Arabi Keshk

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it

Whom Arabi Keshk trusts overall

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

1. Fred W. Glover

Papers from Arabi Keshk's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Rethinking the Inception Architecture for Computer Vision
4. On the importance of initialization and momentum in deep learning
5. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
6. A Survey on Transfer Learning
7. ImageNet classification with deep convolutional neural networks
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. In Modern Heuristic Techniques for Combinatorial Problems

Their papers

• A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique (2021) — 326 citations
• Cloud task scheduling based on ant colony optimization (2013) — 334 citations