Sandro Ridella
Artificial Intelligence · 2012–2016
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it
- Statistical Learning Theory — 15 citations into it
- Statistics and Probability — 12 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Control and Systems Engineering — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Sandro Ridella trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter L. Bartlett
- Shahar Mendelson
- Olivier Bousquet
- Yuhai Wu
- Vladimir Koltchinskii
- Vladimir Naumovich Vapni
- Trevor J. Hastie
- Vladimir Naumovich Vapnik
- John Shawe-Taylor
- Corinna Cortes
Who trusts Sandro Ridella overall
Papers from Sandro Ridella's perspective
Ordered by how strongly the researchers Sandro Ridella trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The Nature of Statistical Learning Theory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Support-Vector Networks
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Tikhonov, Ivanov and Morozov regularization for support vector machine learning (2016) — 69 citations
- The 'K' in K-fold Cross Validation (2012) — 367 citations