MICO, An Open Source CORBA Implementation. - Rafal A. Angryk (Parallel Distributed Comput. Pract., 2001)

Travel Support System - an Agent-Biased Framework. - Rafal A. Angryk; Violetta Galant; Minor Gordon; Marcin Paprzycki (International Conference on Internet Computing, 2002)

Fuzzy Induction in Dynamic User Profiling for Information Filtering. - Rafal A. Angryk; Costin Barbu (AAAI, 2004)

Information filtering via fuzzy hierarchical induction. - Costin Barbu; Rafal A. Angryk; Frederick E. Petry; Marin Simina (SMC (4), 2004)

Mining Multi-Level Associations with Fuzzy Hierarchies. - Rafal A. Angryk; Frederick E. Petry (FUZZ-IEEE, 2005)

Distributed hierarchical document clustering. - Debzani Deb; M. Muztaba Fuad; Rafal A. Angryk (ACST, 2006)

Automated Generalization of Fuzzy Concept Hierarchies for Attribute-Oriented Induction Purposes. - Jacob Dolan; Rafal A. Angryk (Databases and Applications, 2006)

Similarity-driven Defuzzification of Fuzzy Tuples for Entropy-based Data Classification Purposes. - Rafal A. Angryk (FUZZ-IEEE, 2006)

On Interpretation of Non-atomic Values and Induction of Decision Rules in Fuzzy Relational Databases. - Rafal A. Angryk (ICAISC, 2006)

Knowledge Discovery in Fuzzy Databases Using Attribute-Oriented Induction. - Rafal A. Angryk; Frederick E. Petry (Foundations and Novel Approaches in Data Mining, 2006)

Distributed Document Clustering Using Word-clusters. - Debzani Deb; Rafal A. Angryk (CIDM, 2007)

GDClust: A Graph-Based Document Clustering Technique. - Mahmud Shahriar Hossain; Rafal A. Angryk (ICDM Workshops, 2007)

Algorithm for Interpretation of Multi-valued Taxonomic Attributes in Similarity-Based Fuzzy Databases. - Mahmud Shahriar Hossain; Rafal A. Angryk (IFSA (2), 2007)

Sense based organization of descriptive data. - Mahmud Shahriar Hossain; Monika Akbar; Rafal A. Angryk (SMC, 2007)

Measuring semantic similarity using wordnet-based context vectors. - Shen Wan; Rafal A. Angryk (SMC, 2007)

Attribute-oriented fuzzy generalization in proximity- and similarity-based relational database systems. - Rafal A. Angryk; Frederick E. Petry (Int. J. Intell. Syst., 2007)

Frequent pattern-growth approach for document organization. - Monika Akbar; Rafal A. Angryk (ONISW, 2008)

An example based image retrieval system for the TRACE repository. - Robbie Lamb; Rafal A. Angryk; Piet Martiens (ICPR, 2008)

Generating Concept Hierarchies from User Queries. - Bob Wall; Neal Richter; Rafal A. Angryk (Data Mining: Foundations and Practice, 2008)

An Abstraction-Based Data Model for Information Retrieval. - Richard A. McAllister; Rafal A. Angryk (Australasian Conference on Artificial Intelligence, 2009)

On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images. - Juan M. Banda; Rafal A. Angryk (FUZZ-IEEE, 2009)

Usage of Dissimilarity Measures and Multidimensional Scaling for Large Scale Solar Data Analysis. - Juan M. Banda; Rafal A. Angryk (CIDU, 2010)

Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory. - Juan M. Banda; Rafal A. Angryk (DICTA, 2010)

An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image Categorization. - Juan M. Banda; Rafal A. Angryk (FLAIRS, 2010)

Using Taxonomies to Perform Aggregated Querying over Imprecise Data. - Atanu Roy; Chandrima Sarkar; Rafal A. Angryk (ICDM Workshops, 2010)

Heuristic algorithm for interpretation of multi-valued attributes in similarity-based fuzzy relational databases. - Rafal A. Angryk; Jacek M. Czerniak (Int. J. Approx. Reason., 2010)

