Rafal A. Angryk

196 papers A* 2A 1B 20C 7Misc 14Journal 50Unranked 99

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	A Multimodal Machine Learning Approach for Solar Flare Prediction Using Polarity Inversion Lines Data with Low-Rank Fusion. ICMLA Ziba Khani, Reza Mansouri, Rafal A. Angryk, Berkay Aydin
2025	—	`conf`	Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator. ICDM (Workshops) Reza Mansouri, Dustin J. Kempton, Pete Riley, Rafal A. Angryk
2025	J	`jnl`	Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator. CoRR Reza Mansouri, Dustin Kempton, Pete Riley, Rafal A. Angryk
2025	—	`conf`	Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport. ICDM (Workshops) Rimsha Hameed Syeda, Dustin Kempton, Viacheslav Sadykov, Irina Kitiashvili, Rafal A. Angryk
2025	—	`conf`	EdgeAttNet: Towards Barb-Aware Filament Segmentation. ICDM (Workshops) Victor Solomon, Petrus C. Martens, Jingyu Liu, Rafal A. Angryk
2025	J	`jnl`	EdgeAttNet: Towards Barb-Aware Filament Segmentation. CoRR Victor Solomon, Petrus C. Martens, Jingyu Liu, Rafal A. Angryk
2025	Misc	`conf`	Exploring Solar Granulation: from IMaX/SUNRISE to DKIST. FLAIRS Reza Mansouri, Rafal A. Angryk, Kevin P. Reardon
2025	—	`conf`	Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction. ICDM (Workshops) Chetraj Pandey, Jinsu Hong, Anli Ji, Rafal A. Angryk, Berkay Aydin
2025	J	`jnl`	Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction. CoRR Chetraj Pandey, Jinsu Hong, Anli Ji, Rafal A. Angryk, Berkay Aydin
2025	Misc	`conf`	Time Series Decomposition Using Wavelet and Fourier Transforms for Enhanced Solar Flare Forecasting. FLAIRS Victor Solomon, Junzhi Wen, Rafal A. Angryk, Manya Rampuria, Omkar Rayala, Abdul Afrid
2025	C	`conf`	Toward Data-Driven Surrogates of the Solar Wind with Spherical Fourier Neural Operator. ICMLA Reza Mansouri, Dustin J. Kempton, Pete Riley, Rafal A. Angryk
2025	J	`jnl`	Toward Data-Driven Surrogates of the Solar Wind with Spherical Fourier Neural Operator. CoRR Reza Mansouri, Dustin Kempton, Pete Riley, Rafal A. Angryk
2024	—	`conf`	Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches. ECML/PKDD (10) Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
2024	J	`jnl`	Advancing Solar Flare Prediction using Deep Learning with Active Region Patches. CoRR Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
2024	—	`conf`	Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction. ICAISC (1) Junzhi Wen, Rafal A. Angryk
2024	J	`jnl`	Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction. CoRR Junzhi Wen, Rafal A. Angryk
2024	B	`conf`	Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. DSAA Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
2024	J	`jnl`	Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. CoRR Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
2024	J	`jnl`	FFAD: A Novel Metric for Assessing Generated Time Series Data Utilizing Fourier Transform and Auto-encoder. CoRR Yang Chen, Dustin J. Kempton, Rafal A. Angryk
2023	J	`jnl`	Contingency Space: A Semimetric Space for Classification Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. Azim Ahmadzadeh, Dustin J. Kempton, Petrus C. Martens, Rafal A. Angryk
2023	—	`conf`	Examining Effects of Class Imbalance on Conditional GAN Training. ICAISC (1) Yang Chen, Dustin J. Kempton, Rafal A. Angryk
2023	B	`conf`	Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting. DS Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
2023	J	`jnl`	Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting. CoRR Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
2023	—	`conf`	Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods. ECML/PKDD (7) Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
