[HTML][HTML] Credit card fraud detection in the era of disruptive technologies: A systematic review
Credit card fraud is becoming a serious and growing problem as a result of the emergence
of innovative technologies and communication methods, such as contactless payment. In …
of innovative technologies and communication methods, such as contactless payment. In …
[HTML][HTML] Comparison of tabular synthetic data generation techniques using propensity and cluster log metric
In the 21st-century, data is as valuable as gold. Many data-centric applications are
generating a vast amount of data. Businesses can use this generated data to pinpoint the …
generating a vast amount of data. Businesses can use this generated data to pinpoint the …
Privetab: Secure and privacy-preserving sharing of tabular data
Machine Learning has increased our ability to model large quantities of data efficiently in a
short time. Machine learning approaches in many application domains require collecting …
short time. Machine learning approaches in many application domains require collecting …
Closing the gap between observational research and randomized controlled trials for prevention of Alzheimer disease and dementia
Although observational studies have identified modifiable risk factors for Alzheimer disease
and related dementias (ADRD), randomized controlled trials (RCTs) of risk factor …
and related dementias (ADRD), randomized controlled trials (RCTs) of risk factor …
COCO (creating common object in context) dataset for chemistry apparatus
In order to create machine learning, we need to build a model. The model is created from a
process called training. The goal of training is to develop an accurate model that answers …
process called training. The goal of training is to develop an accurate model that answers …
Synthetic data generation: A comparative study
M Endres, A Mannarapotta Venugopal… - Proceedings of the 26th …, 2022 - dl.acm.org
Generating synthetic data similar to realistic data is a crucial task in data augmentation and
data production. Due to the preservation of authentic data distribution, synthetic data provide …
data production. Due to the preservation of authentic data distribution, synthetic data provide …
The promise and limitations of synthetic data as a strategy to expand access to state-level multi-agency longitudinal data
There is demand among policy-makers for the use of state education longitudinal data
systems, yet laws and policies regulating data disclosure limit access to such data, and …
systems, yet laws and policies regulating data disclosure limit access to such data, and …
Generating synthetic datasets for mobile wireless networks with sumo
With the softwarization of mobile wireless networks comes automated control and
management of network infrastructure. Machine learning solutions come as critical enablers …
management of network infrastructure. Machine learning solutions come as critical enablers …
Utility assessment of synthetic data generation methods
Big data analysis poses the dual problem of privacy preservation and utility, ie, how accurate
data analyses remain after transforming original data in order to protect the privacy of the …
data analyses remain after transforming original data in order to protect the privacy of the …
Automated dataset generation with blender for deep learning-based object segmentation
" Give a man a synthetic dataset and you help him for a project; teach a man to generate his
own dataset and you help him for a lifetime." Developments in digital technology led to an …
own dataset and you help him for a lifetime." Developments in digital technology led to an …