Nina Ihde

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 Nina Ihde trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Douglas A. Reynolds
2. Diederik P. Kingma
3. John C. Gower
4. Donald F. Specht
5. Naomi S. Altman
6. Andreas Karlsson
7. Eric R. Ziegel
8. Niko Speybroeck

Papers from Nina Ihde's perspective

Ordered by how strongly the researchers Nina Ihde trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Scikit-learn: Machine Learning in Python
3. Support-Vector Networks
4. Random Forests
5. Ridge Regression: Biased Estimation for Nonorthogonal Problems
6. Generalized Linear Models
7. Datasheets for datasets
8. Statistical Analysis With Missing Data
9. Classification and regression trees
10. Efficient and Robust Automated Machine Learning

Their papers

• The Effects of Data Quality on Machine Learning Performance (2022)
• The effects of data quality on machine learning performance on tabular data (2022) — 161 citations