{
  "id": 476616,
  "title": "Home Credit Competition : Research papers",
  "url": "/competitions/home-credit-credit-risk-model-stability/discussion/476616",
  "author_name": "C R Suthikshn Kumar",
  "post_date": "2024-02-13T04:05:27.181000",
  "votes": 14,
  "comment_count": 0,
  "views": 0,
  "content": "<p>with respect to Home Credit : Credit Risk Model Stability Competition:<br>\n<a href=\"https://www.kaggle.com/competitions/home-credit-credit-risk-model-stability/\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-credit-risk-model-stability/</a></p>\n<p>I am listing here some useful papers related to this competition:</p>\n<ol>\n<li>Shi, S., Tse, R., Luo, W. et al. Machine learning-driven credit risk: a systemic review. Neural Comput &amp; Applic 34, 14327–14339 (2022). <a href=\"https://doi.org/10.1007/s00521-022-07472-2\" target=\"_blank\">https://doi.org/10.1007/s00521-022-07472-2</a>( Springer)</li>\n<li>Noriega, J.P.; Rivera, L.A.; Herrera, J.A. Machine Learning for Credit Risk Prediction: A Systematic Literature Review. Data 2023, 8, 169. <a href=\"https://doi.org/10.3390/data8110169\" target=\"_blank\">https://doi.org/10.3390/data8110169</a></li>\n<li>S. Kalaycı, M. Kamasak and S. Arslan, \"Credit risk analysis using machine learning algorithms,\" 2018 26th Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey, 2018, pp. 1-4, doi: 10.1109/SIU.2018.8404353.</li>\n<li>Luka Vidovic &amp; Lei Yue, Machine Learning and Credit Risk Modelling, <a href=\"https://www.spglobal.com/marketintelligence/en/news-insights/blog/machine-learning-and-credit-risk-modelling\" target=\"_blank\">https://www.spglobal.com/marketintelligence/en/news-insights/blog/machine-learning-and-credit-risk-modelling</a><br>\n( Accessed on  13th Feb 2024)<br>\n5.Jacky C. K. Chow, ANALYSIS OF FINANCIAL CREDIT RISK USING MACHINE LEARNING(MBA thesis 2017)<br>\n<a href=\"https://arxiv.org/ftp/arxiv/papers/1802/1802.05326.pdf\" target=\"_blank\">https://arxiv.org/ftp/arxiv/papers/1802/1802.05326.pdf</a></li>\n<li>Guan, C., Suryanto, H., Mahidadia, A. et al. Responsible Credit Risk Assessment with Machine Learning and Knowledge Acquisition. Hum-Cent Intell Syst 3, 232–243 (2023). <a href=\"https://doi.org/10.1007/s44230-023-00035-1\" target=\"_blank\">https://doi.org/10.1007/s44230-023-00035-1</a></li>\n</ol>",
  "messages": [
    {
      "id": 2649711,
      "postDate": "2024-02-13T04:05:27.180Z",
      "content": "<p>with respect to Home Credit : Credit Risk Model Stability Competition:<br>\n<a href=\"https://www.kaggle.com/competitions/home-credit-credit-risk-model-stability/\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-credit-risk-model-stability/</a></p>\n<p>I am listing here some useful papers related to this competition:</p>\n<ol>\n<li>Shi, S., Tse, R., Luo, W. et al. Machine learning-driven credit risk: a systemic review. Neural Comput &amp; Applic 34, 14327–14339 (2022). <a href=\"https://doi.org/10.1007/s00521-022-07472-2\" target=\"_blank\">https://doi.org/10.1007/s00521-022-07472-2</a>( Springer)</li>\n<li>Noriega, J.P.; Rivera, L.A.; Herrera, J.A. Machine Learning for Credit Risk Prediction: A Systematic Literature Review. Data 2023, 8, 169. <a href=\"https://doi.org/10.3390/data8110169\" target=\"_blank\">https://doi.org/10.3390/data8110169</a></li>\n<li>S. Kalaycı, M. Kamasak and S. Arslan, \"Credit risk analysis using machine learning algorithms,\" 2018 26th Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey, 2018, pp. 1-4, doi: 10.1109/SIU.2018.8404353.