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23 ta ish

Ish: Evaluating Class-Imbalanced Data Handling for Enhanced Financial Distress Prediction Using an Attention-Based Deep Neural Network and Heuristic Optimization Algorithms

  1. Modeling of extended osprey optimization algorithm with Bayesian neural network: An application on Fintech to predict financial crisis

    Ilyоs Abdullayev, Elvir Akhmetshin, Irina V. Kosorukova +3

    MaqolaStock Market Forecasting MethodsAIMS Mathematics202410 iqtibos
    ABI

  2. Jellyfish Search Algorithm Based Feature Selection with Optimal Deep Learning for Predicting Financial Crises in the Economy and Society

    Eduard Osadchy, Ilyоs Abdullayev, Sergey Bakhvalov +2

    Maqola20245 iqtibos
    ABI

  3. Deep Learning-Based Model for Financial Distress Prediction

    Mohamed Elhoseny, Noura Metawa, Gábor Sztanó +1

    Maqola20223 iqtibos
    ABI

  4. Predicting Financial Distress in Indonesian Companies using Machine Learning

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

    Maqola20243 iqtibos
    ABI

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

    Ying Chen, Xiaojun Kuang, Jifeng Guo

    Maqola20232 iqtibos
    ABI

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

    Adil Oualid, Youssef Qasmaoui, Youssef Balouki +2

    Maqola20252 iqtibos
    ABI

  7. Determinants and consequences of financial distress: review of the empirical literature

    Ahsan Habib, Mabel D. Costa, Hedy Jiaying Huang +2

    Maqola20182 iqtibos
    ABI

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