Hendrik Patzlaff
Artificial Intelligence · 2022
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it
- Management Science and Operations Research — 10 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Statistics and Probability — 8 citations into it
- Optimization & Training — 7 citations into it
Whom Hendrik Patzlaff trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hendrik Patzlaff's perspective
Ordered by how strongly the researchers Hendrik Patzlaff trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Scikit-learn: Machine Learning in Python
- Support-Vector Networks
- Random Forests
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Datasheets for datasets
- Generalized Linear Models
- Statistical Analysis With Missing Data
- Classification and regression trees
- Efficient and Robust Automated Machine Learning