IEEE Aerospace and Electronic Systems Magazine, 2013

Cite as: M. Schuh, J. Sheppard, S. Strasser, R. Angryk, C. Izurieta, "An IEEE Standards-based Visualization Tool for Knowledge Discovery in Maintenance Event Sequences," IEEE Aerospace and Electronic Systems Magazine, Vol. 28(7), IEEE, 2013, pp. 30-39.

@article{Angryk2013,
  author    = {M. Schuh, J. Sheppard, S. Strasser, R. Angryk, C. Izurieta},
  title     = {An IEEE Standards-based Visualization Tool for Knowledge Discovery in Maintenance Event Sequences},
  journal = {IEEE Aerospace and Electronic Systems Magazine},
  year      = {2013}
}

Comparison of two kinds of fuzzy arithmetic, LR and OFN, applied to fuzzy observation of the cofferdam water level

Published in Computer Science, 2013  |  Download Paper

Cite as: J.M. Czerniak, W.T. Dobrosielski, R.A. Angryk, "Comparison of two kinds of fuzzy arithmetic, LR and OFN, applied to fuzzy observation of the cofferdam water level," Computer Science, Vol. 14(3), AGH University, 2013, pp. 443-457.

@article{Angryk2013,
  author    = {J.M. Czerniak, W.T. Dobrosielski, R.A. Angryk},
  title     = {Comparison of two kinds of fuzzy arithmetic, LR and OFN, applied to fuzzy observation of the cofferdam water level},
  journal = {Computer Science},
  year      = {2013},
  url       = {http://dx.doi.org/10.7494/csci.2013.14.3.443}
}

A Large-Scale Solar Image Dataset with Labeled Event Regions

Published in Proc. 20th IEEE Int. Conf. on Image Processing (IEEE ICIP 2013), 2013

Cite as: M.A. Schuh, R.A. Angryk, K. Ganesan Pillai, J.M. Banda, P.C.H. Martens, "A Large-Scale Solar Image Dataset with Labeled Event Regions," Proc. IEEE ICIP 2013, Melbourne, September 2013, pp. 4349-4353.

@inproceedings{Angryk2013,
  author    = {M.A. Schuh, R.A. Angryk, K. Ganesan Pillai, J.M. Banda, P.C.H. Martens},
  title     = {A Large-Scale Solar Image Dataset with Labeled Event Regions},
  booktitle = {Proc. 20th IEEE Int. Conf. on Image Processing (IEEE ICIP 2013)},
  year      = {2013}
}

imageFARMER: Introducing a Data Mining Framework for the Creation of Large-scale Content-based Image Retrieval Systems

Published in International Journal of Computer Applications, 2013  |  Download Paper

Cite as: J.M. Banda, R.A. Angryk, P.C.H. Martens, "imageFARMER: Introducing a Data Mining Framework for the Creation of Large-scale Content-based Image Retrieval Systems," International Journal of Computer Applications, Vol. 79(13), FCS, 2013, pp. 8-13.

@article{Angryk2013,
  author    = {J.M. Banda, R.A. Angryk, P.C.H. Martens},
  title     = {imageFARMER: Introducing a Data Mining Framework for the Creation of Large-scale Content-based Image Retrieval Systems},
  journal = {International Journal of Computer Applications},
  year      = {2013},
  url       = {http://www.ijcaonline.org/archives/volume79/number13/13799-1777}
}

A Filter-and-Refine Approach to Mine Spatiotemporal Co-occurrences

Published in Proc. 21st ACM SIGSPATIAL Int. Conf. on Advances in Geographic Information Systems, 2013

Cite as: K. Ganesan Pillai, R. Angryk, B. Aydin, "A Filter-and-Refine Approach to Mine Spatiotemporal Co-occurrences," Proc. ACM SIGSPATIAL 2013, Orlando, November 2013, pp. 114-123.

