Kassem Fawaz

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Information Systems — 8 citations into it
• Natural Language Processing — 8 citations into it

Whom Kassem Fawaz trusts overall

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

1. Yoon Kim
2. Ellen M. Voorhees
3. Stephen E. Robertson
4. Steven Bird
5. Zhi Xu
6. Kalervo Järvelin
7. Lorrie Faith Cranor
8. Mengqiu Wang
9. Mark A. Hall

Papers from Kassem Fawaz's perspective

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

1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. GloVe: Global Vectors for Word Representation
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning (2018) — 412 citations
• Continuous Authentication for Voice Assistants (2017) — 298 citations