| 2025 | ICDM | Uncertainty-Aware Solar Flare Regression. | Jinsu Hong, Chetraj Pandey, Berkay Aydin |
| 2025 | ICDM | Enhancing Explainability in Solar Energetic Particle Event Prediction: A Global Feature Mapping Approach. | Anli Ji, Pranjal Patil, Chetraj Pandey, Manolis K. Georgoulis, Berkay Aydin |
| 2025 | ICDM | Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction. | Chetraj Pandey, Jinsu Hong, Anli Ji, Rafal A. Angryk, Berkay Aydin |
| 2025 | ICDM | Exploring Temporal and Regularization Frameworks for Atmospheric Wind Layer Prediction from Speckle Imaging. | Vignesh Kumar Pandian Sathia, Nick Murphy, Ruchir Namjoshi, Dustin Kempton, Stuart Jefferies, Berkay Aydin |
| 2025 | ICMLA | A Multimodal Machine Learning Approach for Solar Flare Prediction Using Polarity Inversion Lines Data with Low-Rank Fusion. | Ziba Khani, Reza Mansouri, Rafal A. Angryk, Berkay Aydin |
| 2024 | DaWaK | Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF. | Anli Ji, Chetraj Pandey, Berkay Aydin |
| 2024 | DSAA | Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. | Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin |
| 2023 | DaWaK | Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions. | Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin |
| 2023 | DIS | Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting. | Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin |
| 2023 | DSAA | 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 |
| 2023 | ICMLA | An Innovative Solar Flare Metadata Collection for Space Weather Analytics. | Jinsu Hong, Chetraj Pandey, Anli Ji, Berkay Aydin |
| 2023 | ICMLA | Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. | Chetraj Pandey, Rafal A. Angryk, Berkay Aydin |
| 2022 | ICPR | Solar Flare Forecasting with Deep Learning-based Time Series Classifiers. | Anli Ji, Junzhi Wen, Rafal A. Angryk, Berkay Aydin |
| 2020 | ICPR | A Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets. | Xumin Cai, Berkay Aydin, Anli Ji, Rafal A. Angryk |
| 2019 | ICMLA | Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting. | Azim Ahmadzadeh, Berkay Aydin, Dustin J. Kempton, Maxwell Hostetter, Rafal A. Angryk, Manolis K. Georgoulis, Sushant S. Mahajan |
| 2018 | ICPR | Scalable kNN Search Approximation for Time Series Data. | Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk |
| 2017 | ICDM | Top-(R%, K) Spatiotemporal Event Sequence Mining. | Berkay Aydin, Ahmet Kk, Soukaina Filali Boubrahimi, Rafal A. Angryk |
| 2017 | ICDM | Cultivating Evolving Region Trajectory Datasets. | Sajitha Naduvil-Vadukootu, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk |
| 2016 | ICDM | A Graph-Based Approach to Spatiotemporal Event Sequence Mining. | Berkay Aydin, Rafal A. Angryk |
| 2016 | ICDM | A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns. | Shah Muhammad Hamdi, Berkay Aydin, Rafal A. Angryk |
| 2016 | ICPR | Spatiotemporal event sequence mining from evolving regions. | Berkay Aydin, Rafal A. Angryk |
| 2016 | ICPR | Automatic personality prediction from audiovisual data using random forest regression. | Berkay Aydin, Ahmet Alp Kindiroglu, Oya Aran, Lale Akarun |
| 2015 | ICDM | Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions. | Berkay Aydin, Rafal A. Angryk |
| 2014 | FlAIRS | ERMO-DG: Evolving Region Moving Object Dataset Generator. | Berkay Aydin, Rafal A. Angryk, Karthik Ganesan Pillai |