@inproceedings{Angryk2013,
  author    = {K. Ganesan Pillai, R. Angryk, B. Aydin},
  title     = {A Filter-and-Refine Approach to Mine Spatiotemporal Co-occurrences},
  booktitle = {Proc. 21st ACM SIGSPATIAL Int. Conf. on Advances in Geographic Information Systems},
  year      = {2013}
}

A Comparative Evaluation of Automated Solar Filament Detection

Published in Solar Physics, 2014  |  Download Paper

Cite as: M.A. Schuh, J.M. Banda, P.N. Bernasconi, R.A. Angryk, P.C.H. Martens, "A Comparative Evaluation of Automated Solar Filament Detection," Solar Physics, Vol. 289(7), Springer-Verlag, 2014, pp. 2503-2524.

@article{Angryk2014,
  author    = {M.A. Schuh, J.M. Banda, P.N. Bernasconi, R.A. Angryk, P.C.H. Martens},
  title     = {A Comparative Evaluation of Automated Solar Filament Detection},
  journal = {Solar Physics},
  year      = {2014},
  url       = {http://dx.doi.org/10.1007/s11207-014-0495-9}
}

Massive Labeled Solar Image Data Benchmarks for Automated Feature Recognition

Published in Proc. 2nd IEEE Int. Conf. on Big Data (IEEE BigData 2014), 2014

Cite as: M. Schuh, R. Angryk, "Massive Labeled Solar Image Data Benchmarks for Automated Feature Recognition," Proc. IEEE BigData 2014, Washington DC, October 2014, pp. 53-60.

@inproceedings{Angryk2014,
  author    = {M. Schuh, R. Angryk},
  title     = {Massive Labeled Solar Image Data Benchmarks for Automated Feature Recognition},
  booktitle = {Proc. 2nd IEEE Int. Conf. on Big Data (IEEE BigData 2014)},
  year      = {2014}
}

Iterative Refinement of Multiple Targets Tracking of Solar Events

Published in Proc. 2nd IEEE Int. Conf. on Big Data (IEEE BigData 2014), 2014

Cite as: D. Kempton, K. Ganesan Pillai, R. Angryk, "Iterative Refinement of Multiple Targets Tracking of Solar Events," Proc. IEEE BigData 2014, Washington DC, October 2014, pp. 36-44.

@inproceedings{Angryk2014,
  author    = {D. Kempton, K. Ganesan Pillai, R. Angryk},
  title     = {Iterative Refinement of Multiple Targets Tracking of Solar Events},
  booktitle = {Proc. 2nd IEEE Int. Conf. on Big Data (IEEE BigData 2014)},
  year      = {2014}
}

On Visualization Techniques for Solar Data Mining

Published in Astronomy and Computing, 2015  |  Download Paper

Cite as: M.A. Schuh, J.M. Banda, T. Wylie, P. McInerney, K. Ganesan Pillai, R.A. Angryk, "On Visualization Techniques for Solar Data Mining," Astronomy and Computing, Vol. 10(2), Elsevier, 2015, pp. 32-42.

@article{Angryk2015,
  author    = {M.A. Schuh, J.M. Banda, T. Wylie, P. McInerney, K. Ganesan Pillai, R.A. Angryk},
  title     = {On Visualization Techniques for Solar Data Mining},
  journal = {Astronomy and Computing},
  year      = {2015},
  url       = {http://dx.doi.org/10.1016/j.ascom.2014.12.003}
}

Regional content-based image retrieval for solar images: Traditional versus modern methods

Published in Astronomy and Computing, 2015  |  Download Paper

Cite as: J.M. Banda, R.A. Angryk, "Regional content-based image retrieval for solar images: Traditional versus modern methods," Astronomy and Computing, Vol. 13(1), Elsevier, 2015, pp. 108-116.

