Stefan Coors

Orcid: 0000-0002-7465-2146

According to our database1, Stefan Coors authored at least 11 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2018
2019
2020
2021
2022
2023
2024
0
1
2
3
4
2
2
1
1
2
1
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
AMLB: an AutoML Benchmark.
J. Mach. Learn. Res., 2024

Machine learning for spelling acquisition: How accurate is the prediction of specific spelling errors in German primary school students?
Comput. Educ. Artif. Intell., 2024

2023
Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview.
ACM Trans. Evol. Learn. Optim., December, 2023

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges.
WIREs Data. Mining. Knowl. Discov., 2023

Revitalize the Potential of Radiomics: Interpretation and Feature Stability in Medical Imaging Analyses through Groupwise Feature Importance.
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

2022
Multi-Objective Hyperparameter Optimization - An Overview.
CoRR, 2022

2021
Automatic Componentwise Boosting: An Interpretable AutoML System.
CoRR, 2021

2019
mlr3: A modern object-oriented machine learning framework in R.
Dataset, December, 2019

mlr3: A modern object-oriented machine learning framework in R.
J. Open Source Softw., 2019

Multi-Objective Automatic Machine Learning with AutoxgboostMC.
CoRR, 2019

2018
Automatic Gradient Boosting.
CoRR, 2018


  Loading...