A novel augmentation strategy for credit scoring modeling
Sign Up to like & getrecommendations! Published in 2025 at "Neural Computing and Applications"
DOI: 10.1007/s00521-024-10452-3
Abstract: In last years, social lending platforms have been increasingly used as virtual environments where borrowers can directly interact with lenders without any intermediary. As a result, a reliable credit scoring strategy, i.e., assessing whether a… read more here.
Keywords: augmentation strategy; novel augmentation; credit scoring; credit ... See more keywords
TALIU: A Novel Decoder and Augmentation Strategy for Boosting Tampered Document Image Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3560360
Abstract: In modern information exchange, document images are vital, often embedding sensitive data. The emergence of advanced image editing tools and generative AI models has elevated the risks associated with document forgery and tampering, representing considerable… read more here.
Keywords: detection; document image; decoder; image ... See more keywords
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.48550/arxiv.2210.15137
Abstract: Generative Adversarial Networks (GANs) typically suffer from overfitting when limited training data is available. To facilitate GAN training, current methods propose to use data-specific augmentation techniques. Despite the effectiveness, it is difficult for these methods… read more here.
Keywords: scoremix scalable; training; scalable augmentation; augmentation ... See more keywords