AutoMAT: Automated machine learning: Modelling, Auditing and Testings
What We Do
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/09/Asset-1.png)
Tuning of model hyperparameters, features transformation and features selection are activities that can be automated.
Can and should in order to create more time for creative work of data scientists. Our group develop new algorithms and tools for AutoML (automated model building), AutoEDA (automated exploratory data analysis) and AutoVAT (automated validation, auditing and testing). |
Grants
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,,MLGenSig: Machine Learning Methods for building the Integrated Genetic Signatures''
NCN 2017-2020
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/09/app-developer-icon-small-01.png)
,,DALEX: Descriptive mAchine Learning EXplanations''
NCN 2018-2021
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/09/app-developer-icon-small-07.png)
Intsvy: An R package for analyzing international large-scale assessment data
Daniel Caro, Przemysław Biecek (2017) Journal of Statistical Software https://www.jstatsoft.org/article/view/v081i07 |
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/09/app-developer-icon-small-03.png)
Comprehensive graphical presentation of data from incurred sample reanalysis
Rudzki P, Biecek P, Kaza M (2017) Bioanalysis https://www.ncbi.nlm.nih.gov/pubmed/28627276 |
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/09/app-developer-icon-small-04.png)
archivist: An R Package for Managing, Recording and Restoring Data Analysis Results
Marcin Kosiński, Przemysław Biecek (2017) Journal of Statistical Software https://www.jstatsoft.org/article/view/v082i11 |
Publications
Key works
Recent contributions
- Kamil Romaszko, Magda Tatarynowicz, Mateusz Urbański, Przemysław Biecek (2019), modelDown: automated website generator with interpretable documentation for predictive machine learning models, Journal of Open Source Software https://www.theoj.org/joss-papers/joss.01444/10.21105.joss.01444.pdf
- Alicja Gosiewska, Przemyslaw Biecek (2019), SAFE ML: Surrogate Assisted Feature Extraction for Model Learning, ARXIV: arXiv:1902.11035v1 https://arxiv.org/abs/1902.11035
more...
more publications
Team
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/12/przemyslaw_biecek.jpg)
Przemysław Biecek
Founder
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/12/hubert_baniecki.jpg)
Hubert Baniecki
Member
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/12/alicja_gosiewska.jpg)
Alicja Gosiewska
Member
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/12/wojciech_kretowicz.jpg)
Wojciech Kretowicz
Member
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/12/tomasz_stanislawek.jpg)
Tomasz Stanisławek
Member
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/12/anna_wroblewska.jpg)
Anna Wróblewska
Member
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/12/katarzyna_woznica.jpg)
Katarzyna Woźnica
Member
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/09/app-18-1.png)
Have a Project in Mind?
Please get in touch with the head of the group.