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  "author": "Bo-Wei Huang",
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  "author": "Bo-Wei Huang",
            
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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.2406.02889",
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    "https://doi.org/10.48550/arXiv.2406.02889",
            
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    "https://doi.org/10.48550/arXiv.2301.13293",
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    "https://doi.org/10.48550/arXiv.2301.13293",
            
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    "https://doi.org/10.48550/arXiv.2109.10432",
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    "https://doi.org/10.48550/arXiv.2109.10432",
            
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    "https://doi.org/10.48550/arXiv.2106.03783"
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    "https://doi.org/10.48550/arXiv.2106.03783"
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2308.08778",
            
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  "doi": "10.57702/k2qcbue3",
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  "doi": "10.57702/k2qcbue3",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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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": "Keng-Te Liao",
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      "extra_author": "Keng-Te Liao",
            
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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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      "extra_author": "Chang-Sheng Kao",
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      "extra_author": "Chang-Sheng Kao",
            
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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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      "extra_author": "Shou-De Lin",
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      "extra_author": "Shou-De Lin",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "description": "",
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      "title": "Decision Rule Ensembles"
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      "title": "Decision Rule Ensembles"
            
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      "name": "image-classification",
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      "name": "image-classification",
            
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      "name": "robustness",
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  "name": "cmnist",
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  "name": "cmnist",
            
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  "notes": "Dataset bias is a significant problem in training fair 
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  "notes": "Dataset bias is a significant problem in training fair 
            
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classifiers. When attributes unrelated to classification exhibit 
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classifiers. When attributes unrelated to classification exhibit 
            
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strong biases towards certain classes, classifiers trained on such 
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strong biases towards certain classes, classifiers trained on such 
            
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dataset may overfit to these bias attributes, substantially reducing 
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dataset may overfit to these bias attributes, substantially reducing 
            
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the accuracy for minority groups.",
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the accuracy for minority groups.",
            
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}
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}