Rafal A. Angryk

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 111

Top Venues

Publications

Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
Advancing Solar Flare Prediction using Deep Learning with Active Region Patches. CoRR (2024)
Yang Chen, Dustin J. Kempton, Rafal A. Angryk
FFAD: A Novel Metric for Assessing Generated Time Series Data Utilizing Fourier Transform and Auto-encoder. CoRR (2024)
Junzhi Wen, Rafal A. Angryk
Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction. CoRR (2024)
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods. CoRR (2023)
Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. AIKE (2023)
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods. ECML/PKDD (7) (2023)
Yang Chen, Dustin J. Kempton, Rafal A. Angryk
Examining Effects of Class Imbalance on Conditional GAN Training. ICAISC (1) (2023)
Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. DSAA (2023)
Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting. DS (2023)
Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting. CoRR (2023)
Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. CoRR (2023)
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. CoRR (2023)
Azim Ahmadzadeh, Dustin J. Kempton, Petrus C. Martens, Rafal A. Angryk
Contingency Space: A Semimetric Space for Classification Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. CoRR (2023)
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. ICMLA (2023)
Junzhi Wen, Md Reazul Islam, Azim Ahmadzadeh, Rafal A. Angryk
Improving Solar Flare Prediction by Time Series Outlier Detection. ICAISC (2) (2022)
Junzhi Wen, Md Reazul Islam, Azim Ahmadzadeh, Rafal A. Angryk
Improving Solar Flare Prediction by Time Series Outlier Detection. CoRR (2022)
Azim Ahmadzadeh, Yang Chen, Krishna Rukmini Puthucode, Ruizhe Ma, Rafal A. Angryk
TS-MIoU: A Time Series Similarity Metric Without Mapping. ECML/PKDD (6) (2022)
Azim Ahmadzadeh, Rafal A. Angryk
Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics. CoRR (2022)
Azim Ahmadzadeh, Rafal A. Angryk
Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics. ICIP (2022)
Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Junzhi Wen, Anli Ji, Rafal A. Angryk
CGAN-based synthetic multivariate time-series generation: a solution to data scarcity in solar flare forecasting. Neural Comput. Appl. 34 (16) (2022)
Ruizhe Ma, Rafal A. Angryk, Rafal Scherer
Special issue on deep learning for time series data. Neural Comput. Appl. 34 (16) (2022)
Chetraj Pandey, Anli Ji, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting. CoRR (2022)
Anli Ji, Junzhi Wen, Rafal A. Angryk, Berkay Aydin
Solar Flare Forecasting with Deep Learning-based Time Series Classifiers. ICPR (2022)
Ruizhe Ma, Rafal A. Angryk
Tiered Clustering for Time Series Data. Deep-BDB (2021)
Azim Ahmadzadeh, Dustin J. Kempton, Yang Chen, Rafal A. Angryk
Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures. CoRR (2021)
Anli Ji, Akhil Arya, Dustin Kempton, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
A Modular Approach to Building Solar Energetic Particle Event Forecasting Systems. CogMI (2021)
Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Rafal A. Angryk
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting. CoRR (2021)
Atharv Yeoleka, Sagar Patel, Shreejaa Talla, Krishna Rukmini Puthucode, Azim Ahmadzadeh, Viacheslav M. Sadykov, Rafal A. Angryk
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods. CoRR (2021)
Azim Ahmadzadeh, Dustin J. Kempton, Yang Chen, Rafal A. Angryk
Multiscale IOU: A Metric for Evaluation of Salient Object Detection with Fine Structures. ICIP (2021)
Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Rafal A. Angryk
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting. ICAISC (1) (2021)
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
Deep Neural Networks Based Solar Flare Prediction Using Compressed Full-disk Line-of-sight Magnetograms. SIMBig (2021)
Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk
All-Clear Flare Prediction Using Interval-based Time Series Classifiers. CoRR (2021)
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms. IEEE BigData (2021)
Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events. CoRR (2021)
Atharv Yeolekar, Sagar Patel, Shreejaa Talla, Krishna Rukmini Puthucode, Azim Ahmadzadeh, Viacheslav M. Sadykov, Rafal A. Angryk
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods. ICDM (Workshops) (2021)
Berkay Aydin, Soukaina Filali Boubrahimi, Ahmet Küçük, Bita Nezamdoust, Rafal A. Angryk
Spatiotemporal event sequence discovery without thresholds. GeoInformatica 25 (1) (2021)
Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk
