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cs.LG2023★ 1 cited
Dealing with zero-inflated data: achieving SOTA with a two-fold machine learning approach
Jože M. Rožanec, Gašper Petelin, João Costa +5
In many cases, a machine learning model must learn to correctly predict a few data points with particular values of interest in a broader range of data where many target values are…
cs.LG2022★ 1 cited
Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks
Jože M. Rožanec, Dimitrios Papamartzivanos, Entso Veliou +4
We propose using a two-layered deployment of machine learning models to prevent adversarial attacks. The first layer determines whether the data was tampered, while the second laye…