default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJan Mielniczuk
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j16]Wojciech Rejchel, Pawel Teisseyre, Jan Mielniczuk
:
Joint empirical risk minimization for instance-dependent positive-unlabeled data. Knowl. Based Syst. 304: 112444 (2024)- [c13]Pawel Teisseyre, Konrad Furmanczyk, Jan Mielniczuk:
Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning. ECAI 2024: 1672-1679 - [c12]Jan Mielniczuk, Adam Wawrzenczyk:
Augmented Prediction of a True Class for Positive Unlabeled Data Under Selection Bias. ECAI 2024: 2725-2732 - [i7]Pawel Teisseyre, Konrad Furmanczyk, Jan Mielniczuk:
Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning. CoRR abs/2404.00145 (2024) - [i6]Jan Mielniczuk, Adam Wawrzenczyk:
Augmented prediction of a true class for Positive Unlabeled data under selection bias. CoRR abs/2407.10309 (2024) - 2023
- [c11]Konrad Furmanczyk, Jan Mielniczuk, Wojciech Rejchel, Pawel Teisseyre:
Double Logistic Regression Approach to Biased Positive-Unlabeled Data. ECAI 2023: 764-771 - [c10]Jan Mielniczuk, Adam Wawrzenczyk:
One-Class Classification Approach to Variational Learning from Biased Positive Unlabeled Data. ECAI 2023: 1720-1727 - [c9]Mateusz Platek, Jan Mielniczuk:
Enhancing naive classifier for positive unlabeled data based on logistic regression approach. FedCSIS 2023: 225-233 - [c8]Adam Wawrzenczyk, Jan Mielniczuk:
Outlier Detection Under False Omission Rate Control. ICCS (3) 2023: 610-625 - [i5]Mateusz Platek, Jan Mielniczuk:
Enhancing naive classifier for positive unlabeled data based on logistic regression approach. CoRR abs/2306.02798 (2023) - [i4]Jan Mielniczuk, Adam Wawrzenczyk:
Single-sample versus case-control sampling scheme for Positive Unlabeled data: the story of two scenarios. CoRR abs/2312.02095 (2023) - [i3]Wojciech Rejchel, Pawel Teisseyre, Jan Mielniczuk:
Joint empirical risk minimization for instance-dependent positive-unlabeled data. CoRR abs/2312.16557 (2023) - 2022
- [j15]Adam Wawrzenczyk, Jan Mielniczuk:
Revisiting Strategies for Fitting Logistic Regression for Positive and Unlabeled Data. Int. J. Appl. Math. Comput. Sci. 32(2): 299-309 (2022) - [j14]Jan Mielniczuk:
Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods. Entropy 24(4): 553 (2022) - [j13]Jan Mielniczuk:
Information Theoretic Methods for Variable Selection - A Review. Entropy 24(8): 1079 (2022) - [i2]Konrad Furmanczyk, Jan Mielniczuk, Wojciech Rejchel, Pawel Teisseyre:
Joint estimation of posterior probability and propensity score function for positive and unlabelled data. CoRR abs/2209.07787 (2022) - 2021
- [j12]Malgorzata Lazecka, Jan Mielniczuk, Pawel Teisseyre:
Estimating the class prior for positive and unlabelled data via logistic regression. Adv. Data Anal. Classif. 15(4): 1039-1068 (2021) - [j11]Mariusz Kubkowski, Jan Mielniczuk, Pawel Teisseyre:
How to Gain on Power: Novel Conditional Independence Tests Based on Short Expansion of Conditional Mutual Information. J. Mach. Learn. Res. 22: 62:1-62:57 (2021) - [c7]Jan Mielniczuk, Pawel Teisseyre:
Detection of Conditional Dependence Between Multiple Variables Using Multiinformation. ICCS (6) 2021: 677-690 - [c6]Malgorzata Lazecka, Jan Mielniczuk:
