Damir Pulatov

AI Research & Data Scientist

Software Engineer

Publications and Talks

My citations can be found on Google Scholar.

Beyond Regression and Classification
Raphael Sonabend, Patrick Schratz and Damir Pulatov.
CRC Press: In Bischl B, Sonabend R, Kotthoff L, Lang M, (Eds.), Applied Machine Learning Using mlr3 in R.
https://mlr3book.mlr-org.com/chapters/chapter13/beyond_regression_and_classification.html

Opening the Black Box: Automated Software Analysis for Algorithm Selection
Damir Pulatov, Marie Anastacio, Lars Kotthoff and Holger Hoos.
1st International Conference on Automated Machine Learning, July 25 - July 27 2022, Baltimore, Maryland.
How to write unit tests for your R code and why you should do it
Damir Pulatov
University of Wyoming, Data Science Center, February 2, 2022, Laramie, Wyoming.
Opening the Black Box: Automated Software Analysis for Algorithm Selection
Damir Pulatov, Marie Anastacio, Lars Kotthoff and Holger Hoos
17th INFORMS Computing Society Conference 2022, January 25, 2022, Tampa, Florida.

Opening the Black Box: Automated Software Analysis for Algorithm Selection
Damir Pulatov, Marie Anastacio, Lars Kotthoff and Holger Hoos.
Doctoral Program of 27th International Conference on Principles and Practice of Constraint Programming, October 25-29, 2021, Remote.
Introduction to mlr3
Damir Pulatov
University of Wyoming, Data Science Center, February 17, 2021, Laramie, Wyoming.

Opening the Black Box: Automatically Characterizing Software for Algorithm Selection
Damir Pulatov and Lars Kotthoff.
AAAI Student Abstract (SA) at AAAI 2020, Honolulu, Hawaii.

Utilizing software features for algorithm selection
Damir Pulatov and Lars Kotthoff.
COSEAL Workshop, co-located with the 15th ACM/SIGEVO Workshop on Foundations of Genetic Algorithms, 2019a, August 26-27, 2019, Potsdam, Germany
Modelling Algorithmic Performance
Damir Pulatov and Lars Kotthoff.
Rocky Mountain Advanced Computing Consortium (RMACC), May 21-23, 2019, Boulder, Colorado.