NCBI PubMed Central
open access
Deepfake anomaly detection using kernel density estimation based convolutional autoencoder.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Anomaly Detection and Generation with Diffusion Models: A Survey#1199671
- Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data#1076697
- Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data#926753
- Regularized Latent Adaptive Framework for Unsupervised Industrial Anomaly Detection via Multi-Scale Generative–Discriminative Learning.#364628
- EGA: ensemble of graph autoencoder for unsupervised anomaly detection#223494
Record · ID 1359199
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive