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21 ta ish

Ish: Assessment of Class Imbalance Data Handling with Attention-Based Deep Learning Approach for Robust Financial Distress Prediction in Enterprises

  1. A Robust Deep Learning Model for Financial Distress Prediction

    Magdi El‐Bannany, Meenu Sreedharan, Mohsin Y Ahmed

    Maqola20203 iqtibos
    ABI

  2. Deep Learning-Based Model for Financial Distress Prediction

    Mohamed Elhoseny, Noura Metawa, Gábor Sztanó +1

    Maqola20223 iqtibos
    ABI

  3. Predicting Financial Distress in Indonesian Companies using Machine Learning

    Farida Titik Kristanti, Mochamad Yudha Febrianta, Dwi Fitrizal Salim +2

    Maqola20243 iqtibos
    ABI

  4. Predictions of failure and financial distress: A study on Portuguese high and medium-high technology small and mid-sized enterprises

    Yehui Tong, Zélia Serrasqueiro

    Maqola20212 iqtibos
    ABI

  5. A case-based reasoning driven ensemble learning paradigm for financial distress prediction with missing data

    Lean Yu, Mengxin Li

    Maqola20232 iqtibos
    ABI

  6. LiFoL: An Efficient Framework for Financial Distress Prediction in High-Dimensional Unbalanced Scenario

    Ying Chen, Xiaojun Kuang, Jifeng Guo

    Maqola20232 iqtibos
    ABI

  7. Financial distress prediction in private firms: developing a model for troubled debt restructuring

    Asad Mehmood, Francesco De Luca

    Maqola20232 iqtibos
    ABI

  8. Advancing Credit Risk Management in Open Banking with Enhanced Federated Averaging Algorithm

    Adil Oualid, Youssef Qasmaoui, Youssef Balouki +2

    Maqola20252 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
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    Boshqa1 iqtibos
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    Boshqa1 iqtibos
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    ABI