EPP: interpretable score of model predictive power. - Alicja Gosiewska; Mateusz Bakala; Katarzyna Woznica; Maciej Zwolinski; Przemyslaw Biecek (CoRR, 2019)

Towards better understanding of meta-features contributions. - Katarzyna Woznica; Przemyslaw Biecek (CoRR, 2020)

Interpretable Meta-Measure for Model Performance. - Alicja Gosiewska; Katarzyna Woznica; Przemyslaw Biecek (CoRR, 2020)

Does imputation matter? Benchmark for predictive models. - Katarzyna Woznica; Przemyslaw Biecek (CoRR, 2020)

Towards Explainable Meta-learning. - Katarzyna Woznica; Przemyslaw Biecek (PKDD/ECML Workshops (1), 2021)

Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure. - Katarzyna Pekala; Katarzyna Woznica; Przemyslaw Biecek (CoRR, 2021)

Do not explain without context: addressing the blind spot of model explanations. - Katarzyna Woznica; Katarzyna Pekala; Hubert Baniecki; Wojciech Kretowicz; Elzbieta Sienkiewicz; Przemyslaw Biecek (CoRR, 2021)

Interpretable Meta-Score for Model Performance: Extended Abstract. - Alicja Gosiewska; Katarzyna Woznica; Przemyslaw Biecek (Meta-Knowledge Transfer @ ECML/PKDD, 2022)

Consolidated learning - a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV. - Katarzyna Woznica; Mateusz Grzyb; Zuzanna Trafas; Przemyslaw Biecek (CoRR, 2022)

Interpretable meta-score for model performance. - Alicja Gosiewska; Katarzyna Woznica; Przemyslaw Biecek (Nat. Mac. Intell., 2022)

SeFNet: Bridging Tabular Datasets with Semantic Feature Nets. - Katarzyna Woznica; Piotr Wilczynski; Przemyslaw Biecek (CoRR, 2023)

Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization. - Dawid Pludowski; Antoni Zajko; Anna Kozak; Katarzyna Woznica (CoRR, 2024)

Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making. - Anna Kozak; Dominik Kedzierski; Jakub Piwko; Malwina Wojewoda; Katarzyna Woznica (CoRR, 2024)

Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks. - Katarzyna Woznica; Mateusz Grzyb; Zuzanna Trafas; Przemyslaw Biecek (Mach. Learn., 2024)

The Role of Hyperparameters in Predictive Multiplicity. - Mustafa Cavus; Katarzyna Woznica; Przemyslaw Biecek (CoRR, 2025)

Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning. - Jakub Piwko; Jedrzej Rucinski; Dawid Pludowski; Antoni Zajko; Patryzja Zak; Mateusz Zacharecki; Anna Kozak; Katarzyna Woznica (CoRR, 2025)

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? - Antoni Zajko; Katarzyna Woznica (CoRR, 2025)

SeFNet: Linking tabular datasets with semantic feature nets. - Katarzyna Woznica; Piotr Wilczynski; Przemyslaw Biecek (Inf. Fusion, 2026)