Minimal data sets vs. synchronized data copies in a schema and data versioning system. - Bob Wall; Rafal A. Angryk (PIKM@CIKM, 2011)

On the surprisingly accurate transfer of image parameters between medical and solar images. - Juan M. Banda; Rafal A. Angryk; Petrus C. Martens (ICIP, 2011)

Semantically-Guided Clustering of Text Documents via Frequent Subgraphs Discovery. - Rafal A. Angryk; Mahmud Shahriar Hossain; Brandon Norick (ISMIS, 2011)

Heuristic Algorithm for Interpretation of Non-Atomic Categorical Attributes in Similarity-based Fuzzy Databases - Scalability Evaluation - Mahmud Shahriar Hossain; Rafal A. Angryk (CoRR, 2011)

Quantitative Comparison of Linear and Non-linear Dimensionality Reduction Techniques for Solar Image Archives. - Juan M. Banda; Rafal A. Angryk; Petrus C. Martens (FLAIRS, 2012)

Automated Weather Sensor Quality Control. - Douglas E. Galarus; Rafal A. Angryk; John W. Sheppard (FLAIRS, 2012)

Evolving Kernel Functions with Particle Swarms and Genetic Programming. - Michael A. Schuh; Rafal A. Angryk; John W. Sheppard (FLAIRS, 2012)

Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions. - Karthik Ganesan Pillai; Rafal A. Angryk; Juan M. Banda; Michael A. Schuh; Tim Wylie (ICDM Workshops, 2012)

Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events. - Juan M. Banda; Michael A. Schuh; Rafal A. Angryk; Karthik Ganesan Pillai; Patrick McInerney (ADBIS (2), 2013)

When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System. - Juan M. Banda; Michael A. Schuh; Tim Wylie; Patrick McInerney; Rafal A. Angryk (ADBIS (2), 2013)

Spatiotemporal Co-occurrence Rules. - Karthik Ganesan Pillai; Rafal A. Angryk; Juan M. Banda; Tim Wylie; Michael A. Schuh (ADBIS (2), 2013)

Improving the Performance of High-Dimensional kNN Retrieval through Localized Dataspace Segmentation and Hybrid Indexing. - Michael A. Schuh; Tim Wylie; Rafal A. Angryk (ADBIS, 2013)

Extending High-Dimensional Indexing Techniques Pyramid and iMinMax(θ): Lessons Learned. - Karthik Ganesan Pillai; Liessman Sturlaugson; Juan M. Banda; Rafal A. Angryk (BNCOD, 2013)

A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing. - Michael A. Schuh; Tim Wylie; Juan M. Banda; Rafal A. Angryk (BNCOD, 2013)

Cluster Analysis for Optimal Indexing. - Tim Wylie; Michael A. Schuh; John W. Sheppard; Rafal A. Angryk (FLAIRS, 2013)

Mining robust neighborhoods for quality control of sensor data. - Douglas E. Galarus; Rafal A. Angryk (IWGS, 2013)

A filter-and-refine approach to mine spatiotemporal co-occurrences. - Karthik Ganesan Pillai; Rafal A. Angryk; Berkay Aydin (SIGSPATIAL/GIS, 2013)

Region-Based Querying of Solar Data Using Descriptor Signatures. - Juan M. Banda; Chang Liu 080; Rafal A. Angryk (ICDM Workshops, 2013)

On Using SIFT Descriptors for Image Parameter Evaluation. - Patrick M. McInerney; Juan M. Banda; Rafal A. Angryk (ICDM Workshops, 2013)

A large-scale solar image dataset with labeled event regions. - Michael A. Schuh; Rafal A. Angryk; Karthik Ganesan Pillai; Juan M. Banda; Petrus C. Martens (ICIP, 2013)

Comparison of two kinds of fuzzy arithmetic, LR and OFN, applied to fuzzy observation of the cofferdam water level. - Jacek M. Czerniak; Wojciech T. Dobrosielski; Rafal A. Angryk (Comput. Sci., 2013)

Abstracting for Dimensionality Reduction in Text Classification. - Richard A. McAllister; Rafal A. Angryk (Int. J. Intell. Syst., 2013)

Storing Long-Lived Concurrent Schema and Data Versions in Relational Databases. - Bob Wall; Rafal A. Angryk (ADBIS (2), 2014)

Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns. - Berkay Aydin; Dustin Kempton; Vijay Akkineni; Shaktidhar Reddy Gopavaram; Karthik Ganesan Pillai; Rafal A. Angryk (IEEE BigData, 2014)

Scalable solar image Retrieval with Lucene. - Juan M. Banda; Rafal A. Angryk (IEEE BigData, 2014)

Iterative refinement of multiple targets tracking of solar events. - Dustin Kempton; Karthik Ganesan Pillai; Rafal A. Angryk (IEEE BigData, 2014)

Massive labeled solar image data benchmarks for automated feature recognition. - Michael A. Schuh; Rafal A. Angryk (IEEE BigData, 2014)

Approximating High-Dimensional Range Queries with kNN Indexing Techniques. - Michael A. Schuh; Tim Wylie; Chang Liu 080; Rafal A. Angryk (COCOON, 2014)

ERMO-DG: Evolving Region Moving Object Dataset Generator. - Berkay Aydin; Rafal A. Angryk; Karthik Ganesan Pillai (FLAIRS, 2014)

Mitigating the Curse of Dimensionality for Exact kNN Retrieval. - Michael A. Schuh; Tim Wylie; Rafal A. Angryk (FLAIRS, 2014)

Quality control from the perspective of a near-real-time, spatial-temporal data aggregator and (re)distributor. - Douglas E. Galarus; Rafal A. Angryk (SIGSPATIAL/GIS, 2014)

Large-Scale Region-Based Multimedia Retrieval for Solar Images. - Juan M. Banda; Rafal A. Angryk (ICAISC (1), 2014)

Image retrieval on compressed images: Can we tell the difference? - Juan M. Banda; Rafal A. Angryk; Michael A. Schuh; Petrus C. Martens (IPTA, 2014)

Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics. - Berkay Aydin; Vijay Akkineni; Rafal A. Angryk (SIGSPATIAL/GIS, 2015)

Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions. - Berkay Aydin; Rafal A. Angryk (ICDM Workshops, 2015)

Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images. - Juan M. Banda; Rafal A. Angryk (ICDM Workshops, 2015)

Special Section: Management, Search and Analysis of Solar Astronomy Big Data. - Rafal A. Angryk; André Csillaghy; Petrus C. Martens (Astron. Comput., 2015)

Mining spatiotemporal co-occurrence patterns in solar datasets. - Berkay Aydin; Dustin Kempton; Vijay Akkineni; Rafal A. Angryk; Karthik Ganesan Pillai (Astron. Comput., 2015)

Regional content-based image retrieval for solar images: Traditional versus modern methods. - Juan M. Banda; Rafal A. Angryk (Astron. Comput., 2015)

Tracking Solar Events through Iterative Refinement. - Dustin J. Kempton; Rafal A. Angryk (Astron. Comput., 2015)

Solar image parameter data from the SDO: Long-term curation and data mining. - Michael A. Schuh; Rafal A. Angryk; Petrus C. Martens (Astron. Comput., 2015)

On visualization techniques for solar data mining. - Michael A. Schuh; Juan M. Banda; Tim Wylie; Patrick McInerney; Karthik Ganesan Pillai; Rafal A. Angryk (Astron. Comput., 2015)

Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets. - Vijay Akkineni; Berkay Aydin; Sajitha Naduvil-Vadukootu; Rafal A. Angryk (BDCloud-SocialCom-SustainCom, 2016)

Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances. - Soukaina Filali Boubrahimi; Berkay Aydin; Dustin Kempton; Sushant S. Mahajan; Rafal A. Angryk (BDCloud-SocialCom-SustainCom, 2016)

Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories. - Ahmet Küçük; Shah Muhammad Hamdi; Berkay Aydin; Michael A. Schuh; Rafal A. Angryk (BDCloud-SocialCom-SustainCom, 2016)

The SMART approach to comprehensive quality assessment of site-based spatial-temporal data. - Rafal A. Angryk; Douglas E. Galarus (IEEE BigData, 2016)

Indexing spatiotemporal relations in solar event datasets. - Berkay Aydin; Ahmet Küçük; Rafal A. Angryk (IEEE BigData, 2016)

Spatio-temporal interpolation methods for solar events metadata. - Soukaina Filali Boubrahimi; Berkay Aydin; Dustin Kempton; Rafal A. Angryk (IEEE BigData, 2016)

Describing solar images with sparse coding for similarity search. - Dustin J. Kempton; Michael A. Schuh; Rafal A. Angryk (IEEE BigData, 2016)

A data-driven analysis of interplanetary coronal mass ejecta and magnetic flux ropes. - Ruizhe Ma; Rafal A. Angryk; Pete Riley (IEEE BigData, 2016)

On the theory and practice of high-dimensional data indexing with iDistance. - Michael A. Schuh; Rafal A. Angryk (IEEE BigData, 2016)

Discovering spatiotemporal event sequences. - Berkay Aydin; Rafal A. Angryk (MobiGIS, 2016)

SOLEV: a video generation framework for solar events from mixed data sources (demo paper). - Soukaina Filali Boubrahimi; Berkay Aydin; Dustin Kempton; Rafal A. Angryk (SIGSPATIAL/GIS, 2016)

A SMART approach to quality assessment of site-based spatio-temporal data. - Douglas E. Galarus; Rafal A. Angryk (SIGSPATIAL/GIS, 2016)

Towards Feature Selection for Appearance Models in Solar Event Tracking. - Dustin J. Kempton; Michael A. Schuh; Rafal A. Angryk (ICAISC (2), 2016)

Neural Video Compression Based on RBM Scene Change Detection Algorithm. - Michal Knop; Tomasz Kapuscinski; Wojciech K. Mleczko; Rafal A. Angryk (ICAISC (2), 2016)

Color-Based Large-Scale Image Retrieval with Limited Hardware Resources. - Michal Lagiewka; Rafal Scherer; Rafal A. Angryk (ICAISC (2), 2016)

Rough Restricted Boltzmann Machine - New Architecture for Incomplete Input Data. - Wojciech K. Mleczko; Robert K. Nowicki; Rafal A. Angryk (ICAISC (1), 2016)

A Graph-Based Approach to Spatiotemporal Event Sequence Mining. - Berkay Aydin; Rafal A. Angryk (ICDM Workshops, 2016)

A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns. - Shah Muhammad Hamdi; Berkay Aydin; Rafal A. Angryk (ICDM Workshops, 2016)

Spatiotemporal event sequence mining from evolving regions. - Berkay Aydin; Rafal A. Angryk (ICPR, 2016)

Mining spatiotemporal co-occurrence patterns in non-relational databases. - Berkay Aydin; Vijay Akkineni; Rafal A. Angryk (GeoInformatica, 2016)

Enabling high-dimensional range queries using kNN indexing techniques: approaches and empirical results. - Tim Wylie; Michael A. Schuh; Rafal A. Angryk (J. Comb. Optim., 2016)

SPARQL queries on RDF with fuzzy constraints and preferences. - Ruizhe Ma; Xiangyue Jia; Jingwei Cheng; Rafal A. Angryk (J. Intell. Fuzzy Syst., 2016)

Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations. - Karthik Ganesan Pillai; Rafal A. Angryk; Juan M. Banda; Dustin Kempton; Berkay Aydin; Petrus C. Martens (ACM Trans. Spatial Algorithms Syst., 2016)

Improving the functionality of tamura directionality on solar images. - Azim Ahmadzadeh; Dustin J. Kempton; Michael A. Schuh; Rafal A. Angryk (IEEE BigData, 2017)

Parallel computation of magnetic field parameters from HMI active region patches. - Sunitha Basodi; Berkay Aydin; Rafal A. Angryk (IEEE BigData, 2017)

On the prediction of >100 MeV solar energetic particle events using GOES satellite data. - Soukaina Filali Boubrahimi; Berkay Aydin; Petrus C. Martens; Rafal A. Angryk (IEEE BigData, 2017)

A time series classification-based approach for solar flare prediction. - Shah Muhammad Hamdi; Dustin Kempton; Ruizhe Ma; Soukaina Filali Boubrahimi; Rafal A. Angryk (IEEE BigData, 2017)

Multi-wavelength solar event detection using faster R-CNN. - Ahmet Küçük; Berkay Aydin; Rafal A. Angryk (IEEE BigData, 2017)

Solar flare prediction using multivariate time series decision trees. - Ruizhe Ma; Soukaina Filali Boubrahimi; Shah Muhammad Hamdi; Rafal A. Angryk (IEEE BigData, 2017)

Evaluating Preprocessing Strategies for Time Series Prediction using Deep Learning Architectures. - Sajitha Naduvil-Vadukootu; Rafal A. Angryk; Pete Riley (FLAIRS, 2017)

A Region-Based Retrieval System for Heliophysics Imagery. - Michael A. Schuh; Dustin Kempton; Rafal A. Angryk (FLAIRS, 2017)

Neural Video Compression Based on PVQ Algorithm. - Michal Knop; Tomasz Kapuscinski; Rafal A. Angryk (ICAISC (1), 2017)

Solar Event Classification Using Deep Convolutional Neural Networks. - Ahmet Küçük; Juan M. Banda; Rafal A. Angryk (ICAISC (1), 2017)

Convolutional Neural Networks for Time Series Classification. - Mariusz Zebik; Marcin Korytkowski; Rafal A. Angryk; Rafal Scherer (ICAISC (2), 2017)

Top-(R%, K) Spatiotemporal Event Sequence Mining. - Berkay Aydin; Ahmet Küçük; Soukaina Filali Boubrahimi; Rafal A. Angryk (ICDM Workshops, 2017)

Distance and Density Clustering for Time Series Data. - Ruizhe Ma; Rafal A. Angryk (ICDM Workshops, 2017)

Cultivating Evolving Region Trajectory Datasets. - Sajitha Naduvil-Vadukootu; Berkay Aydin; Michael A. Schuh; Rafal A. Angryk (ICDM Workshops, 2017)

An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities. - Ahmet Küçük; Berkay Aydin; Soukaina Filali Boubrahimi; Dustin Kempton; Rafal A. Angryk (SSTD, 2017)

Measuring the Significance of Spatiotemporal Co-Occurrences. - Berkay Aydin; Ahmet Küçük; Rafal A. Angryk; Petrus C. Martens (ACM Trans. Spatial Algorithms Syst., 2017)

Multivariate Time Series Nearest Neighbor Search: A Case Study on Solar Flare Prediction. - Soukaina Filali Boubrahimi; Rafal A. Angryk (AIKE, 2018)

Neuro-Ensemble. - Soukaina Filali Boubrahimi; Ruizhe Ma; Berkay Aydin; Rafal A. Angryk (AIKE, 2018)

Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks. - Shah Muhammad Hamdi; Berkay Aydin; Soukaina Filali Boubrahimi; Rafal A. Angryk; Lisa Crystal Krishnamurthy; Robin D. Morris (AIKE, 2018)

Heuristics Significance of Neuro-Ensemble-based Time Series Classification. - Soukaina Filali Boubrahimi; Rafal A. Angryk (IEEE BigData, 2018)

Segmentation of Time Series in Improving Dynamic Time Warping. - Ruizhe Ma; Azim Ahmadzadeh; Soukaina Filali Boubrahimi; Rafal A. Angryk (IEEE BigData, 2018)