@article{Angryk2015,
  author    = {J.M. Banda, R.A. Angryk},
  title     = {Regional content-based image retrieval for solar images: Traditional versus modern methods},
  journal = {Astronomy and Computing},
  year      = {2015},
  url       = {http://dx.doi.org/10.1016/j.ascom.2015.09.005}
}

Solar Image Parameter Data from the SDO: Long-term Curation and Data Mining

Published in Astronomy and Computing, 2015  |  Download Paper

Cite as: M.A. Schuh, R.A. Angryk, P.C. Martens, "Solar Image Parameter Data from the SDO: Long-term Curation and Data Mining," Astronomy and Computing, Vol. 13(1), Elsevier, 2015, pp. 86-98.

@article{Angryk2015,
  author    = {M.A. Schuh, R.A. Angryk, P.C. Martens},
  title     = {Solar Image Parameter Data from the SDO: Long-term Curation and Data Mining},
  journal = {Astronomy and Computing},
  year      = {2015},
  url       = {http://dx.doi.org/10.1016/j.ascom.2015.10.004}
}

Mining spatiotemporal co-occurrence patterns in solar datasets

Published in Astronomy and Computing, 2015  |  Download Paper

Cite as: B. Aydin, D. Kempton, V. Akkineni, R. Angryk, K.G. Pillai, "Mining spatiotemporal co-occurrence patterns in solar datasets," Astronomy and Computing, Vol. 13(1), Elsevier, 2015, pp. 136-144.

@article{Angryk2015,
  author    = {B. Aydin, D. Kempton, V. Akkineni, R. Angryk, K.G. Pillai},
  title     = {Mining spatiotemporal co-occurrence patterns in solar datasets},
  journal = {Astronomy and Computing},
  year      = {2015},
  url       = {http://dx.doi.org/10.1016/j.ascom.2015.10.003}
}

Tracking Solar Events through Iterative Refinement

Published in Astronomy and Computing, 2015  |  Download Paper

Cite as: D.J. Kempton, R.A. Angryk, "Tracking Solar Events through Iterative Refinement," Astronomy and Computing, Vol. 13(1), Elsevier, 2015, pp. 124-135.

@article{Angryk2015,
  author    = {D.J. Kempton, R.A. Angryk},
  title     = {Tracking Solar Events through Iterative Refinement},
  journal = {Astronomy and Computing},
  year      = {2015},
  url       = {http://dx.doi.org/10.1016/j.ascom.2015.10.005}
}

Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images

Published in Proc. 15th IEEE Int. Conf. on Data Mining Workshops (ICDMW 2015), 2015

Cite as: J.M. Banda, R.A. Angryk, "Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images," Proc. IEEE ICDMW 2015, Atlantic City, November 2015, pp. 582-588.

@inproceedings{Angryk2015,
  author    = {J.M. Banda, R.A. Angryk},
  title     = {Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images},
  booktitle = {Proc. 15th IEEE Int. Conf. on Data Mining Workshops (ICDMW 2015)},
  year      = {2015}
}

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.

@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}
}

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.

@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}
}

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.

@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}
}

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.

@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}
}

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.

@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 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.

@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}
}

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.

@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}
}

A Graph-based Approach to Spatiotemporal Event Sequence Mining

Published in Proc. 16th IEEE Int. Conf. on Data Mining Workshops (ICDMW 2016), SSTDM Workshop, 2016

Cite as: B. Aydin, R.A. Angryk, "A Graph-based Approach to Spatiotemporal Event Sequence Mining," Proc. IEEE ICDMW 2016, Barcelona, December 2016, pp. 1090-1097.

@inproceedings{Angryk2016,
  author    = {B. Aydin, R.A. Angryk},
  title     = {A Graph-based Approach to Spatiotemporal Event Sequence Mining},
  booktitle = {Proc. 16th IEEE Int. Conf. on Data Mining Workshops (ICDMW 2016), SSTDM Workshop},
  year      = {2016}
}

The SMART Approach to Comprehensive Quality Assessment of Site-Based Spatial-Temporal Data

Published in Proc. 4th IEEE Int. Conf. on Big Data (IEEE BigData 2016), 2016

Cite as: D.E. Galarus, R.A. Angryk, "The SMART Approach to Comprehensive Quality Assessment of Site-Based Spatial-Temporal Data," Proc. IEEE BigData 2016, Washington DC, December 2016, pp. 2636-2645.

