This repository provides the DECRO dataset mentioned in the paper: Transferring Audio Deepfake Detection Capability across Languages (accepted by TheWebConf 2023). DEepfake CROss-lingual evaluation ...
Materials Science Division & Institute for Molecular Engineering, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, Illinois 60439, United States Institute for Molecular Engineering, The ...
Teens largely turn to TikTok, Instagram and Snapchat for fun and connection. But experiences around messaging, screen time and cyberbullying vary. And what teens say about how these sites impact their ...
Abbas, S.K. 2025. “Lending by Algorithm: Fair or Flawed? An Information-Theoretic View of Credit Decision Pipelines.” July 2024. SN Computer Science. https://link ...
Deliver an advanced compute and data environment that brings HPC, AI, edge computing, and disparate data to bear on problems and missions of national importance. The Computing and Computational ...
Community partitioning is an effective technique for cyberspace mapping. However, existing community partitioning algorithm only uses the topological structure of the network to divide the community ...
We believe the first step every organization should take toward quantum safety is to be aware of the need to organize, plan, and begin an impact assessment. We recommend prioritizing symmetric ...
Deep learning (DL) systems have been widely adopted in many industrial and business applications, dramatically improving human productivity, and enabling new industries. However, deep learning has a ...
The Qualcomm Institute is the UC San Diego division of the California Institute for Telecommunications and Information Technology (Calit2), one of four Gray Davis Institutes for Science and Innovation ...
Abstract: An improvement in the current restoring computer division algorithm which minimizes the number of restorations performed by the computer. Currently, restoration is checked after each ...
Retinal vessels are the only deep micro vessels that can be observed in human body, the accurate identification of which has great significance on the diagnosis of hypertension, diabetes and other ...
Fiber clustering methods are typically used in brain research to study the organization of white matter bundles from large diffusion MRI tractography datasets. These methods enable exploratory bundle ...
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