Veronique Feldheim

2016–2017

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Whom Veronique Feldheim trusts overall

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

1. Max Kuhn

Who trusts Veronique Feldheim overall

1. Tolga Ergen
2. Nashreen Nesa
3. Lars Zimmermann
4. Andrés Camero
5. Ying Sun
6. Stephen A. Haben
7. Suleyman Serdar Kozat
8. Indrajit Banerjee
9. Shiqiang Wang

Papers from Veronique Feldheim's perspective

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

1. The Elements of Statistical Learning
2. Regression Shrinkage and Selection via the Lasso
3. Neural Networks for Pattern Recognition
4. The Nature of Statistical Learning Theory
5. Modern Applied Statistics With S
6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
7. Regularization Paths for Generalized Linear Models via Coordinate Descent
8. Experiments with a New Boosting Algorithm
9. Pattern Recognition and Neural Networks
10. Heuristics of instability and stabilization in model selection

Their papers

• Data driven prediction models of energy use of appliances in a low-energy house (2017) — 557 citations
• Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models (2016) — 547 citations