167 citations · 1k across the 73 of their papers we have counts for
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Climate Policy Tracker: Pipeline for automated analysis of public climate policies
Artur Żółkowski, Mateusz Krzyziński, Piotr Wilczyński +5
The number of standardized policy documents regarding climate policy and their publication frequency is significantly increasing. The documents are long and tedious for manual anal…
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Mateusz Krzyziński, Mikołaj Spytek, Hubert Baniecki +1
Machine and deep learning survival models demonstrate similar or even improved time-to-event prediction capabilities compared to classical statistical learning methods yet are too…
Performance, Opaqueness, Consequences, and Assumptions: Simple questions for responsible planning of machine learning solutions
Przemyslaw Biecek
The data revolution has generated a huge demand for data-driven solutions. This demand propels a growing number of easy-to-use tools and training for aspiring data scientists that…
Explainable expected goal models for performance analysis in football analytics
Mustafa Cavus, Przemysław Biecek
The expected goal provides a more representative measure of the team and player performance which also suit the low-scoring nature of football instead of score in modern football.…
Consolidated learning -- a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV
Katarzyna Woźnica, Mateusz Grzyb, Zuzanna Trafas +1
For many machine learning models, a choice of hyperparameters is a crucial step towards achieving high performance. Prevalent meta-learning approaches focus on obtaining good hyper…