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TSExplorer: An interactive data annotation and exploration tool for time-series data — arXiv:2608.30514

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.30514
License (as archived): CC0-1.0
Archived: 2026-10-17T07:52:45.986Z
SHA-256 of the archived text: 5dc85f226145571d2a633d4676b7fa81e2cb381f0ca5e21a61982c24de5e6007
Stable URL of this page: https://metraipolis.com/documento/dc_7a9dcadafbb2

How to cite

TSExplorer: An interactive data annotation and exploration tool for time-series data — arXiv:2608.30514 — arXiv (en), https://arxiv.org/abs/2608.30514 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_7a9dcadafbb2 (Metraipolis archive dc_7a9dcadafbb2, sha256 5dc85f226145571d2a633d4676b7fa81e2cb381f0ca5e21a61982c24de5e6007)

BibTeX

@misc{dc7a9dcadafbb2,
  title = {TSExplorer: An interactive data annotation and exploration tool for time-series data — arXiv:2608.30514},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.30514},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_7a9dcadafbb2; sha256 5dc85f226145571d2a633d4676b7fa81e2cb381f0ca5e21a61982c24de5e6007},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.30514. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

We present TSExplorer, a cross-platform tool for interactive annotation and exploration of time-series data. The tool enables users to inspect high-dimensional datasets through multiple complementary 2D visualizations derived from high-dimensional feature representations. TSExplorer is designed as a general-purpose research tool supporting a wide range of workflows, including exploratory data analysis, annotation of unlabeled or partially-labeled datasets, comparison of feature representations, and post-hoc inspection and refinement of existing labels with interactive visual feedback.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-01 in cs.AI).
Categorie arXiv: Human-Computer Interaction (cs.HC) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Software Engineering (cs.SE).
Pagina del lavoro: https://arxiv.org/abs/2608.30514 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-17T07:28:26.880Z dalla pagina https://arxiv.org/catchup/cs.AI/2026-09-01?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).