Petra Philips

2008

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Petra Philips trusts overall

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

1. Bernhard Schölkopf

Who trusts Petra Philips overall

1. Gunnar Rätsch

Papers from Petra Philips's perspective

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

1. The Nature of Statistical Learning Theory
2. Learning with Kernels: support vector machines, regularization, optimization, and beyond
3. Large Scale Multiple Kernel Learning
4. Computational analysis of core promoters in the Drosophila genome (Genome Biology)
5. Visualisation and interpretation of Support Vector Regression models.
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• POIMs: positional oligomer importance matrices—understanding support vector machine-based signal detectors (2008) — 73 citations