Katarzyna Woznica

18 papers Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SeFNet: Linking tabular datasets with semantic feature nets. Inf. Fusion Katarzyna Woznica, Piotr Wilczynski, Przemyslaw Biecek
2025	J	`jnl`	Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? CoRR Antoni Zajko, Katarzyna Woznica
2025	J	`jnl`	Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning. CoRR Jakub Piwko, Jedrzej Rucinski, Dawid Pludowski, Antoni Zajko, Patryzja Zak, Mateusz Zacharecki, Anna Kozak, Katarzyna Woznica
2025	J	`jnl`	The Role of Hyperparameters in Predictive Multiplicity. CoRR Mustafa Cavus, Katarzyna Woznica, Przemyslaw Biecek
2024	J	`jnl`	Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks. Mach. Learn. Katarzyna Woznica, Mateusz Grzyb, Zuzanna Trafas, Przemyslaw Biecek
2024	J	`jnl`	Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making. CoRR Anna Kozak, Dominik Kedzierski, Jakub Piwko, Malwina Wojewoda, Katarzyna Woznica
2024	J	`jnl`	Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization. CoRR Dawid Pludowski, Antoni Zajko, Anna Kozak, Katarzyna Woznica
2023	J	`jnl`	SeFNet: Bridging Tabular Datasets with Semantic Feature Nets. CoRR Katarzyna Woznica, Piotr Wilczynski, Przemyslaw Biecek
2022	J	`jnl`	Consolidated learning - a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV. CoRR Katarzyna Woznica, Mateusz Grzyb, Zuzanna Trafas, Przemyslaw Biecek
2022	—	`conf`	Interpretable Meta-Score for Model Performance: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek
2022	J	`jnl`	Interpretable meta-score for model performance. Nat. Mac. Intell. Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek
2021	J	`jnl`	Do not explain without context: addressing the blind spot of model explanations. CoRR Katarzyna Woznica, Katarzyna Pekala, Hubert Baniecki, Wojciech Kretowicz, Elzbieta Sienkiewicz, Przemyslaw Biecek
2021	—	`conf`	Towards Explainable Meta-learning. PKDD/ECML Workshops (1) Katarzyna Woznica, Przemyslaw Biecek
2021	J	`jnl`	Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure. CoRR Katarzyna Pekala, Katarzyna Woznica, Przemyslaw Biecek
2020	J	`jnl`	Does imputation matter? Benchmark for predictive models. CoRR Katarzyna Woznica, Przemyslaw Biecek
2020	J	`jnl`	Interpretable Meta-Measure for Model Performance. CoRR Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek
2020	J	`jnl`	Towards better understanding of meta-features contributions. CoRR Katarzyna Woznica, Przemyslaw Biecek
2019	J	`jnl`	EPP: interpretable score of model predictive power. CoRR Alicja Gosiewska, Mateusz Bakala, Katarzyna Woznica, Maciej Zwolinski, Przemyslaw Biecek