2023	J	`jnl`	Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods. CoRR Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
2023	B	`conf`	Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. DSAA Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin
2023	J	`jnl`	Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. CoRR Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin
2023	—	`conf`	Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. AIKE Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin
2023	J	`jnl`	Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. CoRR Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin
2023	C	`conf`	Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. ICMLA Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
2023	J	`jnl`	Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. CoRR Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
2022	J	`jnl`	CGAN-based synthetic multivariate time-series generation: a solution to data scarcity in solar flare forecasting. Neural Comput. Appl. Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Junzhi Wen, Anli Ji, Rafal A. Angryk
2022	—	`conf`	Improving Solar Flare Prediction by Time Series Outlier Detection. ICAISC (2) Junzhi Wen, Md Reazul Islam, Azim Ahmadzadeh, Rafal A. Angryk
2022	J	`jnl`	Improving Solar Flare Prediction by Time Series Outlier Detection. CoRR Junzhi Wen, Md Reazul Islam, Azim Ahmadzadeh, Rafal A. Angryk
2022	B	`conf`	Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics. ICIP Azim Ahmadzadeh, Rafal A. Angryk
2022	J	`jnl`	Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics. CoRR Azim Ahmadzadeh, Rafal A. Angryk
2022	B	`conf`	Solar Flare Forecasting with Deep Learning-based Time Series Classifiers. ICPR Anli Ji, Junzhi Wen, Rafal A. Angryk, Berkay Aydin
2022	J	`jnl`	Special issue on deep learning for time series data. Neural Comput. Appl. Ruizhe Ma, Rafal A. Angryk, Rafal Scherer
2022	—	`conf`	TS-MIoU: A Time Series Similarity Metric Without Mapping. ECML/PKDD (6) Azim Ahmadzadeh, Yang Chen, Krishna Rukmini Puthucode, Ruizhe Ma, Rafal A. Angryk
2022	J	`jnl`	Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting. CoRR Chetraj Pandey, Anli Ji, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
2021	—	`conf`	A Modular Approach to Building Solar Energetic Particle Event Forecasting Systems. CogMI Anli Ji, Akhil Arya, Dustin Kempton, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
2021	J	`jnl`	All-Clear Flare Prediction Using Interval-based Time Series Classifiers. CoRR Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk
2021	—	`conf`	Deep Neural Networks Based Solar Flare Prediction Using Compressed Full-disk Line-of-sight Magnetograms. SIMBig Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
2021	—	`conf`	Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods. ICDM (Workshops) Atharv Yeolekar, Sagar Patel, Shreejaa Talla, Krishna Rukmini Puthucode, Azim Ahmadzadeh, Viacheslav M. Sadykov, Rafal A. Angryk
2021	J	`jnl`	Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods. CoRR Atharv Yeolekar, Sagar Patel, Shreejaa Talla, Krishna Rukmini Puthucode, Azim Ahmadzadeh, Viacheslav M. Sadykov, Rafal A. Angryk
2021	J	`jnl`	How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events. CoRR Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
2021	B	`conf`	Multiscale IOU: A Metric for Evaluation of Salient Object Detection with Fine Structures. ICIP Azim Ahmadzadeh, Dustin J. Kempton, Yang Chen, Rafal A. Angryk
2021	J	`jnl`	Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures. CoRR Azim Ahmadzadeh, Dustin J. Kempton, Yang Chen, Rafal A. Angryk
2021	—	`conf`	Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms. IEEE BigData Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