</li>\n<li>Luka Vidovic &amp; Lei Yue, Machine Learning and Credit Risk Modelling, <a href=\"https://www.spglobal.com/marketintelligence/en/news-insights/blog/machine-learning-and-credit-risk-modelling\" target=\"_blank\">https://www.spglobal.com/marketintelligence/en/news-insights/blog/machine-learning-and-credit-risk-modelling</a><br>\n( Accessed on  13th Feb 2024)<br>\n5.Jacky C. K. Chow, ANALYSIS OF FINANCIAL CREDIT RISK USING MACHINE LEARNING(MBA thesis 2017)<br>\n<a href=\"https://arxiv.org/ftp/arxiv/papers/1802/1802.05326.pdf\" target=\"_blank\">https://arxiv.org/ftp/arxiv/papers/1802/1802.05326.pdf</a></li>\n<li>Guan, C., Suryanto, H., Mahidadia, A. et al. Responsible Credit Risk Assessment with Machine Learning and Knowledge Acquisition. Hum-Cent Intell Syst 3, 232–243 (2023). <a href=\"https://doi.org/10.1007/s44230-023-00035-1\" target=\"_blank\">https://doi.org/10.1007/s44230-023-00035-1</a></li>\n</ol>",
      "rawMarkdown": "with respect to Home Credit : Credit Risk Model Stability Competition:\nhttps://www.kaggle.com/competitions/home-credit-credit-risk-model-stability/\n\nI am listing here some useful papers related to this competition:\n1. Shi, S., Tse, R., Luo, W. et al. Machine learning-driven credit risk: a systemic review. Neural Comput & Applic 34, 14327–14339 (2022). https://doi.org/10.1007/s00521-022-07472-2( Springer)\n2. Noriega, J.P.; Rivera, L.A.; Herrera, J.A. Machine Learning for Credit Risk Prediction: A Systematic Literature Review. Data 2023, 8, 169. https://doi.org/10.3390/data8110169\n3. S. Kalaycı, M. Kamasak and S. Arslan, \"Credit risk analysis using machine learning algorithms,\" 2018 26th Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey, 2018, pp. 1-4, doi: 10.1109/SIU.2018.8404353.\n4. \tLuka Vidovic & Lei Yue, Machine Learning and Credit Risk Modelling, https://www.spglobal.com/marketintelligence/en/news-insights/blog/machine-learning-and-credit-risk-modelling\n( Accessed on  13th Feb 2024)\n5.Jacky C. K. Chow, ANALYSIS OF FINANCIAL CREDIT RISK USING MACHINE LEARNING(MBA thesis 2017)\n https://arxiv.org/ftp/arxiv/papers/1802/1802.05326.pdf\n6. Guan, C., Suryanto, H., Mahidadia, A. et al. Responsible Credit Risk Assessment with Machine Learning and Knowledge Acquisition. Hum-Cent Intell Syst 3, 232–243 (2023). https://doi.org/10.1007/s44230-023-00035-1\n",
      "votes": 13
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2649711": "with respect to Home Credit : Credit Risk Model Stability Competition:\nhttps://www.kaggle.com/competitions/home-credit-credit-risk-model-stability/\n\nI am listing here some useful papers related to this competition:\n1. Shi, S., Tse, R., Luo, W. et al. Machine learning-driven credit risk: a systemic review. Neural Comput & Applic 34, 14327–14339 (2022). https://doi.org/10.1007/s00521-022-07472-2( Springer)\n2. Noriega, J.P.; Rivera, L.A.; Herrera, J.A. Machine Learning for Credit Risk Prediction: A Systematic Literature Review. Data 2023, 8, 169. https://doi.org/10.3390/data8110169\n3. S. Kalaycı, M. Kamasak and S. Arslan, \"Credit risk analysis using machine learning algorithms,\" 2018 26th Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey, 2018, pp. 1-4, doi: 10.1109/SIU.2018.8404353.\n4. \tLuka Vidovic & Lei Yue, Machine Learning and Credit Risk Modelling, https://www.spglobal.com/marketintelligence/en/news-insights/blog/machine-learning-and-credit-risk-modelling\n( Accessed on  13th Feb 2024)\n5.Jacky C. K. Chow, ANALYSIS OF FINANCIAL CREDIT RISK USING MACHINE LEARNING(MBA thesis 2017)\n https://arxiv.org/ftp/arxiv/papers/1802/1802.05326.pdf\n6. Guan, C., Suryanto, H., Mahidadia, A. et al. Responsible Credit Risk Assessment with Machine Learning and Knowledge Acquisition. Hum-Cent Intell Syst 3, 232–243 (2023). https://doi.org/10.1007/s44230-023-00035-1\n"
  }
}