@inproceedings{Angryk2016,
  author    = {D.E. Galarus, R.A. Angryk},
  title     = {The SMART Approach to Comprehensive Quality Assessment of Site-Based Spatial-Temporal Data},
  booktitle = {Proc. 4th IEEE Int. Conf. on Big Data (IEEE BigData 2016)},
  year      = {2016}
}

Describing Solar Images with Sparse Coding for Similarity Search

Published in Proc. 4th IEEE Int. Conf. on Big Data (IEEE BigData 2016), 2016

Cite as: D.J. Kempton, M.A. Schuh, R.A. Angryk, "Describing Solar Images with Sparse Coding for Similarity Search," Proc. IEEE BigData 2016, Washington DC, December 2016, pp. 3168-3176.

@inproceedings{Angryk2016,
  author    = {D.J. Kempton, M.A. Schuh, R.A. Angryk},
  title     = {Describing Solar Images with Sparse Coding for Similarity Search},
  booktitle = {Proc. 4th IEEE Int. Conf. on Big Data (IEEE BigData 2016)},
  year      = {2016}
}

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.

@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}
}

An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities

Published in Proc. 15th Int. Symposium on Spatial and Temporal Databases (SSTD 2017), LNCS Vol. 10411, Springer, 2017

Cite as: A. Kucuk et al., "An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities," Proc. SSTD 2017, LNCS Vol. 10411, Springer, 2017, pp. 405-411.

@inproceedings{Angryk2017,
  author    = {A. Kucuk et al.},
  title     = {An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities},
  booktitle = {Proc. 15th Int. Symposium on Spatial and Temporal Databases (SSTD 2017), LNCS Vol. 10411, Springer},
  year      = {2017}
}

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.

@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}
}

Multi-wavelength Solar Event Detection using Faster R-CNN

Published in Proc. 5th IEEE Int. Conf. on Big Data (IEEE BigData 2017), 2017

Cite as: A. Kucuk, B. Aydin, R. Angryk, "Multi-wavelength Solar Event Detection using Faster R-CNN," Proc. IEEE BigData 2017, Boston, December 2017, pp. 2470-2476.

@inproceedings{Angryk2017,
  author    = {A. Kucuk, B. Aydin, R. Angryk},
  title     = {Multi-wavelength Solar Event Detection using Faster R-CNN},
  booktitle = {Proc. 5th IEEE Int. Conf. on Big Data (IEEE BigData 2017)},
  year      = {2017}
}

Solar Flare Prediction using Multivariate Time Series Decision Trees

Published in Proc. 5th IEEE Int. Conf. on Big Data (IEEE BigData 2017), 2017

Cite as: R. Ma, S. Filali, S.M. Hamdi, R. Angryk, "Solar Flare Prediction using Multivariate Time Series Decision Trees," Proc. IEEE BigData 2017, Boston, December 2017, pp. 2487-2496.

@inproceedings{Angryk2017,
  author    = {R. Ma, S. Filali, S.M. Hamdi, R. Angryk},
  title     = {Solar Flare Prediction using Multivariate Time Series Decision Trees},
  booktitle = {Proc. 5th IEEE Int. Conf. on Big Data (IEEE BigData 2017)},
  year      = {2017}
}

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.

@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}
}

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.

@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}
}

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.

@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}
}

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.

@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}
}

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.

