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FinTech lending (e.g., micro-lending) has played a significant role in facilitating financial inclusion.
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Consumer-lending discrimination in the FinTech era
Robert Bartlett, Adair Morse, Richard Stanton, and Nancy Wallace. 2022 · 2022
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Fintech lending
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Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . 2712–2720
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Antibenford subgraphs: Unsupervised anomaly detection in financial networks. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . 2762–2770
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The Impact of Fintech Lending on Credit Access for U.S. Small Businesses
Giulio Cornelli, Jon Frost, Leonardo Gambacorta, and Julapa Jagtiani. 2022 · 2022
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ADBench: Anomaly Detection Benchmark
Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, and Yue Zhao. 2022 · 2022
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Credit Risk Modeling without Sensitive Features: An Adversarial Deep Learning Model for Fairness and Profit
Xiyang Hu, Yan Huang, Beibei Li, and Tian Lu. 2022 · 2022
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Ecod: Unsupervised outlier detection using empirical cumulative distribution functions
Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, and George Chen. 2022 · 2022
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BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. In Thirty-sixth Conference on Neural Information Processing Systems
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Beyond Fairness: Reparative Algorithms to Address Historical Injustices of Housing Discrimination in the US. In 2022 ACM Conference on Fairness, Accountability, and Transparency . 988–1004
Wonyoung So, Pranay Lohia, Rakesh Pimplikar, AE Hosoi, and Catherine D’Ignazio. 2022 · 2022
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Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . 4452–4460
Han Yue, Steve Xia, and Hongfu Liu. 2022 · 2022
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Profit vs. equality? the case of financial risk assessment and a new perspective on alternative data
Tian Lu, Yingjie Zhang, and Beibei Li. 2023 · 2023
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Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky. 2016 · 2030
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