Machine learning for synthetic data generation: a review
Y Lu, M Shen, H Wang, X Wang, C van Rechem… - ar**_for_AI-Powered_Interfaces/links/602d2d8992851c4ed57bd3d8/ProtoAI-Model-Informed-Prototy**-for-AI-Powered-Interfaces.pdf" data-clk="hl=nl&sa=T&oi=gga&ct=gga&cd=6&d=4963729939868917877&ei=JcetZ7jvEIqy6rQPl5KnWA" data-clk-atid="daDb0hS24kQJ" target="_blank">[PDF] researchgate.net
Protoai: Model-informed prototy** for ai-powered interfaces
When prototy** AI experiences (AIX), interface designers seek useful and usable ways to
support end-user tasks through AI capabilities. However, AI poses challenges to design due …
support end-user tasks through AI capabilities. However, AI poses challenges to design due …
Benchmarking unsupervised outlier detection with realistic synthetic data
G Steinbuss, K Böhm - ACM Transactions on Knowledge Discovery from …, 2021 - dl.acm.org
Benchmarking unsupervised outlier detection is difficult. Outliers are rare, and existing
benchmark data contains outliers with various and unknown characteristics. Fully synthetic …
benchmark data contains outliers with various and unknown characteristics. Fully synthetic …
Tabular and latent space synthetic data generation: a literature review
The generation of synthetic data can be used for anonymization, regularization,
oversampling, semi-supervised learning, self-supervised learning, and several other tasks …
oversampling, semi-supervised learning, self-supervised learning, and several other tasks …
On the adoption of modern technologies to fight the COVID-19 pandemic: a technical synthesis of latest developments
A Majeed, X Zhang - COVID, 2023 - mdpi.com
In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize
the spread of COVID-19, and to control its pitfalls for the general public. Without such …
the spread of COVID-19, and to control its pitfalls for the general public. Without such …