Giorgio Visani

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Statistics and Probability — 12 citations into it
• Safety, Robustness & Interpretability — 10 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Giorgio Visani trusts overall

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

1. Jerome H. Friedman
2. Marco Tulio Ribeiro
3. Alan Agresti
4. Trevor J. Hastie
5. Bradley C. Boehmke
6. Yichen Zhou
7. Daniel W. Apley
8. William H. Greene
9. Sameer Singh
10. A. Goldstein

Papers from Giorgio Visani's perspective

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

1. Random Forests
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Greedy function approximation: A gradient boosting machine.
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Regression Shrinkage and Selection via the Lasso
7. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
8. Attention is All you Need (Neural Information Processing Systems)
9. Anchors: High-Precision Model-Agnostic Explanations
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Metrics for Multi-Class Classification: an Overview (2020) — 1,297 citations
• Statistical stability indices for LIME: Obtaining reliable explanations for machine learning models (2020) — 219 citations