Results 221 to 230 of about 1,035,049 (261)

Aim high, stay private: differentially private synthetic data enables public release of behavioral health information with high utility. [PDF]

JAMIA Open
Ghasemizade M, Lovato J, Danforth C, Dodds PS, Bloomfield LSP, Price M, Near J.   +6 more
europepmc   +1 more source

Synthetic data-driven AI approach for fetal chromosomal aneuploidies detection. [PDF]

Bioinform Adv
Hwang C, Adhikari KP, Oh G, Kim S.
europepmc   +1 more source

Evaluating the utility of data integration with synthetic data and statistical matching. [PDF]

Sci Rep
Ji E, Ohn JH, Jo H, Park MJ, Kim HJ, Shin CM, Ahn S.   +6 more
europepmc   +1 more source

Data Augmentation and Synthetic Data Generation in Rare Disease Research: A Scoping Review. [PDF]

Med Sci (Basel)
Finetti R, Roncaglia B, Visibelli A, Spiga O, Santucci A.   +4 more
europepmc   +1 more source

Can small language models handle context-summarized multi-turn customer-service QA? A synthetic data-driven comparative evaluation. [PDF]

Front Artif Intell
Cooray L, Sumanathilaka D, Venkatesh Raju P.   +2 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Synthetic Data: Servicing Privacy

In contemporary society, big tech platforms have leveraged their ownership over global data infrastructures and have established powerful influence over the conditions of digitally mediated life. The ubiquity of platform-mediated information technology has engendered a growing sense of unease about surveillance and loss of personal autonomy.
Munkholm, Johan Lau, Wiehn, Tanja
openaire   +2 more sources

Bayesian Generation of Synthetic Data

Generation of synthetic data can be a valuable tool for machine-learning tasks and, in general, managing large volumes of data. This paper presents a technique for creating synthetic data through Bayesian Generation, so that synthetic data maintain the original probability distribution and can be exploited for training Machine-Learning models in place ...
Fosci, Paolo, Nieves, Javier, Psaila, Giuseppe, Bringas, Pablo Garcia   +3 more
openaire   +1 more source

Synthetic Data Generation: Generating High-Utility Synthetic Parcel Data; Applications and Implications of Synthetic Data

2022
As technological advancements occur at an exponential rate, the demand for data also increases. The spread of information through online platforms has also raised concerns about data privacy. To address scarcity and privacy concerns, synthetic data has been gaining popularity and acceptance in various fields.
openaire   +1 more source