Gabriele Capannini

Artificial Intelligence · 2016

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

Subfields

• Artificial Intelligence — 15 citations into it

Whom Gabriele Capannini trusts overall

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

1. Stephen E. Robertson
2. Hugo Zaragoza
3. B. B. Cambazoglu
4. Thorsten Joachims

Who trusts Gabriele Capannini overall

1. Sebastian Hofstätter
2. Markus Zlabinger

Papers from Gabriele Capannini's perspective

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

1. Early exit optimizations for additive machine learned ranking systems
2. The Probabilistic Relevance Framework: BM25 and Beyond
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Regression Shrinkage and Selection via the Lasso
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Quality versus efficiency in document scoring with learning-to-rank models (2016) — 59 citations