@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/}
}

Neuro-Ensemble for Time Series Data Classification

Published in Proc. 5th IEEE/ACM Int. Conf. on Data Science and Advanced Analytics (DSAA 2018), 2018

Cite as: S. Filali Boubrahimi, R. Ma, R. Angryk, "Neuro-Ensemble for Time Series Data Classification," Proc. IEEE/ACM DSAA 2018, Italy, October 2018, pp. 1-10.

@inproceedings{Angryk2018,
  author    = {S. Filali Boubrahimi, R. Ma, R. Angryk},
  title     = {Neuro-Ensemble for Time Series Data Classification},
  booktitle = {Proc. 5th IEEE/ACM Int. Conf. on Data Science and Advanced Analytics (DSAA 2018)},
  year      = {2018}
}

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.

@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}
}

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.

@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}
}

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.

@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}
}

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.

@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}
}

Interpretable Feature Learning of Graphs using Tensor Decomposition

Published in Proc. 19th IEEE Int. Conf. on Data Mining (IEEE ICDM 2019), 2019

Cite as: S.M. Hamdi, R.A. Angryk, "Interpretable Feature Learning of Graphs using Tensor Decomposition," Proc. IEEE ICDM 2019, Beijing, November 2019, pp. 270-279.

@inproceedings{Angryk2019,
  author    = {S.M. Hamdi, R.A. Angryk},
  title     = {Interpretable Feature Learning of Graphs using Tensor Decomposition},
  booktitle = {Proc. 19th IEEE Int. Conf. on Data Mining (IEEE ICDM 2019)},
  year      = {2019}
}

Tensor Decomposition-based Node Embedding

Published in Proc. 28th ACM Int. Conf. on Information and Knowledge Management (ACM CIKM 2019), 2019

Cite as: S.M. Hamdi, S. Filali Boubrahimi, R.A. Angryk, "Tensor Decomposition-based Node Embedding," Proc. ACM CIKM 2019, Beijing, November 2019, pp. 2105-2108.

@inproceedings{Angryk2019,
  author    = {S.M. Hamdi, S. Filali Boubrahimi, R.A. Angryk},
  title     = {Tensor Decomposition-based Node Embedding},
  booktitle = {Proc. 28th ACM Int. Conf. on Information and Knowledge Management (ACM CIKM 2019)},
  year      = {2019}
}

Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting

Published in Proc. 18th IEEE Int. Conf. on Machine Learning and Applications (IEEE ICMLA 2019), 2019

Cite as: A. Ahmadzadeh et al., "Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting," Proc. IEEE ICMLA 2019, Boca Raton, December 2019, pp. 1814-1820.

@inproceedings{Angryk2019,
  author    = {A. Ahmadzadeh et al.},
  title     = {Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting},
  booktitle = {Proc. 18th IEEE Int. Conf. on Machine Learning and Applications (IEEE ICMLA 2019)},
  year      = {2019}
}

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.

@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}
}

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.

@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}
}

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.

@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}
}

On the Mining of the Minimal Set of Time Series Data Shapelets

Published in Proc. 8th IEEE Int. Conf. on Big Data (IEEE BigData 2020), 2020

Cite as: S. Filali Boubrahimi, S.M. Hamdi, R. Ma, R. Angryk, "On the Mining of the Minimal Set of Time Series Data Shapelets," Proc. IEEE BigData 2020, Atlanta, December 2020, pp. 493-502.

@inproceedings{Angryk2020,
  author    = {S. Filali Boubrahimi, S.M. Hamdi, R. Ma, R. Angryk},
  title     = {On the Mining of the Minimal Set of Time Series Data Shapelets},
  booktitle = {Proc. 8th IEEE Int. Conf. on Big Data (IEEE BigData 2020)},
  year      = {2020}
}

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.

@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}
}

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.

@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}
}

Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures

Published in Proc. 28th IEEE Int. Conf. on Image Processing (IEEE ICIP 2021), 2021

Cite as: A. Ahmadzadeh, D.J. Kempton, Y. Chen, R.A. Angryk, "Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures," Proc. IEEE ICIP 2021, Anchorage, September 2021, pp. 684-688.