2021	J	`jnl`	Spatiotemporal event sequence discovery without thresholds. GeoInformatica Berkay Aydin, Soukaina Filali Boubrahimi, Ahmet Küçük, Bita Nezamdoust, Rafal A. Angryk
2021	—	`conf`	Tiered Clustering for Time Series Data. Deep-BDB Ruizhe Ma, Rafal A. Angryk
2021	—	`conf`	Towards Synthetic Multivariate Time Series Generation for Flare Forecasting. ICAISC (1) Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Rafal A. Angryk
2021	J	`jnl`	Towards Synthetic Multivariate Time Series Generation for Flare Forecasting. CoRR Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Rafal A. Angryk
2020	—	`conf`	A Framework for Detecting Polarity Inversion Lines from Longitudinal Magnetograms. IEEE BigData Xumin Cai, Berkay Aydin, Anli Ji, Manolis K. Georgoulis, Rafal A. Angryk
2020	B	`conf`	A Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets. ICPR Xumin Cai, Berkay Aydin, Anli Ji, Rafal A. Angryk
2020	—	`conf`	All-Clear Flare Prediction Using Interval-based Time Series Classifiers. IEEE BigData Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk
2020	—	`conf`	Deep Neural Network-based Active Region Magnetogram Patch Super Resolution. IEEE BigData Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk
2020	J	`jnl`	Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic. J. Artif. Intell. Soft Comput. Res. Marcin Korytkowski, Roman Senkerik, Magdalena M. Scherer, Rafal A. Angryk, Miroslaw Kordos, Agnieszka Siwocha
2020	—	`conf`	First Steps Toward Synthetic Sample Generation for Machine Learning Based Flare Forecasting. IEEE BigData Maxwell Hostetter, Rafal A. Angryk
2020	—	`conf`	Local Outlier Detection for Multi-type Spatio-temporal Trajectories. IEEE BigData Xumin Cai, Berkay Aydin, Saurabh Maydeo, Anli Ji, Rafal A. Angryk
2020	J	`jnl`	MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data. SoftwareX Azim Ahmadzadeh, Kankana Sinha, Berkay Aydin, Rafal A. Angryk
2020	J	`jnl`	Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. CoRR 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 G. 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
2020	—	`conf`	On The Effectiveness of Imaging of Time Series for Flare Forecasting Problem. IEEE BigData Yang Chen, Anli Ji, Pavan Ajit Babajiyavar, Azim Ahmadzadeh, Rafal A. Angryk
2020	—	`conf`	On the Mining of the Minimal Set of Time Series Data Shapelets. IEEE BigData Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Ruizhe Ma, Rafal A. Angryk
2020	—	`conf`	Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks. IEEE BigData Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk
2019	J	`jnl`	A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission. CoRR Azim Ahmadzadeh, Dustin J. Kempton, Rafal A. Angryk
2019	—	`conf`	A Scalable Segmented Dynamic Time Warping for Time Series Classification. ICAISC (2) Ruizhe Ma, Azim Ahmadzadeh, Soukaïna Filali Boubrahimi, Rafal A. Angryk
2019	—	`conf`	An Application of Spatio-temporal Co-occurrence Analyses for Integrating Solar Active Region Data from Multiple Reporting Modules. IEEE BigData Xumin Cai, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk
2019	—	`conf`	Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data. IEEE BigData Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
2019	J	`jnl`	Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data. CoRR Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
2019	J	`jnl`	Identification of Discriminative Subnetwork from fMRI-Based Complete Functional Connectivity Networks. Int. J. Semantic Comput. Shah Muhammad Hamdi, Yubao Wu, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris
2019	A*	`conf`	Interpretable Feature Learning of Graphs using Tensor Decomposition. ICDM Shah Muhammad Hamdi, Rafal A. Angryk