All-Clear Flare Prediction Using Interval-based Time Series Classifiers. IEEE BigData (2020)
Xumin Cai, Berkay Aydin, Saurabh Maydeo, Anli Ji, Rafal A. Angryk
Local Outlier Detection for Multi-type Spatio-temporal Trajectories. IEEE BigData (2020)
Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Ruizhe Ma, Rafal A. Angryk
On the Mining of the Minimal Set of Time Series Data Shapelets. IEEE BigData (2020)
Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk
Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks. IEEE BigData (2020)
Xumin Cai, Berkay Aydin, Anli Ji, Rafal A. Angryk
A Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets. ICPR (2020)
Xumin Cai, Berkay Aydin, Anli Ji, Manolis K. Georgoulis, Rafal A. Angryk
A Framework for Detecting Polarity Inversion Lines from Longitudinal Magnetograms. IEEE BigData (2020)
Marcin Korytkowski, Roman Senkerik, Magdalena M. Scherer, Rafal A. Angryk, Miroslaw Kordos, Agnieszka Siwocha
Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic. J. Artif. Intell. Soft Comput. Res. 10 (1) (2020)
Maxwell Hostetter, Rafal A. Angryk
First Steps Toward Synthetic Sample Generation for Machine Learning Based Flare Forecasting. IEEE BigData (2020)
Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk
Deep Neural Network-based Active Region Magnetogram Patch Super Resolution. IEEE BigData (2020)
Yang Chen, Anli Ji, Pavan Ajit Babajiyavar, Azim Ahmadzadeh, Rafal A. Angryk
On The Effectiveness of Imaging of Time Series for Flare Forecasting Problem. IEEE BigData (2020)
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 Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. CoRR (2020)
Azim Ahmadzadeh, Kankana Sinha, Berkay Aydin, Rafal A. Angryk
MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data. SoftwareX 12 (2020)
Maxwell Hostetter, Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Rafal A. Angryk
Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis. IEEE BigData (2019)
Xumin Cai, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk
An Application of Spatio-temporal Co-occurrence Analyses for Integrating Solar Active Region Data from Multiple Reporting Modules. IEEE BigData (2019)
Shah Muhammad Hamdi, Rafal A. Angryk
Interpretable Feature Learning of Graphs using Tensor Decomposition. ICDM (2019)
Azim Ahmadzadeh, Dustin J. Kempton, Rafal A. Angryk
A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission. CoRR (2019)
Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton, Rafal A. Angryk, Shihao Ji
Toward Filament Segmentation Using Deep Neural Networks. CoRR (2019)
Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton, Rafal A. Angryk, Shihao Ji
Toward Filament Segmentation Using Deep Neural Networks. IEEE BigData (2019)
Shah Muhammad Hamdi, Yubao Wu, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris
Identification of Discriminative Subnetwork from fMRI-Based Complete Functional Connectivity Networks. Int. J. Semantic Comput. 13 (1) (2019)
Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data. IEEE BigData (2019)
Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data. CoRR (2019)
Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Manolis K. Georgoulis, Rafal A. Angryk
Solar Pre-Flare Classification with Time Series Profiling. IEEE BigData (2019)
Ruizhe Ma, Azim Ahmadzadeh, Soukaïna Filali Boubrahimi, Rafal A. Angryk
A Scalable Segmented Dynamic Time Warping for Time Series Classification. ICAISC (2) (2019)
Azim Ahmadzadeh, Berkay Aydin, Dustin J. Kempton, Maxwell Hostetter, Rafal A. Angryk, Manolis K. Georgoulis, Sushant S. Mahajan
Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting. ICMLA (2019)
Shah Muhammad Hamdi, Soukaina Filali Boubrahimi, Rafal A. Angryk
Tensor Decomposition-based Node Embedding. CIKM (2019)
Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Rafal A. Angryk
Neuro-Ensemble. AIKE (2018)
Shah Muhammad Hamdi, Berkay Aydin, Soukaina Filali Boubrahimi, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris
Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks. AIKE (2018)
Shah Muhammad Hamdi, Yubao Wu, Soukaina Filali Boubrahimi, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris
Tensor Decomposition for Neurodevelopmental Disorder Prediction. BI (2018)
Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk
Time Series Distance Density Cluster with Statistical Preprocessing. DaWaK (2018)
Soukaina Filali Boubrahimi, Rafal A. Angryk
Heuristics Significance of Neuro-Ensemble-based Time Series Classification. IEEE BigData (2018)
Douglas E. Galarus, Rafal A. Angryk
Beyond accuracy - A SMART approach to site-based spatio-temporal data quality assessment. Intell. Data Anal. 22 (1) (2018)
Soukaina Filali Boubrahimi, Rafal A. Angryk
