Publications by Przemyslaw Biecek

Juxtapose ML models in the Arena. Let the most credible one win!

15.04.2020

The Arena performs detailed comparative analysis of the ML models regardless of their internal structure or the language in which they are trained.TL;DR: Piotr Piątyszek from MI2DataLab developed a new R package for interactive juxtapositioning of multiple ML models: http://arenar.drwhy.ai/Most predictive ML models are based on a simple assumpt...

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modelStudio and The Grammar of Interactive Explanatory Model Analysis

09.05.2020

The new version of modelStudio has recently been released on CRAN.modelStudio is an R package that automates the exploration of ML models and allows for interactive examination. It works in a model agnostic fashion, therefore is compatible with most of the ML frameworks (e.g. mlr/mlr3, xgboost, caret, h2o, scikit-learn, lightGBM, keras/tensorflow...

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xai2cloud: Convert a predictive model into an XAI cloud service

18.05.2020

TL;DRThe xai2cloud package allows for simple deployment of an R model as a cloud service. Any predictive model from the local R console can be converted into a REST service available remotely in the DigitalOcean cloud. GET and POST methods are created automatically for elementary XAI methods such as Break Down and Ceteris Paribus. There will be m...

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Materials from Explanatory Model Analysis Workshop @ eRum 2020

20.06.2020

Today I had the pleasure to give a workshop on Explanatory Model Analysis at the eRum 2020 conference. The conference was completely online, so were the workshops.All the materials from my workshop are at http://tiny.cc/eRum2020.The complete three-hour workshop is summarized in this 8-page long cheatsheet. Special thanks to Anna Kozak for the co...

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fairmodels: let’s fight with biased Machine Learning models (part 1 — detection)

31.07.2020

fairmodels: let’s fight with biased Machine Learning models (part 1 — detection)Author: Jakub WiśniewskiTL;DRThe fairmodels R Package facilitates bias detection through model visualizations. It implements few mitigation strategies that could reduce the bias. It enables easy to use checks for fairness metrics and comparison between differ...

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R packages for eXplainable Artificial Intelligence

05.10.2020

Joint work with Szymon Maksymiuk and Alicja Gosiewska.The growing demand for fast and automated development of predictive models has contributed to the popularity of machine learning frameworks. ML frameworks allow us to quickly build models that maximize a selected performance measure. However, it turned out that as the result we are getting bla...

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Plotting the excessive number of deaths in 2020 by age (with the eurostat package)

23.11.2020

Number of deaths in consecutive weeks. See the second plot for the whole story.Recently there have been several blog entries showing excessive number of deaths in different countries.Recently I discovered that in the eurostat database (1) one can find current data on the number of deaths, (2) this number is broken down by age, gender and geograp...

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Rashomon effect and the severe condition after Covid-19 infections

06.12.2020

Rashomon effect and the probability of severe condition after Covid-19 infectionRisk calculator for severe condition after Covid-19 https://crs19.pl/TL;DR: If you want to better understand the relationship between some dependent and target variable, you should build many different models (glm, boosting, rf) and compare their PD profiles (e.g. wit...

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Summarise the 2020 with R and rgl

31.12.2020

The end of the year is a great time to summarize accomplishments of the team. This year in MI2DataLab we summarized good things that happend in the form of baubles on the christmas tree (yes, this is the only known exception for using 3D plots). Each color of a bauble represents a different kind of result (yellow for articles, red for the package...

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We are looking for post-docs in Responsible Deep Learning*!

09.02.2021

Ok, we all work remotely at the moment anyway. But this chair will be waiting for you.*Modeling lung imaging data using deep neural networks following ResponsibleAI principles. No worries, you don’t need to have prior experience with medical data.Who we areML2DataLab is a research group lead by Przemysław Biecek that brings together researc...

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