Bag of recurrence patterns representation for time-series classification
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2018/04/04
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Indian UGC (journal)
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Refrences58
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Citations16
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Nima Hatami ORCID (unauthenticated)
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Yann Gavet
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Johan Debayle
Cite
Hatami, Nima, et al. “Bag of Recurrence Patterns Representation for Time-Series Classification”. Pattern Analysis and Applications, vol. 22, no. 3, 2018, pp. 877-8, https://doi.org/10.1007/s10044-018-0703-6.
Hatami, N., Gavet, Y., & Debayle, J. (2018). Bag of recurrence patterns representation for time-series classification. Pattern Analysis and Applications, 22(3), 877-887. https://doi.org/10.1007/s10044-018-0703-6
Hatami, Nima, Yann Gavet, and Johan Debayle. “Bag of Recurrence Patterns Representation for Time-Series Classification”. Pattern Analysis and Applications 22, no. 3 (2018): 877-87. https://doi.org/10.1007/s10044-018-0703-6.
1.
Hatami N, Gavet Y, Debayle J. Bag of recurrence patterns representation for time-series classification. Pattern Analysis and Applications. 2018;22(3):877-8.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| 10.1109/LSP.2017.2670026 | IEEE Signal Processing Letters |
| 2017 | |
| Time series representation and similarity based on local autopatterns | Data Mining and Knowledge Discovery |
| 82 | 2016 |
| 10.1109/TIP.2016.2526898 | IEEE Transactions on Image Processing |
| 2016 | |
| 10.1109/TCYB.2014.2326059 | IEEE Transactions on Cybernetics |
| 2015 | |
| The BOSS is concerned with time series classification in the presence of noise | Data Mining and Knowledge Discovery |
| 182 | 2015 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| SRT: Improved transformer-based model for classification of 2D heartbeat images | Biomedical Signal Processing and Control |
| 2 | 2024 |
| Time series classification with their image representation | Neurocomputing |
| 2024 | |
| A Time Series Forecasting Model Selection Framework using CNN and Data Augmentation for Small Sample Data | Neural Processing Letters |
| 3 | 2023 |
| Fuzzy Cognitive Map-Driven Comprehensive Time-Series Classification | IEEE Transactions on Cybernetics |
| 2023 | |
Imaging feature-based clustering of financial time series | PLOS ONE |
| 2023 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 9
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Effect of Data Representation for Time Series Classification—A Comparative Study and a New Proposal and was published in 2019. The most recent citation comes from a 2024 study titled Time series classification with their image representation. This article reached its peak citation in 2022, with 5 citations. It has been cited in 15 different journals, 33% of which are open access. Among related journals, the Entropy cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.