Tensor Decomposition for Neurodevelopmental Disorder Prediction. - Shah Muhammad Hamdi; Yubao Wu; Soukaina Filali Boubrahimi; Rafal A. Angryk; Lisa Crystal Krishnamurthy; Robin D. Morris (BI, 2018)

Time Series Distance Density Cluster with Statistical Preprocessing. - Ruizhe Ma; Soukaina Filali Boubrahimi; Rafal A. Angryk (DaWaK, 2018)

Neuro-Ensemble for Time Series Data Classification. - Soukaina Filali Boubrahimi; Ruizhe Ma; Rafal A. Angryk (DSAA, 2018)

Scalable kNN Search Approximation for Time Series Data. - Soukaina Filali Boubrahimi; Ruizhe Ma; Berkay Aydin; Shah Muhammad Hamdi; Rafal A. Angryk (ICPR, 2018)

Beyond accuracy - A SMART approach to site-based spatio-temporal data quality assessment. - Douglas E. Galarus; Rafal A. Angryk (Intell. Data Anal., 2018)

Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data. - Azim Ahmadzadeh; Maxwell Hostetter; Berkay Aydin; Manolis K. Georgoulis; Dustin J. Kempton; Sushant S. Mahajan; Rafal A. Angryk (IEEE BigData, 2019)

Toward Filament Segmentation Using Deep Neural Networks. - Azim Ahmadzadeh; Sushant S. Mahajan; Dustin J. Kempton; Rafal A. Angryk; Shihao Ji 001 (IEEE BigData, 2019)

An Application of Spatio-temporal Co-occurrence Analyses for Integrating Solar Active Region Data from Multiple Reporting Modules. - Xumin Cai; Berkay Aydin; Manolis K. Georgoulis; Rafal A. Angryk (IEEE BigData, 2019)

Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis. - Maxwell Hostetter; Azim Ahmadzadeh; Berkay Aydin; Manolis K. Georgoulis; Dustin J. Kempton; Rafal A. Angryk (IEEE BigData, 2019)

Solar Pre-Flare Classification with Time Series Profiling. - Ruizhe Ma; Azim Ahmadzadeh; Soukaina Filali Boubrahimi; Manolis K. Georgoulis; Rafal A. Angryk (IEEE BigData, 2019)

Tensor Decomposition-based Node Embedding. - Shah Muhammad Hamdi; Soukaina Filali Boubrahimi; Rafal A. Angryk (CIKM, 2019)

A Scalable Segmented Dynamic Time Warping for Time Series Classification. - Ruizhe Ma; Azim Ahmadzadeh; Soukaïna Filali Boubrahimi; Rafal A. Angryk (ICAISC (2), 2019)

Interpretable Feature Learning of Graphs using Tensor Decomposition. - Shah Muhammad Hamdi; Rafal A. Angryk (ICDM, 2019)

Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting. - Azim Ahmadzadeh; Berkay Aydin; Dustin J. Kempton; Maxwell Hostetter; Rafal A. Angryk; Manolis K. Georgoulis; Sushant S. Mahajan (ICMLA, 2019)

A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission. - Azim Ahmadzadeh; Dustin J. Kempton; Rafal A. Angryk (CoRR, 2019)

Identification of Discriminative Subnetwork from fMRI-Based Complete Functional Connectivity Networks. - Shah Muhammad Hamdi; Yubao Wu; Rafal A. Angryk; Lisa Crystal Krishnamurthy; Robin D. Morris (Int. J. Semantic Comput., 2019)

On the Mining of the Minimal Set of Time Series Data Shapelets. - Soukaina Filali Boubrahimi; Shah Muhammad Hamdi; Ruizhe Ma; Rafal A. Angryk (IEEE BigData, 2020)

A Framework for Detecting Polarity Inversion Lines from Longitudinal Magnetograms. - Xumin Cai; Berkay Aydin; Anli Ji; Manolis K. Georgoulis; Rafal A. Angryk (IEEE BigData, 2020)

