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