Alicja Gosiewska

1. Transparency, Auditability and eXplainability of Machine Learning Models\n in Credit Scoring
   2020/01/01 by Michael Bücker, Bücker, Michael, Gero Szepannek +6 · 6 citations
   Business, Management and Accounting · Computer Science · Economics, Econometrics and Finance · #Applications (stat.AP) #Credit Risk and Financial Regulations #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Economics and business #Financial Distress and Bankruptcy Prediction #General Economics (econ.GN) #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
2. Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering
   2021/11/01 by Alicja Gosiewska, Anna Kozak, Przemysław Biecek · 4 citations
3. Do Not Trust Additive Explanations
   2019/03/27 by Alicja Gosiewska, Przemysław Biecek, Gosiewska, Alicja +1 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
4. Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models
   2021/04/14 by Przemysław Biecek, Biecek, Przemysław, Marcin Chlebuś +13 · 1 citation
   Business, Management and Accounting · Economics, Econometrics and Finance · Computer Science · #Financial Distress and Bankruptcy Prediction #Credit Risk and Financial Regulations #Imbalanced Data Classification Techniques