Ursula Ganzer

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 Ursula Ganzer trusts

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

1. David Ruppert (in Evaluation & Benchmarks)

Papers from Ursula Ganzer's perspective

Ordered by how strongly the researchers Ursula Ganzer 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. This PDF file includes: Materials and Methods

Their papers

• Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules (2007) — 59 citations