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Chetraj Pandey
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2020 – today
- 2024
- [c13]Anli Ji, Chetraj Pandey, Berkay Aydin:
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF. DaWaK 2024: 91-105 - [c12]Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin:
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. DSAA 2024: 1-10 - [c11]Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin:
Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches. ECML/PKDD (10) 2024: 50-65 - [i9]Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin:
Advancing Solar Flare Prediction using Deep Learning with Active Region Patches. CoRR abs/2406.11054 (2024) - [i8]Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin:
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. CoRR abs/2408.11768 (2024) - [i7]Anli Ji, Chetraj Pandey, Berkay Aydin:
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF. CoRR abs/2409.04542 (2024) - 2023
- [c10]Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin:
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. AIKE 2023: 83-90 - [c9]Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin:
Enhancing Solar Flare Prediction with Innovative Data-Driven Labels. CogMI 2023: 190-195 - [c8]Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin:
Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions. DaWaK 2023: 380-385 - [c7]Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin:
Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting. DS 2023: 567-581 - [c6]Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin:
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. DSAA 2023: 1-10 - [c5]Jinsu Hong, Chetraj Pandey, Anli Ji, Berkay Aydin:
An Innovative Solar Flare Metadata Collection for Space Weather Analytics. ICMLA 2023: 408-413 - [c4]Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. ICMLA 2023: 703-708 - [c3]Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods. ECML/PKDD (7) 2023: 72-89 - [i6]Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods. CoRR abs/2307.15878 (2023) - [i5]Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin:
Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting. CoRR abs/2308.02682 (2023) - [i4]Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin:
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. CoRR abs/2308.15712 (2023) - [i3]Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin:
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. CoRR abs/2309.04558 (2023) - [i2]Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. CoRR abs/2309.14483 (2023) - 2022
- [i1]Chetraj Pandey, Anli Ji, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin:
Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting. CoRR abs/2209.07406 (2022) - 2021
- [c2]Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms. IEEE BigData 2021: 1725-1730 - [c1]Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Deep Neural Networks Based Solar Flare Prediction Using Compressed Full-disk Line-of-sight Magnetograms. SIMBig 2021: 380-396
Coauthor Index
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last updated on 2024-11-07 21:31 CET by the dblp team
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