Giuseppe Argenziano
Artificial Intelligence · 2003–2020
A researcher in the Science corpus: 5 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
Whom Giuseppe Argenziano trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Giuseppe Argenziano overall
Papers from Giuseppe Argenziano's perspective
Ordered by how strongly the researchers Giuseppe Argenziano trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Rethinking the Inception Architecture for Computer Vision
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Human–computer collaboration for skin cancer recognition (2020) — 912 citations
- Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study (2019) — 455 citations
- Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets (2019) — 517 citations
- Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks (2019) — 303 citations
- Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet. (2003) — 1,204 citations