mlsanityData to 14 Oct 2026

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

arXiv 2608.30514 ↗First posted 31 Aug 2026cs.HC cs.AI cs.LGcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 10 references that are in the map. First posted on arXiv 31 Aug 2026.

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References · 4

  1. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,905
  2. 2018UMAP: Uniform Manifold Approximation and Projection for Dimension Reductioncited by 2,898
  3. 2020t-viSNE: Interactive Assessment and Interpretation of t-SNE Projectionscited by 43
  4. 2026Evaluating Interactive 2D Visualization as a Sample Selection Strategy for Biomedical Time-Series Data Annotationcited by 1

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