@inproceedings{Angryk2021,
  author    = {A. Ahmadzadeh, D.J. Kempton, Y. Chen, R.A. Angryk},
  title     = {Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures},
  booktitle = {Proc. 28th IEEE Int. Conf. on Image Processing (IEEE ICIP 2021)},
  year      = {2021}
}

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.

@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}
}

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.

@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}
}

Solar Flare Forecasting with Deep Learning-based Time Series Classifiers

Published in Proc. 26th Int. Conf. on Pattern Recognition (ICPR 2022), 2022

Cite as: A. Ji, J. Wen, R. Angryk, B. Aydin, "Solar Flare Forecasting with Deep Learning-based Time Series Classifiers," Proc. ICPR 2022, Montreal, January 2022, pp. 2907-2913.

@inproceedings{Angryk2022,
  author    = {A. Ji, J. Wen, R. Angryk, B. Aydin},
  title     = {Solar Flare Forecasting with Deep Learning-based Time Series Classifiers},
  booktitle = {Proc. 26th Int. Conf. on Pattern Recognition (ICPR 2022)},
  year      = {2022}
}

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.

@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}
}

TS-MIoU: A Time Series Similarity Metric Without Mapping

Published in Proc. ECML PKDD 2022, 2022

Cite as: A. Ahmadzadeh, Y. Chen, K.R. Puthucode, R.A. Angryk, "TS-MIoU: A Time Series Similarity Metric Without Mapping," Proc. ECML PKDD 2022, Grenoble, France, September 2022, pp. 1-17.

@inproceedings{Angryk2022,
  author    = {A. Ahmadzadeh, Y. Chen, K.R. Puthucode, R.A. Angryk},
  title     = {TS-MIoU: A Time Series Similarity Metric Without Mapping},
  booktitle = {Proc. ECML PKDD 2022},
  year      = {2022}
}

Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics

Published in Proc. 29th IEEE Int. Conf. on Image Processing (IEEE ICIP 2022), 2022

Cite as: A. Ahmadzadeh, R.A. Angryk, "Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics," Proc. IEEE ICIP 2022, Bordeaux, France, October 2022, pp. 51-55.

@inproceedings{Angryk2022,
  author    = {A. Ahmadzadeh, R.A. Angryk},
  title     = {Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics},
  booktitle = {Proc. 29th IEEE Int. Conf. on Image Processing (IEEE ICIP 2022)},
  year      = {2022}
}

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.

@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}
}

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.

@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}
}

Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting

Published in Proc. 26th Int. Conf. on Discovery Science (DS2023), 2023

Cite as: C. Pandey, R.A. Angryk, M.K. Georgoulis, B. Aydin, "Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention," Proc. DS2023, Porto, Portugal, October 2023, pp. 567-581.

@inproceedings{Angryk2023,
  author    = {C. Pandey, R.A. Angryk, M.K. Georgoulis, B. Aydin},
  title     = {Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting},
  booktitle = {Proc. 26th Int. Conf. on Discovery Science (DS2023)},
  year      = {2023}
}

Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions

Published in Proc. 22nd Int. Conf. on Machine Learning and Applications (ICMLA 2023), 2023

Cite as: C. Pandey, R.A. Angryk, B. Aydin, "Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions," Proc. ICMLA 2023, Jacksonville, FL, December 2023, pp. 703-708.

@inproceedings{Angryk2023,
  author    = {C. Pandey, R.A. Angryk, B. Aydin},
  title     = {Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions},
  booktitle = {Proc. 22nd Int. Conf. on Machine Learning and Applications (ICMLA 2023)},
  year      = {2023}
}

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.

@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}
}

Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction

Published in Proc. 24th Int. Conf. on Artificial Intelligence and Soft Computing (ICAISC), LNCS, Springer, 2024

Cite as: J. Wen, R.A. Angryk, "Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction," Proc. ICAISC 2024, LNCS, Springer, 2024, pp. 362-375.

