3 papers
cs.LG2023
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
Radek Svoboda, Sebastian Basterrech, Jedrzej Kozal +2
Forecasting natural gas consumption, considering seasonality and trends, is crucial in planning its supply and consumption and optimizing the cost of obtaining it, mainly by indust…
cs.SD2023
Transfer of knowledge among instruments in automatic music transcription
Michał Leś, Michał Woźniak
Automatic music transcription (AMT) is one of the most challenging tasks in the music information retrieval domain. It is the process of converting an audio recording of music into…
cs.LG2023
Combining Self-labeling with Selective Sampling
Jędrzej Kozal, Michał Woźniak
Since data is the fuel that drives machine learning models, and access to labeled data is generally expensive, semi-supervised methods are constantly popular. They enable the acqui…