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The Evaluation on the Credit Risk of Enterprises with the CNN-LSTM-ATT Model
5 references·0 citing·24 second hop
The Evaluation on the Credit Risk of Enterprises with the CNN-LSTM-ATT Model (2022)The Evaluation on the Credit Risk of Ente…Robust Speech Emotion Recognition Using CNN+LSTM Based on Stochastic Fractal Search Optimization Algorithm (2022)Robust Speech Emotion Recogni…Research on the Risk of Social Stability of Enterprise Credit Supervision Mechanism Based on Big Data (2021)Research on the Risk of Socia…A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment (2021)A machine learning approach c…New hybrid data mining model for credit scoring based on feature selection algorithm and ensemble classifiers (2020)New hybrid data mining model …A novel tree-based dynamic heterogeneous ensemble method for credit scoring (2020)A novel tree-based dynamic he…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Credit Rationing in Markets with Imperfect Information (1981)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)A novel hybrid ensemble model based on tree-based method and deep learning method for default prediction (2021)Credit scoring methods: Latest trends and points to consider (2022)Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring (2015)A new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)Technology credit scoring model with fuzzy logistic regression (2016)Tree-based heterogeneous cascade ensemble model for credit scoring (2022)A scaling method for priorities in hierarchical structures (1977)The analytic hierarchy process : planning, priority setting, resource allocation (1980)A note on the analysis of subjective judgment matrices (1985)Deep neural networks with L1 and L2 regularization for high dimensional corporate credit risk prediction (2022)Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study (2024)Sharing Economy (2016)Sustainable consumption and production in the food supply chain: A conceptual framework (2017)Technological challenges of green innovation and sustainable resource management with large scale data (2018)A database of German emotional speech (2005)IEMOCAP: interactive emotional dyadic motion capture database (2008)The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)Meta-Heuristic Optimization of LSTM-Based Deep Network for Boosting the Prediction of Monkeypox Cases (2022)Emotion recognition from unimodal to multimodal analysis: A review (2023)RETRACTED ARTICLE: Speech Emotion Recognition: A Comprehensive Survey (2023)
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References

  • 2022Robust Speech Emotion Recognition Using CNN+LSTM Based on Stochastic Fractal Search Optimization Algorithm194 cited
  • 2021A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment115 cited
  • 2020A novel tree-based dynamic heterogeneous ensemble method for credit scoring109 cited
  • 2020New hybrid data mining model for credit scoring based on feature selection algorithm and ensemble classifiers83 cited
  • 2021Research on the Risk of Social Stability of Enterprise Credit Supervision Mechanism Based on Big Data24 cited

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