2019	C	`conf`	Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting. ICMLA Azim Ahmadzadeh, Berkay Aydin, Dustin J. Kempton, Maxwell Hostetter, Rafal A. Angryk, Manolis K. Georgoulis, Sushant S. Mahajan
2019	—	`conf`	Solar Pre-Flare Classification with Time Series Profiling. IEEE BigData Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Manolis K. Georgoulis, Rafal A. Angryk
2019	A	`conf`	Tensor Decomposition-based Node Embedding. CIKM Shah Muhammad Hamdi, Soukaina Filali Boubrahimi, Rafal A. Angryk
2019	—	`conf`	Toward Filament Segmentation Using Deep Neural Networks. IEEE BigData Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton, Rafal A. Angryk, Shihao Ji
2019	J	`jnl`	Toward Filament Segmentation Using Deep Neural Networks. CoRR Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton, Rafal A. Angryk, Shihao Ji
2019	—	`conf`	Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis. IEEE BigData Maxwell Hostetter, Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Rafal A. Angryk
2018	J	`jnl`	Beyond accuracy - A SMART approach to site-based spatio-temporal data quality assessment. Intell. Data Anal. Douglas E. Galarus, Rafal A. Angryk
2018	—	`conf`	Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks. AIKE Shah Muhammad Hamdi, Berkay Aydin, Soukaina Filali Boubrahimi, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris
2018	—	`conf`	Heuristics Significance of Neuro-Ensemble-based Time Series Classification. IEEE BigData Soukaina Filali Boubrahimi, Rafal A. Angryk
2018	—	`conf`	Multivariate Time Series Nearest Neighbor Search: A Case Study on Solar Flare Prediction. AIKE Soukaina Filali Boubrahimi, Rafal A. Angryk
2018	B	`conf`	Neuro-Ensemble for Time Series Data Classification. DSAA Soukaina Filali Boubrahimi, Ruizhe Ma, Rafal A. Angryk
2018	—	`conf`	Neuro-Ensemble. AIKE Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Rafal A. Angryk
2018	B	`conf`	Scalable kNN Search Approximation for Time Series Data. ICPR Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk
2018	—	`conf`	Segmentation of Time Series in Improving Dynamic Time Warping. IEEE BigData Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A. Angryk
2018	—	`conf`	Tensor Decomposition for Neurodevelopmental Disorder Prediction. BI Shah Muhammad Hamdi, Yubao Wu, Soukaina Filali Boubrahimi, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris
2018	B	`conf`	Time Series Distance Density Cluster with Statistical Preprocessing. DaWaK Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk
2017	Misc	`conf`	A Region-Based Retrieval System for Heliophysics Imagery. FLAIRS Michael A. Schuh, Dustin Kempton, Rafal A. Angryk
2017	—	`conf`	A time series classification-based approach for solar flare prediction. IEEE BigData Shah Muhammad Hamdi, Dustin Kempton, Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk
2017	B	`conf`	An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities. SSTD Ahmet Küçük, Berkay Aydin, Soukaina Filali Boubrahimi, Dustin Kempton, Rafal A. Angryk
2017	—	`conf`	Convolutional Neural Networks for Time Series Classification. ICAISC (2) Mariusz Zebik, Marcin Korytkowski, Rafal A. Angryk, Rafal Scherer
2017	—	`conf`	Cultivating Evolving Region Trajectory Datasets. ICDM Workshops Sajitha Naduvil-Vadukootu, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk
2017	—	`conf`	Distance and Density Clustering for Time Series Data. ICDM Workshops Ruizhe Ma, Rafal A. Angryk
2017	Misc	`conf`	Evaluating Preprocessing Strategies for Time Series Prediction using Deep Learning Architectures. FLAIRS Sajitha Naduvil-Vadukootu, Rafal A. Angryk, Pete Riley
2017	—	`conf`	Improving the functionality of tamura directionality on solar images. IEEE BigData Azim Ahmadzadeh, Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk
2017	J	`jnl`	Measuring the Significance of Spatiotemporal Co-Occurrences. ACM Trans. Spatial Algorithms Syst. Berkay Aydin, Ahmet Küçük, Rafal A. Angryk, Petrus C. Martens
2017	—	`conf`	Multi-wavelength solar event detection using faster R-CNN. IEEE BigData Ahmet Küçük, Berkay Aydin, Rafal A. Angryk
2017	—	`conf`	Neural Video Compression Based on PVQ Algorithm. ICAISC (1) Michal Knop, Tomasz Kapuscinski, Rafal A. Angryk
2017	—	`conf`	On the prediction of >100 MeV solar energetic particle events using GOES satellite data. IEEE BigData Soukaina Filali Boubrahimi, Berkay Aydin, Petrus C. Martens, Rafal A. Angryk
2017	—	`conf`	Parallel computation of magnetic field parameters from HMI active region patches. IEEE BigData Sunitha Basodi, Berkay Aydin, Rafal A. Angryk
2017	—	`conf`	Solar Event Classification Using Deep Convolutional Neural Networks. ICAISC (1) Ahmet Küçük, Juan M. Banda, Rafal A. Angryk
2017	—	`conf`	Solar flare prediction using multivariate time series decision trees. IEEE BigData Ruizhe Ma, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Rafal A. Angryk
2017	—	`conf`	Top-(R%, K) Spatiotemporal Event Sequence Mining. ICDM Workshops Berkay Aydin, Ahmet Küçük, Soukaina Filali Boubrahimi, Rafal A. Angryk
2016	—	`ed.`	2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom), BDCloud-SocialCom-SustainCom 2016, Atlanta, GA, USA, October 8-10, 2016 BDCloud-SocialCom-SustainCom Zhipeng Cai, Rafal A. Angryk, Wen-Zhan Song, Yingshu Li, Xiaojun Cao, Anu G. Bourgeois, Guangchun Luo, Liang Cheng, Bhaskar Krishnamachari
2016	—	`conf`	A Graph-Based Approach to Spatiotemporal Event Sequence Mining. ICDM Workshops Berkay Aydin, Rafal A. Angryk
2016	—	`conf`	A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns. ICDM Workshops Shah Muhammad Hamdi, Berkay Aydin, Rafal A. Angryk
2016	—	`conf`	A SMART approach to quality assessment of site-based spatio-temporal data. SIGSPATIAL/GIS Douglas E. Galarus, Rafal A. Angryk
2016	—	`conf`	A data-driven analysis of interplanetary coronal mass ejecta and magnetic flux ropes. IEEE BigData Ruizhe Ma, Rafal A. Angryk, Pete Riley
2016	—	`conf`	Color-Based Large-Scale Image Retrieval with Limited Hardware Resources. ICAISC (2) Michal Lagiewka, Rafal Scherer, Rafal A. Angryk
2016	—	`conf`	Describing solar images with sparse coding for similarity search. IEEE BigData Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk
2016	—	`conf`	Discovering spatiotemporal event sequences. MobiGIS Berkay Aydin, Rafal A. Angryk
2016	J	`jnl`	Enabling high-dimensional range queries using kNN indexing techniques: approaches and empirical results. J. Comb. Optim. Tim Wylie, Michael A. Schuh, Rafal A. Angryk
2016	—	`conf`	Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances. BDCloud-SocialCom-SustainCom Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Sushant S. Mahajan, Rafal A. Angryk
2016	—	`conf`	Indexing spatiotemporal relations in solar event datasets. IEEE BigData Berkay Aydin, Ahmet Küçük, Rafal A. Angryk
2016	J	`jnl`	Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations. ACM Trans. Spatial Algorithms Syst. Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Dustin Kempton, Berkay Aydin, Petrus C. Martens
2016	J	`jnl`	Mining spatiotemporal co-occurrence patterns in non-relational databases. GeoInformatica Berkay Aydin, Vijay Akkineni, Rafal A. Angryk
2016	—	`conf`	Neural Video Compression Based on RBM Scene Change Detection Algorithm. ICAISC (2) Michal Knop, Tomasz Kapuscinski, Wojciech K. Mleczko, Rafal A. Angryk
2016	—	`conf`	On the theory and practice of high-dimensional data indexing with iDistance. IEEE BigData Michael A. Schuh, Rafal A. Angryk
2016	—	`conf`	Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories. BDCloud-SocialCom-SustainCom Ahmet Küçük, Shah Muhammad Hamdi, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk
2016	—	`conf`	Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets. BDCloud-SocialCom-SustainCom Vijay Akkineni, Berkay Aydin, Sajitha Naduvil-Vadukootu, Rafal A. Angryk
2016	—	`conf`	Rough Restricted Boltzmann Machine - New Architecture for Incomplete Input Data. ICAISC (1) Wojciech K. Mleczko, Robert K. Nowicki, Rafal A. Angryk
2016	—	`conf`	SOLEV: a video generation framework for solar events from mixed data sources (demo paper). SIGSPATIAL/GIS Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Rafal A. Angryk
2016	J	`jnl`	SPARQL queries on RDF with fuzzy constraints and preferences. J. Intell. Fuzzy Syst. Ruizhe Ma, Xiangyue Jia, Jingwei Cheng, Rafal A. Angryk
2016	—	`conf`	Spatio-temporal interpolation methods for solar events metadata. IEEE BigData Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Rafal A. Angryk
2016	B	`conf`	Spatiotemporal event sequence mining from evolving regions. ICPR Berkay Aydin, Rafal A. Angryk
2016	—	`conf`	The SMART approach to comprehensive quality assessment of site-based spatial-temporal data. IEEE BigData Rafal A. Angryk, Douglas E. Galarus
2016	—	`conf`	Towards Feature Selection for Appearance Models in Solar Event Tracking. ICAISC (2) Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk
2015	J	`jnl`	Mining spatiotemporal co-occurrence patterns in solar datasets. Astron. Comput. Berkay Aydin, Dustin Kempton, Vijay Akkineni, Rafal A. Angryk, Karthik Ganesan Pillai
2015	J	`jnl`	On visualization techniques for solar data mining. Astron. Comput. Michael A. Schuh, Juan M. Banda, Tim Wylie, Patrick McInerney, Karthik Ganesan Pillai, Rafal A. Angryk
2015	J	`jnl`	Regional content-based image retrieval for solar images: Traditional versus modern methods. Astron. Comput. Juan M. Banda, Rafal A. Angryk
2015	J	`jnl`	Solar image parameter data from the SDO: Long-term curation and data mining. Astron. Comput. Michael A. Schuh, Rafal A. Angryk, Petrus C. Martens
2015	—	`conf`	Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions. ICDM Workshops Berkay Aydin, Rafal A. Angryk
2015	J	`jnl`	Special Section: Management, Search and Analysis of Solar Astronomy Big Data. Astron. Comput. Rafal A. Angryk, André Csillaghy, Petrus C. Martens
2015	—	`conf`	Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics. SIGSPATIAL/GIS Berkay Aydin, Vijay Akkineni, Rafal A. Angryk
2015	J	`jnl`	Tracking Solar Events through Iterative Refinement. Astron. Comput. Dustin J. Kempton, Rafal A. Angryk
2015	—	`conf`	Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images. ICDM Workshops Juan M. Banda, Rafal A. Angryk
2014	Misc	`conf`	Approximating High-Dimensional Range Queries with kNN Indexing Techniques. COCOON Michael A. Schuh, Tim Wylie, Chang Liu, Rafal A. Angryk
2014	Misc	`conf`	ERMO-DG: Evolving Region Moving Object Dataset Generator. FLAIRS Berkay Aydin, Rafal A. Angryk, Karthik Ganesan Pillai
2014	—	`conf`	Image retrieval on compressed images: Can we tell the difference? IPTA Juan M. Banda, Rafal A. Angryk, Michael A. Schuh, Petrus C. Martens
2014	—	`conf`	Iterative refinement of multiple targets tracking of solar events. IEEE BigData Dustin Kempton, Karthik Ganesan Pillai, Rafal A. Angryk
2014	—	`conf`	Large-Scale Region-Based Multimedia Retrieval for Solar Images. ICAISC (1) Juan M. Banda, Rafal A. Angryk
2014	—	`conf`	Massive labeled solar image data benchmarks for automated feature recognition. IEEE BigData Michael A. Schuh, Rafal A. Angryk
2014	Misc	`conf`	Mitigating the Curse of Dimensionality for Exact kNN Retrieval. FLAIRS Michael A. Schuh, Tim Wylie, Rafal A. Angryk
2014	—	`conf`	Quality control from the perspective of a near-real-time, spatial-temporal data aggregator and (re)distributor. SIGSPATIAL/GIS Douglas E. Galarus, Rafal A. Angryk
