Review of solar energetic particle models K Whitman, R Egeland, IG Richardson, C Allison, P Quinn, J Barzilla, ... Advances in Space Research, 2022 | 23 | 2022 |
All-clear flare prediction using interval-based time series classifiers A Ji, B Aydin, MK Georgoulis, R Angryk 2020 IEEE International Conference on Big Data (Big Data), 4218-4225, 2020 | 14 | 2020 |
Towards coupling full-disk and active region-based flare prediction for operational space weather forecasting C Pandey, A Ji, RA Angryk, MK Georgoulis, B Aydin Frontiers in Astronomy and Space Sciences 9, 897301, 2022 | 8 | 2022 |
A framework for local outlier detection from spatio-temporal trajectory datasets X Cai, B Aydin, A Ji, R Angryk 2020 25th International Conference on Pattern Recognition (ICPR), 5682-5689, 2021 | 5 | 2021 |
A Modular Approach to Building Solar Energetic Particle Event Forecasting Systems A Ji, A Arya, D Kempton, R Angryk, MK Georgoulis, B Aydin 2021 IEEE International Conference on Cognitive Machine Intelligence (COGMI), 0 | 4* | |
Beyond traditional flare forecasting: A data-driven labeling approach for high-fidelity predictions J Hong, A Ji, C Pandey, B Aydin International Conference on Big Data Analytics and Knowledge Discovery, 380-385, 2023 | 3 | 2023 |
A Systematic Magnetic Polarity Inversion Line Data Set from SDO/HMI Magnetograms A Ji, X Cai, N Khasayeva, MK Georgoulis, PC Martens, RA Angryk, ... The Astrophysical Journal Supplement Series 265 (1), 28, 2023 | 3 | 2023 |
A framework for detecting polarity inversion lines from longitudinal magnetograms X Cai, B Aydin, A Ji, MK Georgoulis, R Angryk 2020 IEEE International Conference on Big Data (Big Data), 4175-4183, 2020 | 3 | 2020 |
Local outlier detection for multi-type spatio-temporal trajectories X Cai, B Aydin, S Maydeo, A Ji, R Angryk 2020 IEEE International Conference on Big Data (Big Data), 4509-4518, 2020 | 3 | 2020 |
Exploring heuristics in full-disk aggregation from individual active region prediction of solar flares C Pandey, B Aydin, A Ji, RA Angryk, MK Georgoulis 44th COSPAR Scientific Assembly. Held 16-24 July 44, 3457, 2022 | 2 | 2022 |
Exploring deep learning for full-disk solar flare prediction with empirical insights from guided grad-cam explanations C Pandey, A Ji, T Nandakumar, RA Angryk, B Aydin 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | 1 | 2023 |
Solar Flare Forecasting with Deep Learning-based Time Series Classifiers A Ji, J Wen, R Angryk, B Aydin 2022 26th International Conference on Pattern Recognition (ICPR), 2907-2913, 2022 | 1 | 2022 |
CGAN-based synthetic multivariate time-series generation: a solution to data scarcity in solar flare forecasting Y Chen, DJ Kempton, A Ahmadzadeh, J Wen, A Ji, RA Angryk Neural Computing and Applications 34 (16), 13339-13353, 2022 | 1 | 2022 |
Training and Deployment of Predictive Models for Space Weather Forecasting: An Application on Full-disk and Active Region-based Flare Prediction C Pandey, A Ji, R Angryk, B Aydin AGU Fall Meeting Abstracts 2021, SH55A-1825, 2021 | 1 | 2021 |
On the effectiveness of imaging of time series for flare forecasting problem Y Chen, A Ji, PA Babajiyavar, A Ahmadzadeh, RA Angryk 2020 IEEE International Conference on Big Data (Big Data), 4184-4191, 2020 | 1 | 2020 |
ML-Ready Benchmark Data Sets for Predicting Solar Flares and Eruptions: Necessity and Promise MK Georgoulis, J Hong, A Ji, C Pandey, S Rotti, J Wen, PC Martens, ... AGU23, 2023 | | 2023 |
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks C Pandey, A Ji, RA Angryk, B Aydin arXiv preprint arXiv:2309.04558, 2023 | | 2023 |
Exploratory Analysis of Magnetic Polarity Inversion Line Metadata and Eruptive Characteristics of Solar Active Regions B Aydin, A Ji, N Khasayeva, RA Angryk, P Martens, MK Georgoulis 44th COSPAR Scientific Assembly. Held 16-24 July 44, 3223, 2022 | | 2022 |
Extending the Capabilities of Operational Flare Forecasting BA Shruti Shrestha, Chetraj Pandey, Anli Ji, Rafal Angryk 2022 EarthCube Annual Meeting, 2022 | | 2022 |
Magnetic Polarity Inversion Line Detection and Analysis Tool A Ji, N Khasayeva, X Cai, M K. Georgoulis, P C. Martens, R A. Angryk, ... EarthCube 2022 Notebooks, 2022 | | 2022 |