Search Results for author:
Found 10 papers, 3 papers with code
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN
For this reason, generative image models are highly sought after to facilitate data sharing.
Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)
Generating multivariate time series is a promising approach for sharing sensitive data in many medical, financial, and IoT applications.
3-D PET Image Generation with tumour masks using TGAN
To test the utility of the synthetic images, we train a segmentation model using the synthetic images.
Private data sharing between decentralized users through the privGAN architecture
We propose a method for data owners to share synthetic or fake versions of their data without sharing the actual data, nor the parameters of models that have direct access to the data.
Topic Segmentation and Labeling in Asynchronous Conversations
Topic segmentation and labeling is often considered a prerequisite for higher-level conversation analysis and has been shown to be useful in many Natural Language Processing (NLP) applications.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