2014	—	`conf`	Scalable solar image Retrieval with Lucene. IEEE BigData Juan M. Banda, Rafal A. Angryk
2014	—	`conf`	Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns. IEEE BigData Berkay Aydin, Dustin Kempton, Vijay Akkineni, Shaktidhar Reddy Gopavaram, Karthik Ganesan Pillai, Rafal A. Angryk
2014	—	`conf`	Storing Long-Lived Concurrent Schema and Data Versions in Relational Databases. ADBIS (2) Bob Wall, Rafal A. Angryk
2013	—	`conf`	A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing. BNCOD Michael A. Schuh, Tim Wylie, Juan M. Banda, Rafal A. Angryk
2013	—	`conf`	A filter-and-refine approach to mine spatiotemporal co-occurrences. SIGSPATIAL/GIS Karthik Ganesan Pillai, Rafal A. Angryk, Berkay Aydin
2013	B	`conf`	A large-scale solar image dataset with labeled event regions. ICIP Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Juan M. Banda, Petrus C. Martens
2013	J	`jnl`	Abstracting for Dimensionality Reduction in Text Classification. Int. J. Intell. Syst. Richard A. McAllister, Rafal A. Angryk
2013	—	`conf`	Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events. ADBIS (2) Juan M. Banda, Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Patrick McInerney
2013	Misc	`conf`	Cluster Analysis for Optimal Indexing. FLAIRS Tim Wylie, Michael A. Schuh, John W. Sheppard, Rafal A. Angryk
2013	J	`jnl`	Comparison of two kinds of fuzzy arithmetic, LR and OFN, applied to fuzzy observation of the cofferdam water level. Comput. Sci. Jacek M. Czerniak, Wojciech T. Dobrosielski, Rafal A. Angryk
2013	—	`conf`	Extending High-Dimensional Indexing Techniques Pyramid and iMinMax(θ): Lessons Learned. BNCOD Karthik Ganesan Pillai, Liessman Sturlaugson, Juan M. Banda, Rafal A. Angryk
2013	C	`conf`	Improving the Performance of High-Dimensional kNN Retrieval through Localized Dataspace Segmentation and Hybrid Indexing. ADBIS Michael A. Schuh, Tim Wylie, Rafal A. Angryk
2013	—	`conf`	Mining robust neighborhoods for quality control of sensor data. IWGS Douglas E. Galarus, Rafal A. Angryk
2013	—	`conf`	On Using SIFT Descriptors for Image Parameter Evaluation. ICDM Workshops Patrick M. McInerney, Juan M. Banda, Rafal A. Angryk
2013	—	`conf`	Region-Based Querying of Solar Data Using Descriptor Signatures. ICDM Workshops Juan M. Banda, Chang Liu, Rafal A. Angryk
2013	—	`conf`	Spatiotemporal Co-occurrence Rules. ADBIS (2) Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Tim Wylie, Michael A. Schuh
2013	—	`conf`	When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System. ADBIS (2) Juan M. Banda, Michael A. Schuh, Tim Wylie, Patrick McInerney, Rafal A. Angryk
2012	Misc	`conf`	Automated Weather Sensor Quality Control. FLAIRS Douglas E. Galarus, Rafal A. Angryk, John W. Sheppard
2012	Misc	`conf`	Evolving Kernel Functions with Particle Swarms and Genetic Programming. FLAIRS Michael A. Schuh, Rafal A. Angryk, John W. Sheppard
2012	Misc	`conf`	Quantitative Comparison of Linear and Non-linear Dimensionality Reduction Techniques for Solar Image Archives. FLAIRS Juan M. Banda, Rafal A. Angryk, Petrus C. Martens
2012	—	`conf`	Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions. ICDM Workshops Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Michael A. Schuh, Tim Wylie
2011	J	`jnl`	Heuristic Algorithm for Interpretation of Non-Atomic Categorical Attributes in Similarity-based Fuzzy Databases - Scalability Evaluation CoRR Mahmud Shahriar Hossain, Rafal A. Angryk
2011	—	`conf`	Minimal data sets vs. synchronized data copies in a schema and data versioning system. PIKM@CIKM Bob Wall, Rafal A. Angryk
2011	B	`conf`	On the surprisingly accurate transfer of image parameters between medical and solar images. ICIP Juan M. Banda, Rafal A. Angryk, Petrus C. Martens
