Stefano Melacci

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #12,766 of 35,345 by trust here, #24,417 by citations
• Computer Vision and Pattern Recognition — 6 citations into it
• Statistical Learning Theory — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Stefano Melacci trusts overall

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

1. Thorsten Joachims
2. Olivier Chapelle
3. Mikhail Belkin
4. Vladimir Naumovich Vapni
5. Matthias W. Seeger
6. Jonathan Richard Shewchuk
7. Xiaojin Zhu
8. Partha Niyogi
9. Vikas Sindhwani
10. S. Sathiya Keerthi

Who trusts Stefano Melacci overall

1. Meng Wang
2. Vijay Garla
3. Gao Huang
4. Jeff Donahue
5. Xueliang Liu
6. Caroline Taylor
7. Xindong Wu
8. Shiji Song
9. Judy Hoffman
10. Weijie Fu

Papers from Stefano Melacci's perspective

Ordered by how strongly the researchers Stefano Melacci 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. The Nature of Statistical Learning Theory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Laplacian Support Vector Machines Trained in the Primal (2009) — 390 citations