Rafal A. Angryk

According to our database, Rafal A. Angryk authored at least 164 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods.

Chetraj Pandey, Rafal A. Angryk, Berkay Aydin

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

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

Chetraj Pandey, Rafal A. Angryk, Berkay Aydin

Proceedings of the International Conference on Machine Learning and Applications, 2023

Examining Effects of Class Imbalance on Conditional GAN Training.

Yang Chen, Dustin J. Kempton, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 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

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 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

Proceedings of the Discovery Science - 26th International Conference, 2023

Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks.

Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin

Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023

2022

Special issue on deep learning for time series data.

Ruizhe Ma, Rafal A. Angryk, Rafal Scherer

Neural Comput. Appl., 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

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

TS-MIoU: A Time Series Similarity Metric Without Mapping.

Azim Ahmadzadeh, Yang Chen, Krishna Rukmini Puthucode, Ruizhe Ma, Rafal A. Angryk

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Solar Flare Forecasting with Deep Learning-based Time Series Classifiers.

Anli Ji, Junzhi Wen, Rafal A. Angryk, Berkay Aydin

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics.

Azim Ahmadzadeh, Rafal A. Angryk

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Improving Solar Flare Prediction by Time Series Outlier Detection.

Junzhi Wen, Md Reazul Islam, Azim Ahmadzadeh, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021

Spatiotemporal event sequence discovery without thresholds.

Berkay Aydin, Soukaina Filali Boubrahimi, Ahmet Küçük, Bita Nezamdoust, Rafal A. Angryk

GeoInformatica, 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

Deep Neural Networks Based Solar Flare Prediction Using Compressed Full-disk Line-of-sight Magnetograms.

Chetraj Pandey, Rafal A. Angryk, Berkay Aydin

Proceedings of the Information Management and Big Data, 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

Proceedings of the 2021 International Conference on Data Mining, 2021

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

Azim Ahmadzadeh, Dustin J. Kempton, Yang Chen, Rafal A. Angryk

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Towards Synthetic Multivariate Time Series Generation for Flare Forecasting.

Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2021

Tiered Clustering for Time Series Data.

Ruizhe Ma, Rafal A. Angryk

Proceedings of the International Conference on Deep Learning, 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

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms.

Chetraj Pandey, Rafal A. Angryk, Berkay Aydin

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

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

Azim Ahmadzadeh, Kankana Sinha, Berkay Aydin, Rafal A. Angryk

SoftwareX, 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

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, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus C. Martens, Ryan M. McGranaghan, Edward Semones, John T. Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu

CoRR, 2020

A Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets.

Xumin Cai, Berkay Aydin, Anli Ji, Rafal A. Angryk

Proceedings of the 25th International Conference on Pattern Recognition, 2020

All-Clear Flare Prediction Using Interval-based Time Series Classifiers.

Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

First Steps Toward Synthetic Sample Generation for Machine Learning Based Flare Forecasting.

Maxwell Hostetter, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 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

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Deep Neural Network-based Active Region Magnetogram Patch Super Resolution.

Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 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

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Local Outlier Detection for Multi-type Spatio-temporal Trajectories.

Xumin Cai, Berkay Aydin, Saurabh Maydeo, Anli Ji, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Framework for Detecting Polarity Inversion Lines from Longitudinal Magnetograms.

Xumin Cai, Berkay Aydin, Anli Ji, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

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

Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Ruizhe Ma, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

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

A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission.

Azim Ahmadzadeh, Dustin J. Kempton, Rafal A. Angryk

CoRR, 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

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Interpretable Feature Learning of Graphs using Tensor Decomposition.

Shah Muhammad Hamdi, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

A Scalable Segmented Dynamic Time Warping for Time Series Classification.

Ruizhe Ma, Azim Ahmadzadeh, Soukaïna Filali Boubrahimi, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Tensor Decomposition-based Node Embedding.

Shah Muhammad Hamdi, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Solar Pre-Flare Classification with Time Series Profiling.

Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Big Data (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

Proceedings of the 2019 IEEE International Conference on Big Data (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

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Toward Filament Segmentation Using Deep Neural Networks.

Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton, Rafal A. Angryk, Shihao Ji

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

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

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Beyond accuracy - A SMART approach to site-based spatio-temporal data quality assessment.

Douglas E. Galarus, Rafal A. Angryk

Intell. Data Anal., 2018

Scalable kNN Search Approximation for Time Series Data.

Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Neuro-Ensemble for Time Series Data Classification.

Soukaina Filali Boubrahimi, Ruizhe Ma, Rafal A. Angryk

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Time Series Distance Density Cluster with Statistical Preprocessing.

Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Tensor Decomposition for Neurodevelopmental Disorder Prediction.

Shah Muhammad Hamdi, Yubao Wu, Soukaina Filali Boubrahimi, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris

Proceedings of the Brain Informatics - International Conference, 2018

Segmentation of Time Series in Improving Dynamic Time Warping.

Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Heuristics Significance of Neuro-Ensemble-based Time Series Classification.

Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 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

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

Neuro-Ensemble.

Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Rafal A. Angryk

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

Multivariate Time Series Nearest Neighbor Search: A Case Study on Solar Flare Prediction.

Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

2017

Measuring the Significance of Spatiotemporal Co-Occurrences.

Berkay Aydin, Ahmet Küçük, Rafal A. Angryk, Petrus C. Martens

ACM Trans. Spatial Algorithms Syst., 2017

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

Ahmet Küçük, Berkay Aydin, Soukaina Filali Boubrahimi, Dustin Kempton, Rafal A. Angryk

Proceedings of the Advances in Spatial and Temporal Databases, 2017

Cultivating Evolving Region Trajectory Datasets.

Sajitha Naduvil-Vadukootu, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Distance and Density Clustering for Time Series Data.

Ruizhe Ma, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Top-(R%, K) Spatiotemporal Event Sequence Mining.

Berkay Aydin, Ahmet Küçük, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Convolutional Neural Networks for Time Series Classification.

Mariusz Zebik, Marcin Korytkowski, Rafal A. Angryk, Rafal Scherer

Proceedings of the Artificial Intelligence and Soft Computing, 2017

Solar Event Classification Using Deep Convolutional Neural Networks.

Ahmet Küçük, Juan M. Banda, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2017

Neural Video Compression Based on PVQ Algorithm.

Michal Knop, Tomasz Kapuscinski, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2017

A Region-Based Retrieval System for Heliophysics Imagery.

Michael A. Schuh, Dustin Kempton, Rafal A. Angryk

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Evaluating Preprocessing Strategies for Time Series Prediction using Deep Learning Architectures.

Sajitha Naduvil-Vadukootu, Rafal A. Angryk, Pete Riley

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Solar flare prediction using multivariate time series decision trees.

Ruizhe Ma, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Multi-wavelength solar event detection using faster R-CNN.

Ahmet Küçük, Berkay Aydin, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A time series classification-based approach for solar flare prediction.

Shah Muhammad Hamdi, Dustin Kempton, Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 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

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Parallel computation of magnetic field parameters from HMI active region patches.

Sunitha Basodi, Berkay Aydin, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Improving the functionality of tamura directionality on solar images.

Azim Ahmadzadeh, Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

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

SPARQL queries on RDF with fuzzy constraints and preferences.

Ruizhe Ma, Xiangyue Jia, Jingwei Cheng, Rafal A. Angryk

J. Intell. Fuzzy Syst., 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

Mining spatiotemporal co-occurrence patterns in non-relational databases.

Berkay Aydin, Vijay Akkineni, Rafal A. Angryk

GeoInformatica, 2016

Spatiotemporal event sequence mining from evolving regions.

Berkay Aydin, Rafal A. Angryk

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns.

Shah Muhammad Hamdi, Berkay Aydin, Rafal A. Angryk

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A Graph-Based Approach to Spatiotemporal Event Sequence Mining.

Berkay Aydin, Rafal A. Angryk

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Rough Restricted Boltzmann Machine - New Architecture for Incomplete Input Data.

Wojciech K. Mleczko, Robert K. Nowicki, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2016

Color-Based Large-Scale Image Retrieval with Limited Hardware Resources.

Michal Lagiewka, Rafal Scherer, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2016

Neural Video Compression Based on RBM Scene Change Detection Algorithm.

Michal Knop, Tomasz Kapuscinski, Wojciech K. Mleczko, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2016

Towards Feature Selection for Appearance Models in Solar Event Tracking.

Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2016

A SMART approach to quality assessment of site-based spatio-temporal data.

Douglas E. Galarus, Rafal A. Angryk

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 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

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Discovering spatiotemporal event sequences.

Berkay Aydin, Rafal A. Angryk

Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, 2016

On the theory and practice of high-dimensional data indexing with iDistance.

Michael A. Schuh, Rafal A. Angryk

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

A data-driven analysis of interplanetary coronal mass ejecta and magnetic flux ropes.

Ruizhe Ma, Rafal A. Angryk, Pete Riley

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Describing solar images with sparse coding for similarity search.

Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Spatio-temporal interpolation methods for solar events metadata.

Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Rafal A. Angryk

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Indexing spatiotemporal relations in solar event datasets.

Berkay Aydin, Ahmet Küçük, Rafal A. Angryk

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

The SMART approach to comprehensive quality assessment of site-based spatial-temporal data.

Rafal A. Angryk, Douglas E. Galarus

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 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

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 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

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets.

Vijay Akkineni, Berkay Aydin, Sajitha Naduvil-Vadukootu, Rafal A. Angryk

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

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

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

Tracking Solar Events through Iterative Refinement.

Dustin J. Kempton, Rafal A. Angryk

Astron. Comput., 2015

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

Juan M. Banda, Rafal A. Angryk

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

Special Section: Management, Search and Analysis of Solar Astronomy Big Data.

Rafal A. Angryk, André Csillaghy, Petrus C. Martens

Astron. Comput., 2015

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

Juan M. Banda, Rafal A. Angryk

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions.

Berkay Aydin, Rafal A. Angryk

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics.

Berkay Aydin, Vijay Akkineni, Rafal A. Angryk

Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

2014

Image retrieval on compressed images: Can we tell the difference?

Juan M. Banda, Rafal A. Angryk, Michael A. Schuh, Petrus C. Martens

Proceedings of the 4th International Conference on Image Processing Theory, 2014

Large-Scale Region-Based Multimedia Retrieval for Solar Images.

Juan M. Banda, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2014

Quality control from the perspective of a near-real-time, spatial-temporal data aggregator and (re)distributor.

Douglas E. Galarus, Rafal A. Angryk

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014

Mitigating the Curse of Dimensionality for Exact kNN Retrieval.

Michael A. Schuh, Tim Wylie, Rafal A. Angryk

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

ERMO-DG: Evolving Region Moving Object Dataset Generator.

Berkay Aydin, Rafal A. Angryk, Karthik Ganesan Pillai

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Approximating High-Dimensional Range Queries with kNN Indexing Techniques.

Michael A. Schuh, Tim Wylie, Chang Liu, Rafal A. Angryk

Proceedings of the Computing and Combinatorics - 20th International Conference, 2014

Massive labeled solar image data benchmarks for automated feature recognition.

Michael A. Schuh, Rafal A. Angryk

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Iterative refinement of multiple targets tracking of solar events.

Dustin Kempton, Karthik Ganesan Pillai, Rafal A. Angryk

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Scalable solar image Retrieval with Lucene.

Juan M. Banda, Rafal A. Angryk

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 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

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Storing Long-Lived Concurrent Schema and Data Versions in Relational Databases.

Bob Wall, Rafal A. Angryk

Proceedings of the New Trends in Database and Information Systems II, 2014

2013

Abstracting for Dimensionality Reduction in Text Classification.

Richard A. McAllister, Rafal A. Angryk

Int. J. Intell. Syst., 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

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

Proceedings of the IEEE International Conference on Image Processing, 2013

On Using SIFT Descriptors for Image Parameter Evaluation.

Patrick M. McInerney, Juan M. Banda, Rafal A. Angryk

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Region-Based Querying of Solar Data Using Descriptor Signatures.

Juan M. Banda, Chang Liu, Rafal A. Angryk

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

A filter-and-refine approach to mine spatiotemporal co-occurrences.

Karthik Ganesan Pillai, Rafal A. Angryk, Berkay Aydin

Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013

Mining robust neighborhoods for quality control of sensor data.

Douglas E. Galarus, Rafal A. Angryk

Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoStreaming, 2013

Cluster Analysis for Optimal Indexing.

Tim Wylie, Michael A. Schuh, John W. Sheppard, Rafal A. Angryk

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 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

Proceedings of the Big Data - 29th British National Conference on Databases, 2013

Extending High-Dimensional Indexing Techniques Pyramid and iMinMax(θ): Lessons Learned.

Karthik Ganesan Pillai, Liessman Sturlaugson, Juan M. Banda, Rafal A. Angryk

Proceedings of the Big Data - 29th British National Conference on Databases, 2013

Improving the Performance of High-Dimensional kNN Retrieval through Localized Dataspace Segmentation and Hybrid Indexing.

Michael A. Schuh, Tim Wylie, Rafal A. Angryk

Proceedings of the Advances in Databases and Information Systems, 2013

Spatiotemporal Co-occurrence Rules.

Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Tim Wylie, Michael A. Schuh

Proceedings of the New Trends in Databases and Information Systems, 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

Proceedings of the New Trends in Databases and Information Systems, 2013

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

Proceedings of the New Trends in Databases and Information Systems, 2013

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

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Evolving Kernel Functions with Particle Swarms and Genetic Programming.

