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ORCIDKatarzyna Woznica
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2020 – today
- 2024
[j2]Katarzyna Woznica
, Mateusz Grzyb, Zuzanna Trafas, Przemyslaw Biecek:
Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks. Mach. Learn. 113(7): 4925-4949 (2024)- [i10]Dawid Pludowski, Antoni Zajko, Anna Kozak, Katarzyna Woznica:
Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization. CoRR abs/2403.04720 (2024) - [i9]Anna Kozak, Dominik Kedzierski, Jakub Piwko, Malwina Wojewoda, Katarzyna Woznica:
Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making. CoRR abs/2403.12664 (2024) - 2023
- [i8]Katarzyna Woznica, Piotr Wilczynski, Przemyslaw Biecek:
SeFNet: Bridging Tabular Datasets with Semantic Feature Nets. CoRR abs/2306.11636 (2023) - 2022
- [j1]Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek:
Interpretable meta-score for model performance. Nat. Mac. Intell. 4(9): 792-800 (2022) - [c2]Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek:
Interpretable Meta-Score for Model Performance: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD 2022: 75-77 - [i7]Katarzyna Woznica, Mateusz Grzyb, Zuzanna Trafas, Przemyslaw Biecek:
Consolidated learning - a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV. CoRR abs/2201.11815 (2022) - 2021
- [c1]Katarzyna Woznica, Przemyslaw Biecek:
Towards Explainable Meta-learning. PKDD/ECML Workshops (1) 2021: 505-520 - [i6]Katarzyna Pekala, Katarzyna Woznica, Przemyslaw Biecek:
Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure. CoRR abs/2104.03403 (2021) - [i5]Katarzyna Woznica, Katarzyna Pekala, Hubert Baniecki, Wojciech Kretowicz, Elzbieta Sienkiewicz, Przemyslaw Biecek:
Do not explain without context: addressing the blind spot of model explanations. CoRR abs/2105.13787 (2021) - 2020
- [i4]Katarzyna Woznica, Przemyslaw Biecek:
Towards better understanding of meta-features contributions. CoRR abs/2002.04276 (2020) - [i3]Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek:
Interpretable Meta-Measure for Model Performance. CoRR abs/2006.02293 (2020) - [i2]Katarzyna Woznica, Przemyslaw Biecek:
Does imputation matter? Benchmark for predictive models. CoRR abs/2007.02837 (2020)
2010 – 2019
- 2019
- [i1]Alicja Gosiewska, Mateusz Bakala, Katarzyna Woznica, Maciej Zwolinski, Przemyslaw Biecek:
EPP: interpretable score of model predictive power. CoRR abs/1908.09213 (2019)
Coauthor Index
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