Joseph J. Titano

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Statistics and Probability — 7 citations into it

Whom Joseph J. Titano trusts overall

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

1. Kaiming He

Papers from Joseph J. Titano's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet Large Scale Visual Recognition Challenge
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study (2018) — 1,601 citations
• Automated deep-neural-network surveillance of cranial images for acute neurologic events (2018) — 397 citations
• Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology Reports. (2018) — 142 citations