Detlev Sülzle

2007

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

Whom Detlev Sülzle trusts

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

  1. David Ruppert (in Evaluation & Benchmarks)

Papers from Detlev Sülzle's perspective

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

  1. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. Introduction to Support Vector Machines
  4. Current Status of Methods for Defining the Applicability Domain of (Quantitative) Structure-Activity Relationships (Alternatives to laboratory animals : ATLA)
  5. Can we estimate the accuracy of ADME-Tox predictions?
  6. Statistical Learning Theory
  7. An introduction to kernel-based learning algorithms
  8. GENERATIVE ADVERSARIAL NETS
  9. Learning Multiple Layers of Features from Tiny Images
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers