97 citations · 118 across the 4 of their papers we have counts for
5 papers
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
Michael Götz, Christian Weber, Franciszek Binczyk +7
We propose a new method that employs transfer learning techniques to effectively correct sampling selection errors introduced by sparse annotations during supervised learning for a…
CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis
Wojciech Prazuch, Aleksandra Suwalska, Marek Socha +19
Due to the large accumulation of patients requiring hospitalization, the COVID-19 pandemic disease caused a high overload of health systems, even in developed countries. Deep learn…
Classification supporting COVID-19 diagnostics based on patient survey data
Joanna Henzel, Joanna Tobiasz, Michał Kozielski +11
Distinguishing COVID-19 from other flu-like illnesses can be difficult due to ambiguous symptoms and still an initial experience of doctors. Whereas, it is crucial to filter out th…
DiviK: Divisive intelligent K-Means for hands-free unsupervised clustering in big biological data
Grzegorz Mrukwa, Joanna Polanska
Investigating molecular heterogeneity provides insights about tumor origin and metabolomics. The increasing amount of data gathered makes manual analyses infeasible - therefore, au…
Initializing EM algorithm for univariate Gaussian, multi-component, heteroscedastic mixture models by dynamic programming partitions
Andrzej Polanski, Michal Marczyk, Monika Pietrowska +2
Setting initial values of parameters of mixture distributions estimated by using the EM recursive algorithm is very important to the overall quality of estimation. None of the exis…