2 citations · 3 across the 3 of their papers we have counts for
3 papers
stat.ML2024★ 1 cited
Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning
Paweł Teisseyre, Konrad Furmańczyk, Jan Mielniczuk
The goal of positive-unlabeled (PU) learning is to train a binary classifier on the basis of training data containing positive and unlabeled instances, where unlabeled observations…
stat.ME2023
A construction of a graphical model
Konrad Furmańczyk
We present a nonparametric graphical model. Our model uses an undirected graph that represents conditional independence for general random variables defined by the conditional depe…
stat.AP2023★ 2 cited
Network Model with Application to Allergy Diseases
Konrad Furmańczyk, Wojciech Niemiro, Mariola Chrzanowska +1
We propose a new graphical model to describe the comorbidity of allergic diseases. We present our model in two versions. First, we introduce a generative model that correctly refle…