Michael A. Schuh, Rafal A. Angryk, John W. Sheppard

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Automated Weather Sensor Quality Control.

Douglas E. Galarus, Rafal A. Angryk, John W. Sheppard

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Quantitative Comparison of Linear and Non-linear Dimensionality Reduction Techniques for Solar Image Archives.

Juan M. Banda, Rafal A. Angryk, Petrus C. Martens

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

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

Semantically-Guided Clustering of Text Documents via Frequent Subgraphs Discovery.

Rafal A. Angryk, Mahmud Shahriar Hossain, Brandon Norick

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

On the surprisingly accurate transfer of image parameters between medical and solar images.

Juan M. Banda, Rafal A. Angryk, Petrus C. Martens

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Minimal data sets vs. synchronized data copies in a schema and data versioning system.

Bob Wall, Rafal A. Angryk

Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management, 2011

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

Using Taxonomies to Perform Aggregated Querying over Imprecise Data.

Atanu Roy, Chandrima Sarkar, Rafal A. Angryk

Proceedings of the ICDMW 2010, 2010

An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image Categorization.

Juan M. Banda, Rafal A. Angryk

Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 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

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

Usage of Dissimilarity Measures and Multidimensional Scaling for Large Scale Solar Data Analysis.

Juan M. Banda, Rafal A. Angryk

Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

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

Proceedings of the FUZZ-IEEE 2009, 2009

An Abstraction-Based Data Model for Information Retrieval.

Richard A. McAllister, Rafal A. Angryk

Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008

Generating Concept Hierarchies from User Queries.

Bob Wall, Neal Richter, Rafal A. Angryk

Proceedings of the Data Mining: Foundations and Practice, 2008

An example based image retrieval system for the TRACE repository.

Robbie Lamb, Rafal A. Angryk, Piet Martiens

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Frequent pattern-growth approach for document organization.

Monika Akbar, Rafal A. Angryk

Proceedings of the 2nd International Workshop on Ontologies and Information Systems for the Semantic Web, 2008

2007

Attribute-oriented fuzzy generalization in proximity- and similarity-based relational database systems.

Rafal A. Angryk, Frederick E. Petry

Int. J. Intell. Syst., 2007

Measuring semantic similarity using wordnet-based context vectors.

Shen Wan, Rafal A. Angryk

Proceedings of the IEEE International Conference on Systems, 2007

Sense based organization of descriptive data.

Mahmud Shahriar Hossain, Monika Akbar, Rafal A. Angryk

Proceedings of the IEEE International Conference on Systems, 2007

Algorithm for Interpretation of Multi-valued Taxonomic Attributes in Similarity-Based Fuzzy Databases.

Mahmud Shahriar Hossain, Rafal A. Angryk

Proceedings of the Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 2007

GDClust: A Graph-Based Document Clustering Technique.

Mahmud Shahriar Hossain, Rafal A. Angryk

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Distributed Document Clustering Using Word-clusters.

Debzani Deb, Rafal A. Angryk

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

Knowledge Discovery in Fuzzy Databases Using Attribute-Oriented Induction.

Rafal A. Angryk, Frederick E. Petry

Proceedings of the Foundations and Novel Approaches in Data Mining, 2006

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

Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2006

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

Rafal A. Angryk

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Automated Generalization of Fuzzy Concept Hierarchies for Attribute-Oriented Induction Purposes.

Jacob Dolan, Rafal A. Angryk

Proceedings of the IASTED International Conference on Databases and Applications, 2006

Distributed hierarchical document clustering.

Debzani Deb, M. Muztaba Fuad, Rafal A. Angryk

Proceedings of the IASTED International Conference on Advances in Computer Science and Technology, 2006

2005

Mining Multi-Level Associations with Fuzzy Hierarchies.

Rafal A. Angryk, Frederick E. Petry

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004

Information filtering via fuzzy hierarchical induction.

Costin Barbu, Rafal A. Angryk, Frederick E. Petry, Marin Simina

Proceedings of the IEEE International Conference on Systems, 2004

Fuzzy Induction in Dynamic User Profiling for Information Filtering.

Rafal A. Angryk, Costin Barbu

Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2002

Travel Support System - an Agent-Biased Framework.

Rafal A. Angryk, Violetta Galant, Minor Gordon, Marcin Paprzycki

Proceedings of the International Conference on Internet Computing, 2002

2001

MICO, An Open Source CORBA Implementation.

Rafal A. Angryk

Scalable Comput. Pract. Exp., 2001