10 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Applying machine learning to predict behavior of bus transport in Warsaw, Poland
Łukasz Pałys, Maria Ganzha, Marcin Paprzycki
Nowadays, it is possible to collect precise data describing movements of public transport. Specifically, for each bus (or tram) geoposition data can be regularly collected. This in…
cs.LG2022
Practical Aspects of Zero-Shot Learning
Elie Saad, Marcin Paprzycki, Maria Ganzha
One of important areas of machine learning research is zero-shot learning. It is applied when properly labeled training data set is not available. A number of zero-shot algorithms…
cs.CR2021★ 10 cited
Semantic Access Control for Privacy Management of Personal Sensing in Smart Cities
Michał Drozdowicz, Maria Ganzha, Marcin Paprzycki
Personal and home sensors generate valuable information that could be used in Smart Cities. Unfortunately, typically, this data is locked out and used only by application/system de…