Katarzyna Woznica

According to our database, Katarzyna Woznica authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

SeFNet: Linking tabular datasets with semantic feature nets.

Katarzyna Woznica, Piotr Wilczynski, Przemyslaw Biecek

Inf. Fusion, 2026

2025

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization?

Antoni Zajko, Katarzyna Woznica

CoRR, July, 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, June, 2025

The Role of Hyperparameters in Predictive Multiplicity.

Mustafa Cavus, Katarzyna Woznica, Przemyslaw Biecek

CoRR, March, 2025

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., July, 2024

Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making.

Anna Kozak, Dominik Kedzierski, Jakub Piwko, Malwina Wojewoda, Katarzyna Woznica

CoRR, 2024

Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization.

Dawid Pludowski, Antoni Zajko, Anna Kozak, Katarzyna Woznica

CoRR, 2024

2023

SeFNet: Bridging Tabular Datasets with Semantic Feature Nets.

Katarzyna Woznica, Piotr Wilczynski, Przemyslaw Biecek

CoRR, 2023

2022

Interpretable meta-score for model performance.

Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek

Nat. Mac. Intell., September, 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: Extended Abstract.

Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek

Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

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

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

Towards Explainable Meta-learning.

Katarzyna Woznica, Przemyslaw Biecek

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

Does imputation matter? Benchmark for predictive models.

Katarzyna Woznica, Przemyslaw Biecek

CoRR, 2020

Interpretable Meta-Measure for Model Performance.

Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek

CoRR, 2020

Towards better understanding of meta-features contributions.

Katarzyna Woznica, Przemyslaw Biecek

CoRR, 2020

2019

EPP: interpretable score of model predictive power.

Alicja Gosiewska, Mateusz Bakala, Katarzyna Woznica, Maciej Zwolinski, Przemyslaw Biecek

CoRR, 2019