Anli Ji

According to our database, Anli Ji authored at least 16 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

An Innovative Solar Flare Metadata Collection for Space Weather Analytics.

Jinsu Hong, Chetraj Pandey, Anli Ji, Berkay Aydin

Proceedings of the International Conference on Machine Learning and Applications, 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

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions.

Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

Active Region-Based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers.

Anli Ji, Berkay Aydin

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

Enhancing Solar Flare Prediction with Innovative Data-Driven Labels.

Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

Interpretable Solar Flare Prediction with Sliding Window Multivariate Time Series Forests.

Anli Ji, Berkay Aydin

Proceedings of the IEEE International Conference on Big Data, 2023

Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks.

Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin

Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023

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

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

Solar Flare Forecasting with Deep Learning-based Time Series Classifiers.

Anli Ji, Junzhi Wen, Rafal A. Angryk, Berkay Aydin

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

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

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

2020

A Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets.

Xumin Cai, Berkay Aydin, Anli Ji, Rafal A. Angryk

Proceedings of the 25th International Conference on Pattern Recognition, 2020

All-Clear Flare Prediction Using Interval-based Time Series Classifiers.

Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 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

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Local Outlier Detection for Multi-type Spatio-temporal Trajectories.

Xumin Cai, Berkay Aydin, Saurabh Maydeo, Anli Ji, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Framework for Detecting Polarity Inversion Lines from Longitudinal Magnetograms.

Xumin Cai, Berkay Aydin, Anli Ji, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020