Patrizia Busato
Italian National Conference on Sensors · 2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Whom Patrizia Busato trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Robert E. Schapire
- Leo Breiman
- Jerome H. Friedman
- William S. Cleveland
- D. R. Cox
- Rohan Shah
- Yoav Freund
- Martin A. Riedmiller
- C. A. V. van Beers
Who trusts Patrizia Busato overall
Papers from Patrizia Busato's perspective
Ordered by how strongly the researchers Patrizia Busato trusts endorse each paper. Same corpus, a different order for every researcher.
- Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
- ImageNet classification with deep convolutional neural networks
- Bagging Predictors
- Deep Boltzmann Machines
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Gradient-based learning applied to document recognition
- LIBSVM: A library for support vector machines
- The perceptron: a probabilistic model for information storage and organization in the brain.
- Random Forests
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Machine Learning in Agriculture: A Review (2018) — 2,630 citations