A Forensic Framework With Diverse Data Generation for Generalizable Forgery Localization
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3607251
Abstract: Deep learning-based forensic techniques have emerged as the leading approach for image forgery localization. However, many existing methods struggle with overfitting to the training data, which limits their generalization performance and real-world applicability. To overcome… read more here.
Keywords: forensic framework; framework; forgery localization; data generation ... See more keywords
Impact of Diverse Data Sources on Computational Phenotyping
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2020.00556
Abstract: Electronic health records (EHRs) are widely adopted with a great potential to serve as a rich, integrated source of phenotype information. Computational phenotyping, which extracts phenotypes from EHR data automatically, can accelerate the adoption and… read more here.
Keywords: data sources; diverse data; phenotyping; computational phenotyping ... See more keywords