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  "access_rights": "",
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  "author": "D. Anguita",
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  "author": "D. Anguita",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.1902.02808",
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    "https://doi.org/10.48550/arXiv.1902.02808",
            
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    "https://doi.org/10.1145/3205455.3205555",
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    "https://doi.org/10.1145/3205455.3205555",
            
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    "https://doi.org/10.1007/s11042-021-11219-x",
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    "https://doi.org/10.1007/s11042-021-11219-x",
            
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    "https://doi.org/10.1145/3097983.3098169"
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    "https://doi.org/10.1145/3097983.3098169"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2312.05550",
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  "defined_in": "https://doi.org/10.48550/arXiv.2312.05550",
            
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  "doi": "10.57702/7dq42w0w",
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  "doi": "10.57702/7dq42w0w",
            
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  "doi_date_published": "2024-12-03",
            
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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": "A. Ghio",
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      "extra_author": "A. Ghio",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "L. Oneto",
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      "extra_author": "L. Oneto",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "X. Parra",
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "J. L. Reyes-Ortiz",
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      "extra_author": "J. L. Reyes-Ortiz",
            
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      "orcid": ""
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      "name": "human-activity-recognition",
            
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      "name": "human-computer-interaction",
            
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      "title": "Human-computer interaction"
            
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      "name": "machine-learning",
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      "name": "wearable-sensors",
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      "name": "wearable-sensors",
            
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      "title": "Wearable Sensors"
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      "title": "Wearable Sensors"
            
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  "metadata_created": "2024-12-03T10:27:04.914487",
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  "metadata_modified": "2024-12-03T10:27:05.285406",
            
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  "name": "human-activity-recognition--har--dataset",
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  "name": "human-activity-recognition--har--dataset",
            
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  "notes": "The dataset used in this paper is a multiclass 
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  "notes": "The dataset used in this paper is a multiclass 
            
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classi\ufb01cation task where the goal is to correctly predict which 
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classi\ufb01cation task where the goal is to correctly predict which 
            
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of the 7 activities is being performed by the user. The information 
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of the 7 activities is being performed by the user. The information 
            
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about the position of the smartphone will be used later to simulate 
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about the position of the smartphone will be used later to simulate 
            
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concept drifts.",
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concept drifts.",
            
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      "vocabulary_id": null
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    },
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    },
            
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    {
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      "display_name": "human activity recognition",
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      "display_name": "human activity recognition",
            
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      "id": "2f3ec204-25d9-4647-8e19-75dc429c1bc2",
            
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      "name": "human activity recognition",
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      "name": "human activity recognition",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "wearable sensors",
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      "display_name": "wearable sensors",
            
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      "id": "874df03e-7bd6-4595-bb33-91f78c4a48d5",
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      "id": "874df03e-7bd6-4595-bb33-91f78c4a48d5",
            
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      "name": "wearable sensors",
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      "state": "active",
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Human Activity Recognition (HAR) dataset",
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  "title": "Human Activity Recognition (HAR) dataset",
            
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  "type": "dataset",
232
  "type": "dataset",
            
192
  "version": ""
233
  "version": ""
            
193
}
234
}