I study computer science and I'm interested in artificial intelligence, programming and music.
Analyzing and characterizing algorithms to improve algorithm selection. On top of the publications listed below, I also extended two algorithm selection benchmark libraries with my methodology llama: Leveraging Learning to Automatically Manage Algorithms and aslib: Interface to the Algorithm Selection Benchmark Library as well as contributed new datasets to the algorithm selection data repository. See publications for more detail.
I'm involved in the mlr3 -- Machine Learning Library for R language project. More specifically, I'm a co-author and maintainer of mlr3cluster, an extension package for cluster analysis within mlr3 framework. Check out blogpost I made about the package!
Pulatov, Damir and Anastacio, Marie and Kotthoff, Lars and Hoos, Holger. Opening the Black Box: Automated Software Analysis for Algorithm Selection. 1st International Conference on Automated Machine Learning, 2022
Damir Pulatov and Lars Kotthoff, Opening the Black Box: Automatically Characterizing Software for Algorithm Selection, AAAI Student Abstract (SA) at AAAI 2020
I enjoy discovering new music and reading. I sometimes answer/post questions on a StackOverflow.
You can find me on GitHub and LinkedIn.