|
1.
| Science Article (Ref.) Automated Detection and Classification of Solar Radio Bursts in CALLISTO Spectrograms Using YOLOv5 and Ensemble Methods
/ Tassan-Din, Elisa ; Gunessee, Akhil ; Vong, Philippe ; Marqué, Christophe ; et al
submitted to Journal of Space Weather and Space Climate (2025)
[SCART-2026-0088]
|
|
2.
| Dataset CALLISTO AI-Detected Bursts
/ Gunessee, Akhil ; Marqué, Christophe ; et al
[DATASET-2025-0033]
|
|
3.
| Dataset CALLISTO AI-Detected Bursts
/ Gunessee, Akhil ; Marqué, Christophe ; et al
[DATASET-2025-0032]
|
|
4.
| Dataset ARCAS spectra
/ Marqué, Christophe ; Martinez Picar, Antonio ; et al
[DATASET-2025-0015]
|
|
5.
| Dataset ARCAS spectra
/ Marqué, Christophe ; Martinez Picar, Antonio ; et al
[DATASET-2025-0014]
|
|
6.
| Dataset HSRS spectra
/ Marqué, Christophe ; Martinez Picar, Antonio ; et al
[DATASET-2025-0012]
|
|
7.
| Dataset HSRS spectra
/ Marqué, Christophe ; Martinez Picar, Antonio ; et al
[DATASET-2025-0011]
|
|
8.
| Dataset Callisto spectra
/ Marqué, Christophe ; Martinez Picar, Antonio ; et al
[DATASET-2025-0009]
|
|
9.
| Dataset Callisto spectra
/ Marqué, Christophe ; Martinez Picar, Antonio ; et al
[DATASET-2025-0008]
|
|
10.
| Conf. Talk Can a deep learning approach of detecting solar radio bursts perform better than the interquartile range threshold outlier detection method, currently running on the CALLISTO instrument of the Royal Observatory of Belgium?
/ Gunessee, Akhil ; Marqué, Christophe ; et al
Talk presented at CESRA, University of Hertfordshire, UK on 2023-07-03
[CTALK-2023-0124]
|
guest ::
RSS feed.