Francesco Mercaldo

Signal Processing · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it; #17,959 of 21,575 by trust here, #18,782 by citations
• Computer Networks and Communications — 9 citations into it

Whom Francesco Mercaldo trusts overall

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

1. Karen Simonyan
2. Engin Kirda
3. Battista Biggio
4. Andrew Zisserman

Who trusts Francesco Mercaldo overall

1. M. Ahsan

Papers from Francesco Mercaldo's perspective

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

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

Their papers

• Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays (2020) — 516 citations
• On the effectiveness of system API-related information for Android ransomware detection (2018) — 84 citations