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Anna Kozak
Anna Kozak
Verified email at pw.edu.pl
Title
Cited by
Cited by
Year
Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering
A Gosiewska, A Kozak, P Biecek
Decision Support Systems 150, 113556, 2021
702021
The use of autoencoders for training neural networks with mixed categorical and numerical features
Ł Delong, A Kozak
ASTIN Bulletin: The Journal of the IAA 53 (2), 213-232, 2023
162023
Enabling machine learning algorithms for credit scoring--explainable artificial intelligence (XAI) methods for clear understanding complex predictive models
P Biecek, M Chlebus, J Gajda, A Gosiewska, A Kozak, D Ogonowski, ...
arXiv preprint arXiv:2104.06735, 2021
162021
forester: A Novel Approach to Accessible and Interpretable AutoML for Tree-Based Modeling
A Kozak, H Ruczyński
AutoML Conference 2023 (ABCD Track), 2023
32023
forester: A Tree-Based AutoML Tool in R
H Ruczyński, A Kozak
arXiv preprint arXiv:2409.04789, 2024
2024
Two-Sample Depth-Based Test for Dispersion in Fuzzy Environment
P Grzegorzewski, A Kozak
International Conference on Soft Methods in Probability and Statistics, 166-174, 2024
2024
Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making
A Kozak, D Kędzierski, J Piwko, M Wojewoda, K Woźnica
arXiv preprint arXiv:2403.12664, 2024
2024
Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization
D Płudowski, A Zajko, A Kozak, K Woźnica
arXiv preprint arXiv:2403.04720, 2024
2024
Analysis of machine learning models used in the process of building model ensembles for the regression task
J Ruciński, A Kozak
Zakład Projektowania Systemów CAD/CAM i Komputerowego Wspomagania Medycyny, 2023
2023
Do Tree-based Models Need Data Preprocessing?
H Ruczyński, A Kozak
AutoML Conference 2024 (Workshop Track), 0
A visual journey through AutoML. cattleia: a tool for deep dive into ensembles
J Piwko, D Kędzierski, M Wojewoda, A Kozak
Building Trust in Machine Learning: The Role of Explainable AI
A Kozak
ISFS 2023, 51, 0
vivo: local variable importance via oscillations
A Kozak, P Biecek
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