Jan Philip Göpfert

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jan Philip Göpfert trusts overall

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

  1. Albert Bifet
  2. Alexandru Niculescu-Mizil
  3. Trevor J. Hastie
  4. Heitor Murilo Gomes
  5. M. Delgado
  6. R. Caruana
  7. J. Platt
  8. Leo Breiman
  9. G. Holmes
  10. Eva Cernadas

Papers from Jan Philip Göpfert's perspective

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

  1. Random Forests
  2. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  3. Learning in Nonstationary Environments: A Survey
  4. Bagging Predictors
  5. MOA: Massive Online Analysis
  6. Predicting good probabilities with supervised learning
  7. Do we need hundreds of classifiers to solve real world classification problems?
  8. Classification with reject option
  9. Adaptive random forests for evolving data stream classification
  10. Impact of robot failures and feedback on real-time trust (IEEE/ACM International Conference on Human-Robot Interaction)

Their papers