mlr3: A modern object-oriented machine learning framework in R

By Michel Lang, Martin Binder, Jakob Richter, Patrick Schratz, Florian Pfisterer, Stefan Coors, Quay Au, Giuseppe Casalicchio, Lars Kotthoff, Bernd Bischl. Journal of Open Source Software, 2019

406 citations recorded by the source corpus.

, object-oriented

Subfields: Artificial Intelligence, Signal Processing

View Paper: https://www.semanticscholar.org/paper/796aa29837824d307ef43270f8f7f91bb20812ec

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Frank Hutter
2. Bernd Bischl
3. Matthias Feurer
4. Marco F. Huber
5. Marc-André Zöller
6. Jan N. van Rijn
7. Joaquin Vanschoren
8. Giuseppe Casalicchio

In Signal Processing

1. Frank Hutter
2. Matthias Feurer
3. Bernd Bischl
4. Jan N. van Rijn
5. Giuseppe Casalicchio
6. Joaquin Vanschoren
7. Michel Lang
8. Stefan Falkner

Citations in the corpus

• OpenML Benchmarking Suites (2017, methodology): “, 2016b] or its successor mlr3 [Lang et al., 2019], and Weka [Hall et al.”