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  "author": "Eamonn Keogh",
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  "author": "Eamonn Keogh",
            
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  "author_email": "",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2004.03637",
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  "defined_in": "https://doi.org/10.48550/arXiv.2004.03637",
            
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  "doi": "10.57702/oippsyum",
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  "doi": "10.57702/oippsyum",
            
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  "doi_date_published": "2024-11-25",
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  "doi_date_published": "2024-11-25",
            
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  "doi_publisher": "TIB",
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Kaveh Kamgar",
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      "extra_author": "Kaveh Kamgar",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Chin-Chia Michael Yeh",
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      "extra_author": "Chin-Chia Michael Yeh",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Yan Zhu",
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      "extra_author": "Yan Zhu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Shaghayegh Gharghabi",
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      "extra_author": "Shaghayegh Gharghabi",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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"https://www.cs.ucr.edu/~eamonn/time_series_data_2018/",
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"https://www.cs.ucr.edu/~eamonn/time_series_data_2018/",
            
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  "license_title": null,
            
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  "metadata_created": "2024-11-25T14:18:29.617766",
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  "name": "ucr-time-series-classification-archive",
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  "name": "ucr-time-series-classification-archive",
            
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  "notes": "The UCR Time Series Classification Archive consists of 
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  "notes": "The UCR Time Series Classification Archive consists of 
            
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univariate time series datasets for classification tasks. It allows 
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univariate time series datasets for classification tasks. It allows 
            
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for testing the effectiveness of data augmentation schemes such as 
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for testing the effectiveness of data augmentation schemes such as 
            
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those explored in this paper.",
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those explored in this paper.",
            
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