@inproceedings{Angryk2024,
  author    = {J. Wen, R.A. Angryk},
  title     = {Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction},
  booktitle = {Proc. 24th Int. Conf. on Artificial Intelligence and Soft Computing (ICAISC), LNCS, Springer},
  year      = {2024}
}

Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches

Published in Proc. 35th European Conf. on Machine Learning and PKDD (ECML PKDD 2024), LNCS Vol. 14950, Springer, 2024

Cite as: C. Pandey, T. Adeyeha, J. Hong, R.A. Angryk, B. Aydin, "Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches," Proc. ECML PKDD 2024, LNCS Vol. 14950, Springer, 2024, pp. 50-60.

@inproceedings{Angryk2024,
  author    = {C. Pandey, T. Adeyeha, J. Hong, R.A. Angryk, B. Aydin},
  title     = {Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches},
  booktitle = {Proc. 35th European Conf. on Machine Learning and PKDD (ECML PKDD 2024), LNCS Vol. 14950, Springer},
  year      = {2024}
}

Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting

Published in Proc. 11th IEEE Int. Conf. on Data Science and Advanced Analytics (DSAA 2024), 2024

Cite as: C. Pandey, A. Ji, J. Hong, R.A. Angryk, B. Aydin, "Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting," Proc. IEEE DSAA 2024, San Diego, CA, October 2024, pp. 1-10.

@inproceedings{Angryk2024,
  author    = {C. Pandey, A. Ji, J. Hong, R.A. Angryk, B. Aydin},
  title     = {Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting},
  booktitle = {Proc. 11th IEEE Int. Conf. on Data Science and Advanced Analytics (DSAA 2024)},
  year      = {2024}
}

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.

@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}
}

Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator

Published in Proc. IEEE Int. Conf. on Data Mining Workshops (ICDMW), 2025

Cite as: R. Mansouri, D. Kempton, P. Riley, R. Angryk, "Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator," Proc. IEEE ICDMW, Washington DC, November 2025, pp. 1-7.

@inproceedings{Angryk2025,
  author    = {R. Mansouri, D. Kempton, P. Riley, R. Angryk},
  title     = {Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator},
  booktitle = {Proc. IEEE Int. Conf. on Data Mining Workshops (ICDMW)},
  year      = {2025}
}

EdgeAttNet: Towards Barb-Aware Filament Segmentation

Published in Proc. IEEE Int. Conf. on Data Mining Workshops (ICDMW), 2025

Cite as: V. Solomon, P. Martens, J. Liu, R. Angryk, "EdgeAttNet: Towards Barb-Aware Filament Segmentation," Proc. IEEE ICDMW, Washington DC, November 2025, pp. 1-9.

@inproceedings{Angryk2025,
  author    = {V. Solomon, P. Martens, J. Liu, R. Angryk},
  title     = {EdgeAttNet: Towards Barb-Aware Filament Segmentation},
  booktitle = {Proc. IEEE Int. Conf. on Data Mining Workshops (ICDMW)},
  year      = {2025}
}

Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction

Published in Proc. IEEE Int. Conf. on Data Mining Workshops (ICDMW), 2025

Cite as: C. Pandey, J. Hong, A. Ji, R.A. Angryk, B. Aydin, "Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction," Proc. IEEE ICDMW, Washington DC, November 2025, pp. 1-6.

@inproceedings{Angryk2025,
  author    = {C. Pandey, J. Hong, A. Ji, R.A. Angryk, B. Aydin},
  title     = {Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction},
  booktitle = {Proc. IEEE Int. Conf. on Data Mining Workshops (ICDMW)},
  year      = {2025}
}

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Teaching experience 1

Undergraduate course, University 1, Department, 2014

Teaching experience 2

Workshop, University 1, Department, 2015