Multivariate Time Series Nearest Neighbor Search: A Case Study on Solar Flare Prediction. AIKE (2018)
Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk
Scalable kNN Search Approximation for Time Series Data. ICPR (2018)
Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A. Angryk
Segmentation of Time Series in Improving Dynamic Time Warping. IEEE BigData (2018)
Soukaina Filali Boubrahimi, Ruizhe Ma, Rafal A. Angryk
Neuro-Ensemble for Time Series Data Classification. DSAA (2018)
Berkay Aydin, Ahmet Küçük, Rafal A. Angryk, Petrus C. Martens
Measuring the Significance of Spatiotemporal Co-Occurrences. ACM Trans. Spatial Algorithms Syst. 3 (3) (2017)
Berkay Aydin, Ahmet Küçük, Soukaina Filali Boubrahimi, Rafal A. Angryk
Top-(R%, K) Spatiotemporal Event Sequence Mining. ICDM Workshops (2017)
Ruizhe Ma, Rafal A. Angryk
Distance and Density Clustering for Time Series Data. ICDM Workshops (2017)
Ruizhe Ma, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Rafal A. Angryk
Solar flare prediction using multivariate time series decision trees. IEEE BigData (2017)
Sajitha Naduvil-Vadukootu, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk
Cultivating Evolving Region Trajectory Datasets. ICDM Workshops (2017)
Azim Ahmadzadeh, Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk
Improving the functionality of tamura directionality on solar images. IEEE BigData (2017)
Ahmet Küçük, Berkay Aydin, Rafal A. Angryk
Multi-wavelength solar event detection using faster R-CNN. IEEE BigData (2017)
Ahmet Küçük, Juan M. Banda, Rafal A. Angryk
Solar Event Classification Using Deep Convolutional Neural Networks. ICAISC (1) (2017)
Michael A. Schuh, Dustin Kempton, Rafal A. Angryk
A Region-Based Retrieval System for Heliophysics Imagery. FLAIRS Conference (2017)
Soukaina Filali Boubrahimi, Berkay Aydin, Petrus C. Martens, Rafal A. Angryk
100 MeV solar energetic particle events using GOES satellite data. IEEE BigData (2017)
Shah Muhammad Hamdi, Dustin Kempton, Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk
A time series classification-based approach for solar flare prediction. IEEE BigData (2017)
Sajitha Naduvil-Vadukootu, Rafal A. Angryk, Pete Riley
Evaluating Preprocessing Strategies for Time Series Prediction using Deep Learning Architectures. FLAIRS Conference (2017)
Mariusz Zebik, Marcin Korytkowski, Rafal A. Angryk, Rafal Scherer
Convolutional Neural Networks for Time Series Classification. ICAISC (2) (2017)
Ahmet Küçük, Berkay Aydin, Soukaina Filali Boubrahimi, Dustin Kempton, Rafal A. Angryk
An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities. SSTD (2017)
Sunitha Basodi, Berkay Aydin, Rafal A. Angryk
Parallel computation of magnetic field parameters from HMI active region patches. IEEE BigData (2017)
Michal Knop, Tomasz Kapuscinski, Rafal A. Angryk
Neural Video Compression Based on PVQ Algorithm. ICAISC (1) (2017)
Rafal A. Angryk, Douglas E. Galarus
The SMART approach to comprehensive quality assessment of site-based spatial-temporal data. IEEE BigData (2016)
Vijay Akkineni, Berkay Aydin, Sajitha Naduvil-Vadukootu, Rafal A. Angryk
Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets. BDCloud-SocialCom-SustainCom (2016)
Berkay Aydin, Vijay Akkineni, Rafal A. Angryk
Mining spatiotemporal co-occurrence patterns in non-relational databases. GeoInformatica 20 (4) (2016)
Ahmet Küçük, Shah Muhammad Hamdi, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk
Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories. BDCloud-SocialCom-SustainCom (2016)
Ruizhe Ma, Rafal A. Angryk, Pete Riley
A data-driven analysis of interplanetary coronal mass ejecta and magnetic flux ropes. IEEE BigData (2016)
Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Rafal A. Angryk
Spatio-temporal interpolation methods for solar events metadata. IEEE BigData (2016)
Michal Knop, Tomasz Kapuscinski, Wojciech K. Mleczko, Rafal A. Angryk
Neural Video Compression Based on RBM Scene Change Detection Algorithm. ICAISC (2) (2016)
Tim Wylie, Michael A. Schuh, Rafal A. Angryk
Enabling high-dimensional range queries using kNN indexing techniques: approaches and empirical results. J. Comb. Optim. 32 (4) (2016)
Berkay Aydin, Rafal A. Angryk
A Graph-Based Approach to Spatiotemporal Event Sequence Mining. ICDM Workshops (2016)
Michal Lagiewka, Rafal Scherer, Rafal A. Angryk
Color-Based Large-Scale Image Retrieval with Limited Hardware Resources. ICAISC (2) (2016)
Berkay Aydin, Rafal A. Angryk
Spatiotemporal event sequence mining from evolving regions. ICPR (2016)
Berkay Aydin, Ahmet Küçük, Rafal A. Angryk
Indexing spatiotemporal relations in solar event datasets. IEEE BigData (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rafal A. Angryk