Multiple Testing of Conditional Independence Hypotheses Using Information-Theoretic Approach. MDAI 2021: 81-92 - 2020
- [j10]Mariusz Kubkowski, Jan Mielniczuk:
Selection Consistency of Lasso-Based Procedures for Misspecified High-Dimensional Binary Model and Random Regressors. Entropy 22(2): 153 (2020) - [j9]Malgorzata Lazecka, Jan Mielniczuk:
Analysis of Information-Based Nonparametric Variable Selection Criteria. Entropy 22(9): 974 (2020) - [c5]Pawel Teisseyre, Jan Mielniczuk, Malgorzata Lazecka:
Different Strategies of Fitting Logistic Regression for Positive and Unlabelled Data. ICCS (4) 2020: 3-17 - [c4]Pawel Teisseyre, Jan Mielniczuk, Michal J. Dabrowski:
Testing the Significance of Interactions in Genetic Studies Using Interaction Information and Resampling Technique. ICCS (3) 2020: 511-524 - [c3]Mariusz Kubkowski, Malgorzata Lazecka, Jan Mielniczuk:
Distributions of a General Reduced-Order Dependence Measure and Conditional Independence Testing. ICCS (7) 2020: 692-706
2010 – 2019
- 2019
- [j8]Jan Mielniczuk, Pawel Teisseyre:
Stopping rules for mutual information-based feature selection. Neurocomputing 358: 255-274 (2019) - [i1]Mariusz Kubkowski, Jan Mielniczuk:
Selection consistency of Lasso-based procedures for misspecified high-dimensional binary model and random regressors. CoRR abs/1906.04175 (2019) - 2018
- [c2]Mateusz Pawluk, Pawel Teisseyre, Jan Mielniczuk:
Information-Theoretic Feature Selection Using High-Order Interactions. LOD 2018: 51-63 - 2017
- [j7]Jan Mielniczuk, Marcin Rdzanowski:
Use of Information Measures and Their Approximations to Detect Predictive Gene-Gene Interaction. Entropy 19(1): 23 (2017) - 2016
- [j6]Pawel Teisseyre, Robert A. Klopotek, Jan Mielniczuk:
Random Subspace Method for high-dimensional regression with the R package regRSM. Comput. Stat. 31(3): 943-972 (2016) - [p1]Jan Mielniczuk, Pawel Teisseyre:
What Do We Choose When We Err? Model Selection and Testing for Misspecified Logistic Regression Revisited. Challenges in Computational Statistics and Data Mining 2016: 271-296 - [e1]Stan Matwin, Jan Mielniczuk:
Challenges in Computational Statistics and Data Mining. Studies in Computational Intelligence 605, Springer 2016, ISBN 978-3-319-18780-8 [contents] - 2015
- [j5]Piotr Pokarowski, Jan Mielniczuk:
Combined l1 and greedy l0 penalized least squares for linear model selection. J. Mach. Learn. Res. 16: 961-992 (2015) - 2014
- [j4]Jan Mielniczuk, Pawel Teisseyre:
Using random subspace method for prediction and variable importance assessment in linear regression. Comput. Stat. Data Anal. 71: 725-742 (2014) - 2011
- [c1]Jan Mielniczuk, Pawel Teisseyre:
Model Selection in Logistic Regression Using p-Values and Greedy Search. SIIS 2011: 128-141
2000 – 2009
- 2007
- [j3]Jan Mielniczuk, Piotr Wojdyllo:
Estimation of Hurst exponent revisited. Comput. Stat. Data Anal. 51(9): 4510-4525 (2007) - [j2]Jan Mielniczuk, Piotr Wojdyllo:
Decorrelation of Wavelet Coefficients for Long-Range Dependent Processes. IEEE Trans. Inf. Theory 53(5): 1879-1883 (2007)
1990 – 1999
- 1993
- [j1]Jan Mielniczuk, Joanna Tyrcha:
Consistency of multilayer perceptron regression estimators. Neural Networks 6(7): 1019-1022 (1993)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:37 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
