Matthias Reif

Artificial Intelligence · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #8,352 of 35,345 by trust here, #17,110 by citations
• Computer Vision and Pattern Recognition — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Information Systems — 5 citations into it

Whom Matthias Reif trusts overall

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

1. Pavel Brazdil
2. Chih-Jen Lin
3. Shawkat Ali
4. Carlos Soares
5. David E. Goldberg
6. Xin Yao
7. Arthur U. Asuncion
8. J. Ross Quinlan
9. Trevor J. Hastie
10. João Gama

Who trusts Matthias Reif overall

1. Matthias Feurer
2. Frank Hutter
3. Marc-André Zöller
4. Katharina Eggensperger
5. Martin Wistuba
6. Marco F. Huber
7. Jan N. van Rijn
8. Jost Tobias Springenberg
9. Christiane Lemke
10. Nicoló Fusi

Papers from Matthias Reif's perspective

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

1. The Nature of Statistical Learning Theory
2. Machine Learning, Neural and Statistical Classification
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Random Forests
6. LIBSVM: A library for support vector machines
7. Support-Vector Networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Multitask Learning
10. Bagging Predictors

Their papers

• Automatic classifier selection for non-experts (2014) — 163 citations
• Meta-learning for evolutionary parameter optimization of classifiers (2012) — 173 citations