Erica Pensini
Current Research in Food Science · 2021
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Erica Pensini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Erica Pensini's perspective
Ordered by how strongly the researchers Erica Pensini trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Fully convolutional networks for semantic segmentation
- Support-Vector Networks
- Random Forests
- Machine vision technology for agricultural applications
- Improving quality inspection of food products by computer vision: a review
- The global k-means clustering algorithm (Pattern Recognition)
- Bayesian Network Classifiers
- Theory of the backpropagation neural network
- An Introduction to Machine Learning
Their papers
- Deep learning and machine vision for food processing: A survey (2021) — 319 citations