Local Outlier Detection for Multi-type Spatio-temporal Trajectories. - Xumin Cai; Berkay Aydin; Saurabh Maydeo; Anli Ji; Rafal A. Angryk (IEEE BigData, 2020)

On The Effectiveness of Imaging of Time Series for Flare Forecasting Problem. - Yang Chen; Anli Ji; Pavan Ajit Babajiyavar; Azim Ahmadzadeh; Rafal A. Angryk (IEEE BigData, 2020)

Deep Neural Network-based Active Region Magnetogram Patch Super Resolution. - Mohammed Shoebuddin Habeeb; Berkay Aydin; Azim Ahmadzadeh; Manolis K. Georgoulis; Rafal A. Angryk (IEEE BigData, 2020)

Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks. - Mohammed Shoebuddin Habeeb; Berkay Aydin; Azim Ahmadzadeh; Manolis K. Georgoulis; Rafal A. Angryk (IEEE BigData, 2020)

First Steps Toward Synthetic Sample Generation for Machine Learning Based Flare Forecasting. - Maxwell Hostetter; Rafal A. Angryk (IEEE BigData, 2020)

All-Clear Flare Prediction Using Interval-based Time Series Classifiers. - Anli Ji; Berkay Aydin; Manolis K. Georgoulis; Rafal A. Angryk (IEEE BigData, 2020)

A Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets. - Xumin Cai; Berkay Aydin; Anli Ji; Rafal A. Angryk (ICPR, 2020)

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. - Gelu Nita; Manolis K. Georgoulis; Irina Kitiashvili; Viacheslav Sadykov; Enrico Camporeale; Alexander Kosovichev; Haimin Wang; Vincent Oria; Jason T. L. Wang; Rafal A. Angryk; Berkay Aydin; Azim Ahmadzadeh; et al. (CoRR, 2020)

Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic. - Marcin Korytkowski; Roman Senkerik; Magdalena M. Scherer; Rafal A. Angryk; Miroslaw Kordos; Agnieszka Siwocha (J. Artif. Intell. Soft Comput. Res., 2020)

MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data. - Azim Ahmadzadeh; Kankana Sinha; Berkay Aydin; Rafal A. Angryk (SoftwareX, 2020)

Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms. - Chetraj Pandey; Rafal A. Angryk; Berkay Aydin (IEEE BigData, 2021)

A Modular Approach to Building Solar Energetic Particle Event Forecasting Systems. - Anli Ji; Akhil Arya; Dustin Kempton; Rafal A. Angryk; Manolis K. Georgoulis; Berkay Aydin (CogMI, 2021)

Tiered Clustering for Time Series Data. - Ruizhe Ma; Rafal A. Angryk (Deep-BDB, 2021)

Towards Synthetic Multivariate Time Series Generation for Flare Forecasting. - Yang Chen; Dustin J. Kempton; Azim Ahmadzadeh; Rafal A. Angryk (ICAISC (1), 2021)

Multiscale IOU: A Metric for Evaluation of Salient Object Detection with Fine Structures. - Azim Ahmadzadeh; Dustin J. Kempton; Yang Chen; Rafal A. Angryk (ICIP, 2021)

Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods. - Atharv Yeolekar; Sagar Patel; Shreejaa Talla; Krishna Rukmini Puthucode; Azim Ahmadzadeh; Viacheslav M. Sadykov; Rafal A. Angryk (ICDM (Workshops), 2021)

Deep Neural Networks Based Solar Flare Prediction Using Compressed Full-disk Line-of-sight Magnetograms. - Chetraj Pandey; Rafal A. Angryk; Berkay Aydin (SIMBig, 2021)

How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events. - Azim Ahmadzadeh; Berkay Aydin; Manolis K. Georgoulis; Dustin J. Kempton; Sushant S. Mahajan; Rafal A. Angryk (CoRR, 2021)

