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23 та иш

Иш: 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

    МақолаStock Market Forecasting MethodsAIMS Mathematics202410 иқтибос
    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

    Мақола20245 иқтибос
    ABI

  3. Deep Learning-Based Model for Financial Distress Prediction

    Mohamed Elhoseny, Noura Metawa, Gábor Sztanó +1

    Мақола20223 иқтибос
    ABI

  4. Predicting Financial Distress in Indonesian Companies using Machine Learning

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

    Мақола20243 иқтибос
    ABI

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

    Ying Chen, Xiaojun Kuang, Jifeng Guo

    Мақола20232 иқтибос
    ABI

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

    Adil Oualid, Youssef Qasmaoui, Youssef Balouki +2

    Мақола20252 иқтибос
    ABI

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

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

    Мақола20182 иқтибос
    ABI

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