Konrad Furmanczyk

15 papers A 2B 1Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 B conf
Positive Unlabeled Classification Methods with Logistic Regression Revisited: An Evaluation of Optimization Techniques.
MDAI
Kacper Paczutkowski, Konrad Furmanczyk
2024 — conf
Network Model with Application to Allergy Diseases.
ICCS (4)
Konrad Furmanczyk, Wojciech Niemiro, Mariola Chrzanowska, Marta Zalewska
2024 A conf
Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning.
ECAI
Pawel Teisseyre, Konrad Furmanczyk, Jan Mielniczuk
2024 J jnl
Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning.
CoRR
Pawel Teisseyre, Konrad Furmanczyk, Jan Mielniczuk
2023 J jnl
Classification and feature selection methods based on fitting logistic regression to PU data.
J. Comput. Sci.
Konrad Furmanczyk, Kacper Paczutkowski, Marcin Dudzinski, Diana Dziewa-Dawidczyk
2023 A conf
Double Logistic Regression Approach to Biased Positive-Unlabeled Data.
ECAI
Konrad Furmanczyk, Jan Mielniczuk, Wojciech Rejchel, Pawel Teisseyre
2022 — conf
Classification Methods Based on Fitting Logistic Regression to Positive and Unlabeled Data.
ICCS (1)
Konrad Furmanczyk, Kacper Paczutkowski, Marcin Dudzinski, Diana Dziewa-Dawidczyk
2022 J jnl
Joint estimation of posterior probability and propensity score function for positive and unlabelled data.
CoRR
Konrad Furmanczyk, Jan Mielniczuk, Wojciech Rejchel, Pawel Teisseyre
2021 — conf
Some Proposal of the High Dimensional PU Learning Classification Procedure.
ICCS (3)
Konrad Furmanczyk, Marcin Dudzinski, Diana Dziewa-Dawidczyk
2020 J jnl
Prediction and Variable Selection in High-Dimensional Misspecified Binary Classification.
Entropy
Konrad Furmanczyk, Wojciech Rejchel
2019 — conf
Combined change detector based on competitive filters and statistical tests.
APPIS
Leszek J. Chmielewski, Konrad Furmanczyk, Arkadiusz Orlowski
2017 — conf
Competitive Detector of Changes with a Statistical Test.
CORES
Leszek J. Chmielewski, Konrad Furmanczyk, Arkadiusz Orlowski
2016 J jnl
Archimedean copulas with applications to VaR estimation.
Stat. Methods Appl.
Konrad Furmanczyk
2014 J jnl
The Frequentistic and Bayesian quantile estimation for the maxima of sea levels.
Model. Assist. Stat. Appl.
Marcin Dudzinski, Konrad Furmanczyk
2013 J jnl
The Prevalence of Asthma and Declared Asthma in Poland on the Basis of ECAP Survey Using Correspondence Analysis.
Comput. Math. Methods Medicine
Marta Zalewska, Konrad Furmanczyk, Stanislaw Jaworski, Wojciech Niemiro, Boleslaw Samolinski