Topic Detection and Compressed Classification in Twitter

In this re- search we explore the potential of data synthesis with GANs to address this issue, more specifically we compare data synthesis with the Wasserstein Genera- tive

Given the characteristic of the training dataset provided by the PAN Shared Task 2019, we design a machine learning strategy based on features only including content of tweets as

The organizers of shared task bots and gender profiling on Twitter provided English and Spanish language datasets.. However, we only participated in the

The work proposed in this paper provides an approach for road recognition for inner-city scenarios based on the novel method that join a multi normalized-histogram with a Joint

The consequence of the BM problem is that the estimation accuracy in terms of Bayesian Mean Square Error (BMSE) of popular sparse-based estimators collapses even if the support

A way to assess both the accuracy (i.e., the ex- pected fraction of alternatives correctly classified) and the confidence of the classification model (i.e., the probability that

1.3 Urban population, socio-economic and epidemiological models in sub- Saharan African cities using satellite

Many applications algorithms and models have been proposed to estimate this conditional probability density function : kernel-density estimator [32], k- nearest-neighbours (KNN)