Fotios Zantalis

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 7 citations into it
• Computer Networks and Communications — 7 citations into it

Whom Fotios Zantalis trusts overall

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

1. Paul J. Werbos
2. Anil K. Jain
3. Nitin A. Naik
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Yann LeCun
7. Geoffrey E. Hinton
8. Yoshua Bengio
9. Rainer Lienhart
10. Jimmy Ba

Who trusts Fotios Zantalis overall

1. D. M. Abdullah
2. Dionisis Kandris
3. Adnan Mohsin Abdulazeez

Papers from Fotios Zantalis's perspective

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

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

Their papers

• A Review of Machine Learning and IoT in Smart Transportation (2019) — 509 citations