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Przemyslaw Biecek
Przemyslaw Biecek
Warsaw University of Technology
Dirección de correo verificada de mimuw.edu.pl - Página principal
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Año
survminer: Drawing Survival Curves using'ggplot2'
A Kassambara, M Kosinski, P Biecek
CRAN: Contributed Packages, 2016
2585*2016
DALEX: Explainers for complex predictive models in R
P Biecek
Journal of Machine Learning Research 19 (84), 1-5, 2018
5282018
Explainable AI methods-a brief overview
A Holzinger, A Saranti, C Molnar, P Biecek, W Samek
International workshop on extending explainable AI beyond deep models and …, 2020
4292020
Explanatory model analysis: explore, explain, and examine predictive models
P Biecek, T Burzykowski
Chapman and Hall/CRC, 2021
4012021
The relationships between the isoelectric point and: length of proteins, taxonomy and ecology of organisms
J Kiraga, P Mackiewicz, D Mackiewicz, M Kowalczuk, P Biecek, N Polak, ...
BMC genomics 8, 1-16, 2007
2182007
Transparency, auditability, and explainability of machine learning models in credit scoring
M Bücker, G Szepannek, A Gosiewska, P Biecek
Journal of the Operational Research Society 73 (1), 70-90, 2022
1502022
Explanations of model predictions with live and breakDown packages
M Staniak, P Biecek
The R Journal 10 (2), 395-409., 2018
1452018
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
H Baniecki, W Kretowicz, P Piatyszek, J Wisniewski, P Biecek
Journal of Machine Learning Research 22 (214), 1-7, 2021
1392021
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts
T Stanisławek, F Graliński, A Wróblewska, D Lipiński, A Kaliska, ...
International Conference on Document Analysis and Recognition, 564-579, 2021
132*2021
randomForestExplainer: Explaining and visualizing random forests in terms of variable importance
A Paluszynska, P Biecek, Y Jiang
R package version 0.9, 2017
115*2017
intsvy: An R package for analyzing international large-scale assessment data
DH Caro, P Biecek
Journal of Statistical Software 81, 1-44, 2017
113*2017
Do not trust additive explanations
A Gosiewska, P Biecek
arXiv preprint arXiv:1903.11420, 2019
108*2019
Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering
A Gosiewska, A Kozak, P Biecek
Decision Support Systems 150, 113556, 2021
952021
Arabidopsis SWI/SNF chromatin remodeling complex binds both promoters and terminators to regulate gene expression
R Archacki, R Yatusevich, D Buszewicz, K Krzyczmonik, J Patryn, ...
Nucleic Acids Research 45 (6), 3116-3129, 2017
902017
Heat shock proteins create a signature to predict the clinical outcome in breast cancer
M Klimczak, P Biecek, A Zylicz, M Zylicz
Scientific reports 9 (1), 7507, 2019
892019
survminer: Drawing Survival Curves using “ggplot2”. 2019
A Kassambara, M Kosinski, P Biecek, S Fabian
R package version 0.4 4, 2021
872021
TRIM28 and interacting KRAB-ZNFs control self-renewal of human pluripotent stem cells through epigenetic repression of pro-differentiation genes
U Oleksiewicz, M Gładych, AT Raman, H Heyn, E Mereu, ...
Stem cell reports 9 (6), 2065-2080, 2017
872017
Analiza danych z programem R: modele liniowe z efektami stałymi, losowymi i mieszanymi
P Biecek
Wydawnictwo Naukowe PWN, 2013
832013
Przewodnik po pakiecie R
P Biecek
Oficyna wydawnicza GIS, 2008
822008
SurvSHAP (t): time-dependent explanations of machine learning survival models
M Krzyziński, M Spytek, H Baniecki, P Biecek
Knowledge-Based Systems 262, 110234, 2023
812023
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Artículos 1–20