Mohamed Jaward Bah

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Computer Networks and Communications — 20 citations into it
• Signal Processing — 16 citations into it
• Statistics and Probability — 12 citations into it
• Biomedical Engineering — 6 citations into it
• Civil and Structural Engineering — 5 citations into it
• Epidemiology — 5 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Mohamed Jaward Bah trusts overall

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

1. Hans-Peter Kriegel
2. Aleksandar Lazarevic
3. Arthur Zimek
4. Charu C. Aggarwal
5. Markus Goldstein
6. Martin Ester
7. Jiawei Han
8. Peer Kröger
9. Ricardo José Gabrielli Barreto Campello
10. Raghavendra Chalapathy

Papers from Mohamed Jaward Bah's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. LOF: identifying density-based local outliers
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Progress in Outlier Detection Techniques: A Survey (2019) — 418 citations