Salvatore Rinzivillo
Artificial Intelligence · 2011–2021
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 101 citations into it
- Safety, Robustness & Interpretability — 58 citations into it
- Computer Vision and Pattern Recognition — 27 citations into it
- Transportation — 21 citations into it
- Information Systems — 15 citations into it
- AI Ethics, Fairness & Society — 5 citations into it
Whom Salvatore Rinzivillo trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Alves Freitas (in Artificial Intelligence)
- Been Kim (in Safety, Robustness & Interpretability)
- Tim Miller (in Artificial Intelligence)
- Cynthia Rudin (in Artificial Intelligence)
- Dino Pedreschi (in Artificial Intelligence)
- Simon N. Wood (in Management Science and Operations Research)
- Hannah Snyder (in Information Systems and Management)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Yoshua Bengio (in Artificial Intelligence)
Papers from Salvatore Rinzivillo's perspective
Ordered by how strongly the researchers Salvatore Rinzivillo trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Benchmarking and survey of explanation methods for black box models (2021) — 345 citations
- Returners and explorers dichotomy in human mobility (2015) — 517 citations
- Unveiling the complexity of human mobility by querying and mining massive trajectory data (2011) — 335 citations