In this paper, we develop a Mean Empirical Likelihood (MeanEL) method for right censored data. This MeanEL approach is based on traditional empirical likelihood methods but uses synthetic data to construct an EL ratio statistics, which shown have χ2 limiting distribution. Different simulation studies show that the confidence intervals tend more accurate coverage probabilities than other existin...

GANs for improving the realsim of projected 2D images Barth et al. (2018b,a) when used as initial 9 training set sweet pepper detection models, led to an improvement in overall performance 10 across different datasets Afonso (2019). This suggests that on synthetic data can make models 11 learn some latent characteristics, which then be refined by respective empirical data.The aim this research ...

Active Learning (AL) is a well-known standard method for efficiently obtaining annotated data by first labeling the samples that contain most information based on query strategy. In past, large variety of such strategies has been proposed, with each generation new increasing runtime and adding more complexity. However, to best our knowledge, none these excels consistently over number datasets f...