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ORCIDRafal A. Angryk
- > Home > Persons > Rafal A. Angryk
Publications
- 2023
[j24]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): 1501-1513 (2023)- 2022
- [j22]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): 13339-13353 (2022) - [c126]Junzhi Wen, Md Reazul Islam, Azim Ahmadzadeh, Rafal A. Angryk:
Improving Solar Flare Prediction by Time Series Outlier Detection. ICAISC (2) 2022: 152-164 - [c125]Azim Ahmadzadeh, Rafal A. Angryk:
Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics. ICIP 2022: 51-55 - [c123]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: 87-102 - [i13]Junzhi Wen, Md Reazul Islam, Azim Ahmadzadeh, Rafal A. Angryk:
Improving Solar Flare Prediction by Time Series Outlier Detection. CoRR abs/2206.07197 (2022) - [i12]Azim Ahmadzadeh, Rafal A. Angryk:
Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics. CoRR abs/2206.09981 (2022) - 2021
- [c119]Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Rafal A. Angryk:
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting. ICAISC (1) 2021: 296-307 - [c118]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: 684-688 - [c117]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: 1067-1076 - [i10]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 abs/2103.07542 (2021) - [i8]Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Rafal A. Angryk:
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting. CoRR abs/2105.07532 (2021) - [i7]Azim Ahmadzadeh, Dustin J. Kempton, Yang Chen, Rafal A. Angryk:
Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures. CoRR abs/2105.14572 (2021) - [i6]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. CoRR abs/2109.14770 (2021) - 2020
- [j19]Azim Ahmadzadeh, Kankana Sinha, Berkay Aydin, Rafal A. Angryk:
MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data. SoftwareX 12: 100518 (2020) - [c113]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: 4184-4191 - [c112]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: 4200-4207 - [c108]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: 4586-4593 - [i5]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:
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. CoRR abs/2006.12224 (2020) - 2019
- [c106]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: 1423-1431 - [c105]Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton, Rafal A. Angryk, Shihao Ji:
Toward Filament Segmentation Using Deep Neural Networks. IEEE BigData 2019: 4932-4941 - [c103]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: 4960-4966 - [c102]Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Manolis K. Georgoulis, Rafal A. Angryk:
Solar Pre-Flare Classification with Time Series Profiling. IEEE BigData 2019: 4967-4976 - [c100]Ruizhe Ma, Azim Ahmadzadeh, Soukaïna Filali Boubrahimi, Rafal A. Angryk:
A Scalable Segmented Dynamic Time Warping for Time Series Classification. ICAISC (2) 2019: 407-419 - [c98]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: 1814-1820 - [i4]Azim Ahmadzadeh, Dustin J. Kempton, Rafal A. Angryk:
A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission. CoRR abs/1906.01062 (2019) - [i3]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 abs/1911.09061 (2019) - [i2]Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton, Rafal A. Angryk, Shihao Ji:
Toward Filament Segmentation Using Deep Neural Networks. CoRR abs/1912.02743 (2019) - 2018
- [c93]Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A. Angryk:
Segmentation of Time Series in Improving Dynamic Time Warping. IEEE BigData 2018: 3756-3761 - 2017
- [c88]Azim Ahmadzadeh, Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk:
Improving the functionality of tamura directionality on solar images. IEEE BigData 2017: 2518-2526
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