Andrea Passerini
Artificial Intelligence · 2006–2020
A researcher in the Science corpus: 6 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it
- Computer Vision and Pattern Recognition — 29 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Signal Processing — 11 citations into it
- Management Science and Operations Research — 9 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Statistics and Probability — 6 citations into it
Whom Andrea Passerini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Adnan Darwiche
- Clark W. Barrett
- Daphne Koller
- Mark Chavira
- Tian Sang
- Vaishak Belle
- Steffen L. Lauritzen
- Roberto Sebastiani
- Nir Friedman
- Geoffrey E. Hinton
Who trusts Andrea Passerini overall
Papers from Andrea Passerini's perspective
Ordered by how strongly the researchers Andrea Passerini 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- DISULFIND: a disulfide bonding state and cysteine connectivity prediction server (2006) — 348 citations
- Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound (2020) — 462 citations
- Continual egocentric object recognition (2019) — 15 citations
- Component Caching in Hybrid Domains with Piecewise Polynomial Densities (2016) — 25 citations
- Hashing-Based Approximate Probabilistic Inference in Hybrid Domains (2015) — 56 citations
- Probabilistic Inference in Hybrid Domains by Weighted Model Integration (2015) — 123 citations