Marcin Chlebus
Marcin Chlebus
Zakład Finansów Ilościowych, Wydział Nauk Ekonomicznych, Uniwersytet Warszawski
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Prevalence of diabetes in Poland in the years 2010–2014
M Walicka, M Chlebus, M Brzozowska, A Śliwczyński, T Jędrzejczyk, ...
Clinical Diabetology 4 (6), 232-237, 2015
Factors affecting the course and severity of adult acne. Observational cohort study
E Chlebus, M Chlebus
Journal of Dermatological Treatment 28 (8), 737-744, 2017
Mesenchymal stem cells from human amniotic membrane and umbilical cord can diminish immunological response in an in vitro allograft model
FA Dabrowski, A Burdzinska, A Kulesza, M Chlebus, B Kaleta, ...
Gynecologic and Obstetric Investigation 82 (3), 267-275, 2017
Ews-garch: New regime switching approach to forecast value-at-risk
M Chlebus
Central European Economic Journal 3 (50), 01-25, 2017
Comparison of Block Maxima and Peaks Over Threshold Value-at-Risk models for market risk in various economic conditions
F Szubzda, M Chlebus
Central European Economic Journal 6 (53), 70-85, 2020
Old-fashioned parametric models are still the best: a comparison of value-at-risk approaches in several volatility states
MC M Buczyński
Journal of Risk Model Validation 14 (2), 1-20, 2020
Is maintenance treatment in adult acne important? Benefits from maintenance therapy with adapalene, and low doses of alpha and beta hydroxy acids
E Chlebus, M Serafin, M Chlebus
Journal of Dermatological Treatment, 2019
Expression of matrix metalloproteinase enzymes in endometrium of women with abnormal uterine bleeding
B Grzechocinska, FA Dabrowski, M Chlebus, A Gondek, K Czarzasta, ...
Neuroendocrinol Lett 38 (8), 537-543, 2017
Predictors of in-hospital mortality in nonsurgical departments: a multivariable regression analysis of 2 855 029 hospitalizations.
M Walicka, M Chlebus, A Śliwczyński, M Brzozowska, D Rutkowski, ...
Polish Archives of Internal Medicine 130 (4), 268-275, 2020
Enabling Machine Learning Algorithms for Credit Scoring--Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models
P Biecek, M Chlebus, J Gajda, A Gosiewska, A Kozak, D Ogonowski, ...
arXiv preprint arXiv:2104.06735, 2021
Towards Better Understanding of Complex Machine Learning Models Using Explainable Artificial Intelligence (XAI): Case of Credit Scoring Modelling
M Kłosok, M Chlebus
University of Warsaw, Faculty of Economic Sciences, 2020
The Role of Adolescent Acne Treatment in Formation of Scars Among Patients With Persistent Adult Acne: Evidence From an Observational Study
E Chlebus, M Chlebus
Cutis 104, 57-61, 2019
Randomized comparison of two methods of the epidural space identification during regional labour analgesia
L Duniec, J Bilawicz, M Chlebus, B Pietrzak, M Wielgos
Ginekologia Polska 90 (5), 279-284, 2019
Matrix metalloproteinases-2,-7 and tissue metalloproteinase inhibitor-1 expression in human endometrium
B Grzechocinska, FA Dabrowski, A Cyganek, M Chlebus, C Kobierzycki, ...
Folia Histochemica et Cytobiologica 56 (3), 133-140, 2018
Comparison of the techniques for the identification of the epidural space using the loss-of-resistance technique or an automated syringe—results of a randomized double-blind study
L Duniec, P Nowakowski, J Sieczko, M Chlebus, T Łazowski
Anaesthesiology Intensive Therapy 48 (4), 228-233, 2016
The importance of window size: A study on the required window size for optimal-quality market risk models
M Buczyński, M Chlebus
Journal of Risk Model Validation 16 (1), 2022
Predictors of In-Hospital Mortality in Surgical Wards: A Multivariable Retrospective Cohort Analysis of 2,800,069 Hospitalizations
M Walicka, A Tuszyńska, M Chlebus, Y Sanchak, A Śliwczyński, ...
World Journal of Surgery 45 (2), 480-487, 2021
Machine learning in the prediction of flat horse racing results in Poland
P Borowski, M Chlebus
Faculty of Economic Sciences, University of Warsaw Working Papers, 2021
Nvidia's Stock Returns Prediction Using Machine Learning Techniques for Time Series Forecasting Problem
M Chlebus, M Dyczko, M Woźniak
Central European Economic Journal 8 (55), 44-62, 2021
Impact of using industry benchmark financial ratios on performance of bankruptcy prediction logistic regression model
M Heba, M Chlebus
University of Warsaw, Faculty of Economic Sciences, 2020
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