Results 21 to 30 of about 25,449,411 (299)
Generating Synthetic Data for Deep Learning-Based Drone Detection
, 2023 Drone detection is an important yet challenging task in the context of object detection. The development of robust and reliable drone detection systems requires large amounts of labeled data, especially when using deep learning (DL) models. Unfortunately,
Dieter, Tamara +2 more
core +1 more source
Estimating risks of identification disclosure in partially synthetic data
, 2008 To limit disclosures, statistical agencies and other data disseminators can release partially synthetic, public use microdata sets. These comprise the units originally surveyed, but some collected values, for example sensitive values at high risk of ...
Reiter, Jerome P. +3 more
core +2 more sources
Likelihood-Based Finite Sample Inference for Synthetic Data from Pareto Model
Revstat Statistical Journal, 2023 Statistical agencies often publish microdata or synthetic data to protect confidentiality of survey respondents. This is more prevalent in case of income data.
Nutan Mishra , Sandip Barui
doaj +1 more source
Retrospection and prospect of China′ synthetic rubber industry in 2022
, 2023 The change characteristics of production capacity, output, import and export quantity, apparent consumption of main synthetic rubbers of China in 2022 were retrospected, the status of supply and demand of butadiene as well as price changes of main rubber
China Synthetic Rubber Industry Association Secretariat
core +1 more source
Unsupervised Cyclic Siamese Networks Automating Cell Imagery Analysis
Algorithms, 2023 Novel neural network models that can handle complex tasks with fewer examples than before are being developed for a wide range of applications. In some fields, even the creation of a few labels is a laborious task and impractical, especially for data ...
Dominik Stallmann, Barbara Hammer
doaj +1 more source
The Journal of Privacy and Confidentiality, 2020 Enhancing microdata access is one of the strategic priorities for the Australian Bureau of Statistics (ABS) in its transformation program. However, balancing the trade-off between enhancing data access and protecting confidentiality is a delicate act ...
Chien-Hung Chien +2 more
doaj +1 more source
Subar1/synthetic: Synthetic Data Generation
, 2021 Code to generate synthetic ...
Subar1
core +1 more source
Representative & Fair Synthetic Data
CoRR, 2021 Algorithms learn rules and associations based on the training data that they are exposed to. Yet, the very same data that teaches machines to understand and predict the world, contains societal and historic biases, resulting in biased algorithms with the risk of further amplifying these once put into use for decision support.
Paul Tiwald +2 more
openaire +3 more sources
, 2021 This repository contains two synthetic mobile device datasets, one for GPS location records ("input_case1_v2.csv") and the other for cellular location records ("input_case2_v2.csv"). The two datasets are stored in CSV files.
Guan, X (via Mendeley Data)
core +1 more source
Remote Sensing, 2020 Resolving surf-zone bathymetry from high-resolution imagery typically involves measuring wave speeds and performing a physics-based inversion process using linear wave theory, or data assimilation techniques which combine multiple remotely sensed ...
Adam M. Collins +6 more
doaj +1 more source