Ingo Feinerer

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #15,286 of 35,345 by trust here, #17,776 by citations
• Natural Language Processing — 10 citations into it
• Information Systems — 5 citations into it; #2,947 of 8,771 by trust here, #3,402 by citations

Whom Ingo Feinerer trusts overall

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

1. Robert Gentleman
2. Kurt Hornik
3. John Hartigan
4. T. Landauer
5. S. V. N. Vishwanathan
6. Alexander Strehl
7. Michael S. Steinbach
8. Alex Smola
9. David D. Lewis
10. George Karypis

Who trusts Ingo Feinerer overall

1. Julia Silge
2. Bettina Grün
3. Gustavo Cattelan Nobre
4. Margaret E. Roberts
5. Stephen C. Mangi
6. Elaine Tavares
7. David Robinson
8. Kurt Hornik
9. Brandon M Stewart
10. M. Buehlmaier

Papers from Ingo Feinerer's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Learning with Kernels: support vector machines, regularization, optimization, and beyond

Their papers

• Text Mining Infrastructure in R (2008) — 1,351 citations