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๐จ๐ปโ๐ป I'm a member of MIยฒ.AI, where I'm working on explainable artificial intelligence and applications of machine learning in healthcare.
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๐ I'm interested in responsible machine learning but also in data visualization, statistics, functional data analysis, and climate science.
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๐ Some of my projects:
- SurvSHAP(t) - the method developed for time-dependent explanations of survival models (with Python implementation)
- survex - the R package providing model-agnostic explanations for survival models
- Aspect - the module of the dalex Python package for global and local explanations that take into account the dependencies between the variables
- artemis - the Python package with explanation methods for extraction of feature interactions from predictive models
- treeshap - the R package for fast computation of SHAP values using TreeSHAP algorithm (mantaining and improving)
- check my papers on Scholar
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๐จ๐ปโ๐ I'm studying Data Science at Warsaw University of Technology.
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๐ซ Reach me:
- on LinkedIn
- or by email: [email protected] or [email protected]
krzyzinskim / mico Goto Github PK
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MICO: Mutual Information and Conic Optimization for feature selection
Home Page: https://jupiters1117.github.io/mico/
License: Other