Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics
The present study explores the interpretability of latent spaces produced by time series foundation models, focusing on their potential for visual analysis tasks. Specifically, we evaluate the MOMENT family of models, a set of transformer-based, pre-trained architectures for multivariate time serie...
I tiakina i:
| Ngā kaituhi matua: | , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Universidad Internacional de La Rioja (UNIR)
2026-05-01
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| Rangatū: | International Journal of Interactive Multimedia and Artificial Intelligence |
| Ngā marau: | |
| Urunga tuihono: | https://www.ijimai.org/index.php/ijimai/article/view/6558 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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