Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction

Towards A Rigorous Science of Interpretable Machine Learning

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Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

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DARPA's Explainable Artificial Intelligence Program

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The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients

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An improved fire detection approach based on YOLO-v8 for smart cities

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Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature

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Machine learning-driven credit risk: a systemic review

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Brain Tumor Detection and Classification Using Deep Learning and Sine-Cosine Fitness Grey Wolf Optimization

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Real-time facial emotion recognition system among children with autism based on deep learning and IoT

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Crop yield prediction algorithm (CYPA) in precision agriculture based on IoT techniques and climate changes

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Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques

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Explainable AI for Credit Assessment in Banks

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Credit Risk Analytics

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Effective prediction and resource allocation method (EPRAM) in fog computing environment for smart healthcare system

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International Journal of Scientific Research

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Effective deep Q-networks (EDQN) strategy for resource allocation based on optimized reinforcement learning algorithm

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A review of credit scoring research in the age of Big Data

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Video-based real-time monitoring for heart rate and respiration rate

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Review: Mask R-CNN Models

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Exploring the effects of pandemics on transportation through correlations and deep learning techniques

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A2M-LEUK: attention-augmented algorithm for blood cancer detection in children

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Deep Learning Based Convolutional Neural Network Structured New Image Classification Approach for Eye Disease Identification

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Thyroid Disease Multi-class Classification based on Optimized Gradient Boosting Model

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Credit Card Fraud Detection Based on Deep Neural Network Approach

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Groups make nodes powerful: Identifying influential nodes in social networks based on social conformity theory and community features

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Facial Expression Recognition Model Depending on Optimized Support Vector Machine

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Research on Credit Card Default Prediction Based on k-Means SMOTE and BP Neural Network

Chen, Y., & Zhang, R. (2021) · Complexity · doi:10.1155/2021/6618841 · Cited by 26

A New Reliable System For Managing Virtual Cloud Network

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An IoT-based Framework for Detecting Heart Conditions using Machine Learning

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Chaotic Time Series Recognition: A Deep Learning Model Inspired by Complex Systems Characteristics

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Forecasting the Real Estate Housing Prices Using a Novel Deep Learning Machine Model

Mohamed, H. H., Ibrahim, A. H., & Hagras, O. A. (2023) · Civil Engineering Journal · doi:10.28991/cej-sp2023-09-04 · Cited by 10

Explainable AI in Credit Risk ManagementPreprint

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A Reappraisal of the Prebisch-Singer Hypothesis Using Wavelets Analysis

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Credit Default Risk Prediction Based On Deep LearningPreprint

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"Why Should I Trust You?": Explaining the Predictions of Any Classifier

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Recent Emerging Techniques in Explainable Artificial Intelligence to Enhance the Interpretable and Understanding of AI Models for Human

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Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture

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AI in credit scoring: A comprehensive review of models and predictive analytics

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Deep Learning in Finance: A Survey of Applications and Techniques

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Transforming Financial Reporting with AI: Enhancing Accuracy and Timeliness

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Explainable AI Models for Credit Card Default Prediction: Balancing Accuracy and Interpretability

Ishtiaq, W. (2025) · International Journal of Multidisciplinary Sciences and Arts · doi:10.47709/ijmdsa.v4i4.6900

Transaction Scam Detection Using Flask Frame Work

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Associating Deep Learning and Logistic Regression for Credit Card Default Prediction

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Credit Card Default Prediction with Machine Learning: A Benchmarking Study on Imbalance Handling and Model Interpretability

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Explainable AI for Credit Assessment in Banks

de Lange, P. E., Melsom, B., Vennerød, C. B., & Westgaard, S. (2022) · Journal of risk and financial management · doi:10.3390/jrfm15120556 · Cited by 107