7 papers
Modeling configuration-performance relation in a mobile network: a data-driven approach
Michał Panek, Ireneusz Jabłoński, Michał Woźniak
Mobile network performance modeling typically assumes either a fixed cell's configuration or only considers a limited number of parameters. This prohibits the exploration of multid…
-plot -- a visual tool for evaluating imbalanced data classifiers
Szymon Wojciechowski, Michał Woźniak
One of the significant problems associated with imbalanced data classification is the lack of reliable metrics. This runs primarily from the fact that for most real-life (as well a…
Continual Learning with Weight Interpolation
Jędrzej Kozal, Jan Wasilewski, Bartosz Krawczyk +1
Continual learning poses a fundamental challenge for modern machine learning systems, requiring models to adapt to new tasks while retaining knowledge from previous ones. Addressin…
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…
Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets
Jan Idziak, Artjoms Šeļa, Michał Woźniak +3
The paper discusses an approach to decipher large collections of handwritten index cards of historical dictionaries. Our study provides a working solution that reads the cards, and…
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…