Katarzyna Woźnica
Katarzyna Woźnica
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Cited by
Does imputation matter? Benchmark for predictive models
K Woźnica, P Biecek
arXiv preprint arXiv:2007.02837, 2020
Merkel cell carcinoma of unknown primary: immunohistochemical and molecular analyses reveal distinct UV-signature/MCPyV-negative and high immunogenicity/MCPyV-positive profiles
P Donizy, JP Wróblewska, D Dias-Santagata, K Woznica, P Biecek, ...
Cancers 13 (7), 1621, 2021
The impact of left lower paratracheal (4L) lymph node dissection on survival in patients with surgically treated left-sided NSCLC
GM Gryszko, MM Cackowski, M Zbytniewski, K Woźnica, TM Orłowski, ...
European Journal of Cardio-Thoracic Surgery 60 (5), 1201-1209, 2021
Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure
K Pekala, K Woznica, P Biecek
arXiv preprint arXiv:2104.03403, 2021
Interpretable meta-score for model performance
A Gosiewska, K Woźnica, P Biecek
Nature Machine Intelligence 4 (9), 792-800, 2022
Towards explainable meta-learning
K Woźnica, P Biecek
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
The influence of the number of lymph nodes removed on the accuracy of a newly proposed N descriptor classification in patients with surgically-treated lung cancer
DA Dziedzic, MM Cackowski, M Zbytniewski, GM Gryszko, K Woźnica, ...
Surgical Oncology 37, 101514, 2021
Outcomes of the two generations of bioresorbable scaffolds (Magmaris vs. Absorb) in acute coronary syndrome in routine clinical practice
P Rola, A Włodarczak, M Łanocha, M Barycki, M Szudrowicz, JJ Kulczycki, ...
Cardiology Journal, 2022
Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks
K Woźnica, M Grzyb, Z Trafas, P Biecek
Machine Learning, 1-25, 2023
Magnesium Bioresorbable Scaffold (BRS) Magmaris vs Biodegradable Polymer DES Ultimaster in NSTE-ACS Population—12-Month Clinical Outcome
P Rola, A Włodarczak, S Włodarczak, M Barycki, M Szudrowicz, ...
Journal of Interventional Cardiology 2022, 2022
The clinico-pathological characteristics of surgically treated young women with NSCLC
A Trojnar, J Domagała-Kulawik, A Sienkiewicz-Ulita, M Zbytniewski, ...
Translational Lung Cancer Research 11 (12), 2382, 2022
Solitary Extramedullary Plasmacytoma of the Larynx and Secondary Laryngeal Involvement in Plasma Cell Myeloma: Single-Centre Retrospective Analysis and Systematic Literature Review
E Szczepanek, J Drozd-Sokołowska, J Sokołowski, A Rzepakowska, ...
Journal of Clinical Medicine 11 (15), 4390, 2022
The absence of lymph nodes removed (pNx status) impacts survival in patients with lung cancer treated surgically
MM Cackowski, GM Gryszko, M Zbytniewski, M Dziedzic, K Woźnica, ...
Surgical Oncology 48, 101941, 2023
Effect of 3A lymph node resection on survival in patients with right-sided NSCLC: a retrospective, multicentre, propensity-score matching study
MM Cackowski, M Zbytniewski, GM Gryszko, M Dziedzic, K Woźnica, ...
Journal of Thoracic Disease 14 (9), 3265, 2022
The effectiveness of surgical treatment of lung cancer in Polish academic and nonacademic centers
M Zbytniewski, GM Gryszko, MM Cackowski, AW Sienkiewicz-Ulita, ...
Translational Lung Cancer Research 12 (8), 1717, 2023
SeFNet: Bridging Tabular Datasets with Semantic Feature Nets
K Woźnica, P Wilczyński, P Biecek
arXiv preprint arXiv:2306.11636, 2023
Sex differences in clinico-pathologic characteristics and long-term survival among 17,192 surgically treated NSCLC patients: Nationwide population-based propensity score …
A Trojnar, J Domagała-Kulawik, A Sienkiewicz-Ulita, M Zbytniewski, ...
Surgical Oncology 45, 101873, 2022
Do not explain without context: addressing the blind spot of model explanations
K Woźnica, K Pękala, H Baniecki, W Kretowicz, E Sienkiewicz, P Biecek
arXiv preprint arXiv:2105.13787, 2021
Does imputation matter? Benchmark for real-life classification problems.
K Woźnica, P Biecek
ICML Workshop on the Art of Learning with Missing Values (Artemiss), 2020
Predicting acute kidney injury onset using a random forest algorithm using electronic medical records of COVID-19 patients: the CRACoV-AKI model.
K Krzanowska, K Batko, K Niezabitowska, K Woźnica, T Grodzicki, ...
Polish Archives of Internal Medicine, 16697-16697, 2024
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