Przemyslaw Biecek

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Piotr DonizyWroclaw Medical University, Department of Clinical and Experimental PathologyVerified email at umed.wroc.pl
Stanislaw CebratProfesor genetyki Uniwersytet WrocławskiVerified email at smorfland.uni.wroc.pl
Hubert BanieckiPhD student, University of WarsawVerified email at uw.edu.pl
Jerzy TiurynProfesor informatyki, Uniwersytet WarszawskiVerified email at mimuw.edu.pl
Ewa SzczurekAssociate Professor, University of WarsawVerified email at mimuw.edu.pl
Parantu K Shah, PhDAssociate Scientific Director, EMD Serono R&D, Inc.Verified email at dfci.harvard.edu
Katarzyna Tomczak, PhDThe University of Texas MD Anderson Cancer CenterVerified email at mdanderson.org
P MackiewiczUniversity of WroclawVerified email at smorfland.uni.wroc.pl
Martin VingronMax-Planck-Institut für molekulare GenetikVerified email at molgen.mpg.de
Malgorzata BogdanProfessor of Statistics, Lund UniversityVerified email at stat.lu.se
Miroslaw DudekUniversity of Zielona Gora, PolandVerified email at if.uz.zgora.pl
Florian FrommletMedical University ViennaVerified email at meduniwien.ac.at
Wioletta NowaczewskaUniwersytet WrocławskiVerified email at antropo.uni.wroc.pl
Andrzej JerzmanowskiProfessor of Molecular Biology, University of Warsaw and Institute of Biochemistry and BiophysicsVerified email at ibb.waw.pl
Bartek WilczynskiAssociate professor, Institute of Informatics, University of WarsawVerified email at mimuw.edu.pl
Janne HuovariVerified email at ptt.fi
Markus KainuResearcher at Research Department of The Social Insurance Institution of FinlandVerified email at kela.fi
Emilia JarochowskaDepartment of Earth Sciences, Utrecht UniversityVerified email at uu.nl
Jayanta K. GhoshProfessor of Statistics, Purdue UniversityVerified email at purdue.edu
Szymon ŁęskiedroneVerified email at edrone.me

Przemyslaw Biecek

Warsaw University of Technology

Verified email at mimuw.edu.pl - Homepage

Explainable Artificial Intelligence


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survminer: Drawing Survival Curves using ‘ggplot2’ A Kassambara, M Kosinski, P Biecek, S Fabian R package version 0.3 1, 2017	1916*	2017
DALEX: Explainers for complex predictive models in R P Biecek The Journal of Machine Learning Research 19 (1), 3245-3249, 2018	356	2018
Explanatory model analysis: explore, explain, and examine predictive models P Biecek, T Burzykowski CRC Press, 2021	241	2021
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	185	2007
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	157	2020
Explanations of model predictions with live and breakDown packages M Staniak, P Biecek The R Journal 10 (2), 395-409., 2018	111	2018
randomForestExplainer: Explaining and visualizing random forests in terms of variable importance A Paluszynska, P Biecek, Y Jiang R package version 0.9, 2017	99*	2017
intsvy: An R package for analyzing international large-scale assessment data DH Caro, P Biecek Journal of Statistical Software 81, 1-44, 2017	85*	2017
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	82	2017
Do not trust additive explanations A Gosiewska, P Biecek arXiv preprint arXiv:1903.11420, 2019	79*	2019
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	79	2017
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	77	2022
Przewodnik po pakiecie R P Biecek Oficyna Wydawnicza" GIS", 2017	77	2017
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	76	2021
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	72	2019
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	70*	2021
Analiza danych z programem R: modele liniowe z efektami stałymi, losowymi i mieszanymi P Biecek Wydawnictwo Naukowe PWN, 2013	69	2013
An international comparison of students' ability to endure fatigue and maintain motivation during a low-stakes test F Borgonovi, P Biecek Learning and Individual Differences 49, 128-137, 2016	63	2016
Retrieval and Analysis of Eurostat Open Data with the eurostat Package. L Lahti, J Huovari, M Kainu, P Biecek R J. 9 (1), 385, 2017	62	2017
HER-2 expression in immunohistochemistry has no prognostic significance in gastric cancer patients A Halon, P Donizy, P Biecek, J Rudno-Rudzinska, W Kielan, R Matkowski The Scientific World Journal 2012, 2012	61	2012

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