no code implementations • 20 Sep 2021 • Alexander Kovalenko, Pavel Kordík, Magda Friedjungová
However, such models face several problems during the learning process, mainly due to the redundancy of the individual neurons, which results in sub-optimal accuracy or the need for additional training steps.
1 code implementation • 23 Jun 2021 • Daniel Vašata, Tomáš Halama, Magda Friedjungová
Image inpainting is one of the important tasks in computer vision which focuses on the reconstruction of missing regions in an image.
no code implementations • 21 Jun 2020 • Magda Friedjungová, Daniel Vašata, Maksym Balatsko, Marcel Jiřina
Missing data is one of the most common preprocessing problems.
no code implementations • 20 Mar 2020 • Magda Friedjungová, Daniel Vašata, Tomáš Chobola, Marcel Jiřina
One task that is often discussed in a computer vision is the mapping of an image from one domain to a corresponding image in another domain known as image-to-image translation.
no code implementations • 10 Nov 2019 • Petra Kubernátová, Magda Friedjungová, Max van Duijn
We then use this guide to create a model for a data visualization recommender system for non-experts that aims to resolve the issues of current solutions.
no code implementations • 9 Nov 2019 • Magda Friedjungová, Daniel Vašata, Marcel Jiřina
The imputation impact is researched on a combination of traditional methods such as k-NN, linear regression, and MICE compared to modern imputation methods such as multi-layer perceptron (MLP) and gradient boosted trees (XGBT).