Andreas Backhaus

with Seiffert · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Andreas Backhaus trusts overall

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

1. Barbara Hammer
2. Muhammad Aliyu Sulaiman
3. Thomas Villmann
4. Jane Labadin

Who trusts Andreas Backhaus overall

1. Amina Adadi

Papers from Andreas Backhaus's perspective

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

1. Generalized relevance learning vector quantization (Neural Networks)
2. Feature selection based on mutual information (International Conference on Information Technology in Asia)
3. Neural Networks for Pattern Recognition
4. On Estimation of a Probability Density Function and Mode
5. Pattern Recognition and Machine Learning
6. The elements of statistical learning: data mining, inference and prediction
7. Regression Shrinkage and Selection via the Lasso
8. Optimization for machine learning
9. Classification with reject option
10. A Stochastic Approximation Method

Their papers

• Quantitative Measurements of model interpretability for the analysis of spectral data (2013) — 10 citations