A Framework for Detecting Polarity Inversion Lines from Longitudinal Magnetograms. - Xumin Cai; Berkay Aydin; Anli Ji; Manolis K. Georgoulis; Rafal A. Angryk (IEEE BigData, 2020)

Local Outlier Detection for Multi-type Spatio-temporal Trajectories. - Xumin Cai; Berkay Aydin; Saurabh Maydeo; Anli Ji; Rafal A. Angryk (IEEE BigData, 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 (IEEE BigData, 2020)

All-Clear Flare Prediction Using Interval-based Time Series Classifiers. - Anli Ji; Berkay Aydin; Manolis K. Georgoulis; Rafal A. Angryk (IEEE BigData, 2020)

A Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets. - Xumin Cai; Berkay Aydin; Anli Ji; Rafal A. Angryk (ICPR, 2020)

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 (CogMI, 2021)

Solar Flare Forecasting with Deep Learning-based Time Series Classifiers. - Anli Ji; Junzhi Wen; Rafal A. Angryk; Berkay Aydin (ICPR, 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)

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)

Magnetic Polarity Inversion Line Detection and Analysis Tool. - Anli Ji; Nigar Khasayeva; Xumin Cai; Manolis K. Georgoulis; Petrus C. Martens; Rafal A. Angryk; Berkay Aydin (Zenodo, 2022)

Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. - Chetraj Pandey; Anli Ji; Rafal A. Angryk; Berkay Aydin (AIKE, 2023)

Interpretable Solar Flare Prediction with Sliding Window Multivariate Time Series Forests. - Anli Ji; Berkay Aydin (IEEE Big Data, 2023)

Enhancing Solar Flare Prediction with Innovative Data-Driven Labels. - Jinsu Hong; Anli Ji; Chetraj Pandey; Berkay Aydin (CogMI, 2023)

Active Region-Based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers. - Anli Ji; Berkay Aydin (CogMI, 2023)

Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions. - Jinsu Hong; Anli Ji; Chetraj Pandey; Berkay Aydin (DaWaK, 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 (DSAA, 2023)

An Innovative Solar Flare Metadata Collection for Space Weather Analytics. - Jinsu Hong; Chetraj Pandey; Anli Ji; Berkay Aydin (ICMLA, 2023)

Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF. - Anli Ji; Chetraj Pandey; Berkay Aydin (DaWaK, 2024)

Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. - Chetraj Pandey; Anli Ji; Jinsu Hong; Rafal A. Angryk; Berkay Aydin (DSAA, 2024)