2011	C	`conf`	Semantically-Guided Clustering of Text Documents via Frequent Subgraphs Discovery. ISMIS Rafal A. Angryk, Mahmud Shahriar Hossain, Brandon Norick
2010	Misc	`conf`	An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image Categorization. FLAIRS Juan M. Banda, Rafal A. Angryk
2010	J	`jnl`	Heuristic algorithm for interpretation of multi-valued attributes in similarity-based fuzzy relational databases. Int. J. Approx. Reason. Rafal A. Angryk, Jacek M. Czerniak
2010	Misc	`conf`	Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory. DICTA Juan M. Banda, Rafal A. Angryk
2010	—	`conf`	Usage of Dissimilarity Measures and Multidimensional Scaling for Large Scale Solar Data Analysis. CIDU Juan M. Banda, Rafal A. Angryk
2010	—	`conf`	Using Taxonomies to Perform Aggregated Querying over Imprecise Data. ICDM Workshops Atanu Roy, Chandrima Sarkar, Rafal A. Angryk
2009	—	`conf`	An Abstraction-Based Data Model for Information Retrieval. Australasian Conference on Artificial Intelligence Richard A. McAllister, Rafal A. Angryk
2009	B	`conf`	On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images. FUZZ-IEEE Juan M. Banda, Rafal A. Angryk
2008	B	`conf`	An example based image retrieval system for the TRACE repository. ICPR Robbie Lamb, Rafal A. Angryk, Piet Martiens
2008	—	`conf`	Frequent pattern-growth approach for document organization. ONISW Monika Akbar, Rafal A. Angryk
2008	—	`ch.`	Generating Concept Hierarchies from User Queries. Data Mining: Foundations and Practice Bob Wall, Neal Richter, Rafal A. Angryk
2007	—	`conf`	Algorithm for Interpretation of Multi-valued Taxonomic Attributes in Similarity-Based Fuzzy Databases. IFSA (2) Mahmud Shahriar Hossain, Rafal A. Angryk
2007	J	`jnl`	Attribute-oriented fuzzy generalization in proximity- and similarity-based relational database systems. Int. J. Intell. Syst. Rafal A. Angryk, Frederick E. Petry
2007	C	`conf`	Distributed Document Clustering Using Word-clusters. CIDM Debzani Deb, Rafal A. Angryk
2007	—	`conf`	GDClust: A Graph-Based Document Clustering Technique. ICDM Workshops Mahmud Shahriar Hossain, Rafal A. Angryk
2007	B	`conf`	Measuring semantic similarity using wordnet-based context vectors. SMC Shen Wan, Rafal A. Angryk
2007	B	`conf`	Sense based organization of descriptive data. SMC Mahmud Shahriar Hossain, Monika Akbar, Rafal A. Angryk
2006	—	`conf`	Automated Generalization of Fuzzy Concept Hierarchies for Attribute-Oriented Induction Purposes. Databases and Applications Jacob Dolan, Rafal A. Angryk
2006	—	`conf`	Distributed hierarchical document clustering. ACST Debzani Deb, M. Muztaba Fuad, Rafal A. Angryk
2006	—	`ch.`	Knowledge Discovery in Fuzzy Databases Using Attribute-Oriented Induction. Foundations and Novel Approaches in Data Mining Rafal A. Angryk, Frederick E. Petry
2006	Misc	`conf`	On Interpretation of Non-atomic Values and Induction of Decision Rules in Fuzzy Relational Databases. ICAISC Rafal A. Angryk
2006	B	`conf`	Similarity-driven Defuzzification of Fuzzy Tuples for Entropy-based Data Classification Purposes. FUZZ-IEEE Rafal A. Angryk
2005	B	`conf`	Mining Multi-Level Associations with Fuzzy Hierarchies. FUZZ-IEEE Rafal A. Angryk, Frederick E. Petry
2004	A*	`conf`	Fuzzy Induction in Dynamic User Profiling for Information Filtering. AAAI Rafal A. Angryk, Costin Barbu
2004	—	`conf`	Information filtering via fuzzy hierarchical induction. SMC (4) Costin Barbu, Rafal A. Angryk, Frederick E. Petry, Marin Simina
2002	—	`conf`	Travel Support System - an Agent-Biased Framework. International Conference on Internet Computing Rafal A. Angryk, Violetta Galant, Minor Gordon, Marcin Paprzycki
2001	J	`jnl`	MICO, An Open Source CORBA Implementation. Parallel Distributed Comput. Pract. Rafal A. Angryk