Alicja Gosiewska

According to our database, Alicja Gosiewska authored at least 16 papers between 2018 and 2023.

Collaborative distances:

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

2023

Seeking a Sufficient Data Volume for Railway Infrastructure Component Detection with Computer Vision Models.

Alicja Gosiewska, Zuzanna Baran, Monika Baran, Tomasz Rutkowski

Sensors, September, 2023

2022

Interpretable meta-score for model performance.

Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek

Nat. Mac. Intell., September, 2022

Transparency, auditability, and explainability of machine learning models in credit scoring.

Michael Bücker, Gero Szepannek, Alicja Gosiewska, Przemyslaw Biecek

J. Oper. Res. Soc., 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

Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering.

Alicja Gosiewska, Anna Kozak, Przemyslaw Biecek

Decis. Support Syst., 2021

Enabling Machine Learning Algorithms for Credit Scoring - Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models.

Przemyslaw Biecek, Marcin Chlebus, Janusz Gajda, Alicja Gosiewska, Anna Kozak, Dominik Ogonowski, Jakub Sztachelski, Piotr Wojewnik

CoRR, 2021

2020

Landscape of R packages for eXplainable Artificial Intelligence.

Szymon Maksymiuk, Alicja Gosiewska, Przemyslaw Biecek

CoRR, 2020

Interpretable Meta-Measure for Model Performance.

Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek

CoRR, 2020

Lifting Interpretability-Performance Trade-off via Automated Feature Engineering.

Alicja Gosiewska, Przemyslaw Biecek

CoRR, 2020

2019

auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics.

Alicja Gosiewska, Przemyslaw Biecek

R J., 2019

EPP: interpretable score of model predictive power.

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

CoRR, 2019

iBreakDown: Uncertainty of Model Explanations for Non-additive Predictive Models.

Alicja Gosiewska, Przemyslaw Biecek

CoRR, 2019

SAFE ML: Surrogate Assisted Feature Extraction for Model Learning.

Alicja Gosiewska, Aleksandra Gacek, Piotr Lubon, Przemyslaw Biecek

CoRR, 2019

Models in the Wild: On Corruption Robustness of Neural NLP Systems.

Barbara Rychalska, Dominika Basaj, Alicja Gosiewska, Przemyslaw Biecek

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

survxai: an R package for structure-agnostic explanations of survival models.

Aleksandra Grudziaz, Alicja Gosiewska, Przemyslaw Biecek

J. Open Source Softw., 2018

auditor: an R Package for Model-Agnostic Visual Validation and Diagnostic.

Alicja Gosiewska, Przemyslaw Biecek

CoRR, 2018