Spatiotemporal event sequence discovery without thresholds. - Berkay Aydin; Soukaina Filali Boubrahimi; Ahmet Küçük; Bita Nezamdoust; Rafal A. Angryk (GeoInformatica, 2021)

Improving Solar Flare Prediction by Time Series Outlier Detection. - Junzhi Wen; Md Reazul Islam; Azim Ahmadzadeh; Rafal A. Angryk (ICAISC (2), 2022)

Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics. - Azim Ahmadzadeh; Rafal A. Angryk (ICIP, 2022)

Solar Flare Forecasting with Deep Learning-based Time Series Classifiers. - Anli Ji; Junzhi Wen; Rafal A. Angryk; Berkay Aydin (ICPR, 2022)

TS-MIoU: A Time Series Similarity Metric Without Mapping. - Azim Ahmadzadeh; Yang Chen; Krishna Rukmini Puthucode; Ruizhe Ma; Rafal A. Angryk (ECML/PKDD (6), 2022)

Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting. - Chetraj Pandey; Anli Ji; Rafal A. Angryk; Manolis K. Georgoulis; Berkay Aydin (CoRR, 2022)

CGAN-based synthetic multivariate time-series generation: a solution to data scarcity in solar flare forecasting. - Yang Chen; Dustin J. Kempton; Azim Ahmadzadeh; Junzhi Wen; Anli Ji; Rafal A. Angryk (Neural Comput. Appl., 2022)

Special issue on deep learning for time series data. - Ruizhe Ma; Rafal A. Angryk; Rafal Scherer (Neural Comput. Appl., 2022)

Magnetic Polarity Inversion Line Detection and Analysis Tool. - Anli Ji; Nigar Khasayeva; Xumin Cai; Manolis K. Georgoulis; Petrus C. Martens; Rafal A. Angryk; Berkay Aydin (Zenodo, 2022)

Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. - Chetraj Pandey; Anli Ji; Rafal A. Angryk; Berkay Aydin (AIKE, 2023)

Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting. - Chetraj Pandey; Rafal A. Angryk; Manolis K. Georgoulis; Berkay Aydin (DS, 2023)

Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. - Chetraj Pandey; Anli Ji; Trisha Nandakumar; Rafal A. Angryk; Berkay Aydin (DSAA, 2023)

Examining Effects of Class Imbalance on Conditional GAN Training. - Yang Chen; Dustin J. Kempton; Rafal A. Angryk (ICAISC (1), 2023)

Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. - Chetraj Pandey; Rafal A. Angryk; Berkay Aydin (ICMLA, 2023)

Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods. - Chetraj Pandey; Rafal A. Angryk; Berkay Aydin (ECML/PKDD (7), 2023)

Contingency Space: A Semimetric Space for Classification Evaluation. - Azim Ahmadzadeh; Dustin J. Kempton; Petrus C. Martens; Rafal A. Angryk (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. - Chetraj Pandey; Anli Ji; Jinsu Hong; Rafal A. Angryk; Berkay Aydin (DSAA, 2024)

Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction. - Junzhi Wen; Rafal A. Angryk (ICAISC (1), 2024)

Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches. - Chetraj Pandey; Temitope Adeyeha; Jinsu Hong; Rafal A. Angryk; Berkay Aydin (ECML/PKDD (10), 2024)

FFAD: A Novel Metric for Assessing Generated Time Series Data Utilizing Fourier Transform and Auto-encoder. - Yang Chen; Dustin J. Kempton; Rafal A. Angryk (CoRR, 2024)

Exploring Solar Granulation: from IMaX/SUNRISE to DKIST. - Reza Mansouri; Rafal A. Angryk; Kevin P. Reardon (FLAIRS, 2025)

Time Series Decomposition Using Wavelet and Fourier Transforms for Enhanced Solar Flare Forecasting. - Victor Solomon; Junzhi Wen; Rafal A. Angryk; Manya Rampuria; Omkar Rayala; Abdul Afrid (FLAIRS, 2025)