Citation notice #10955 · 2026-09-11 06:32:47.632471+00:00
Improving Multivariate Time Series Classification with Class-Wise Training and Model Aggregation
cites Data Mining and Knowledge Dis- covery39(6), 76 (2025).https://doi.org/10.1007/s10618-025-01132-4, which carries a correction notice dated 2025-11-20. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.
Citing paper Event page Original DOI Notice DOI File a formal challenge All reference changes
01Evidence
Raw extraction · citation context · bibliography index 13
imental evaluation of recent time series classification algorithms. Data Mining and Knowledge Discovery38(4), 1958-2031 (2024).https://doi.org/10.1007/ s10618-024-01022-1 13. Nuyts, L., Perini, L., Davis, J.: Tselect: Selecting relevant and non-redundant chan- nels for multivariate time series classification. Data Mining and Knowledge Dis- covery39(6), 76 (2025).https://doi.org/10.1007/s10618-025-01132-4 14. Ruiz, A.P., Flynn, M., Large, J., Middlehurst, M., Bagnall, A.: The great multi- variate time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data mining and knowledge discovery35(2), 401-449 (2021).https://doi.org/10.1007/s10618-020-00727-3 15. Schäfer, P., Leser, U.: Multivariate time series classification with weasel+muse.
Parser render (TeX stripped for reading; raw above is the evidence)
imental evaluation of recent time series classification algorithms. Data Mining and Knowledge Discovery38(4), 1958-2031 (2024).https://doi.org/10.1007/ s10618-024-01022-1 13. Nuyts, L., Perini, L., Davis, J.: Tselect: Selecting relevant and non-redundant chan- nels for multivariate time series classification. Data Mining and Knowledge Dis- covery39(6), 76 (2025).https://doi.org/10.1007/s10618-025-01132-4 14. Ruiz, A.P., Flynn, M., Large, J., Middlehurst, M., Bagnall, A.: The great multi- variate time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data mining and knowledge discovery35(2), 401-449 (2021).https://doi.org/10.1007/s10618-020-00727-3 15. Schäfer, P., Leser, U.: Multivariate time series classification with weasel+muse
02Event
- Type
- Correction
- Source
- Crossref
- Original DOI
- 10.1007/s10618-025-01132-4
- Notice DOI
- 10.1007/s10618-025-01171-x
- Date
- 2025-11-20
- Title
- Correction: TSelect: selecting relevant and non-redundant channels for multivariate time series classification
- Reasons
- ['Correction']
- Work
- Data Mining and Knowledge Dis- covery39(6), 76 (2025).https://doi.org/10.1007/s10618-025-01132-4 (2025)
03Dispute this notice
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