Mohamed Hammad

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 Hammad 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 Hammad's perspective

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

1. LOF: identifying density-based local outliers
2. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Feature bagging for outlier detection (Knowledge Discovery and Data Mining)
10. Anomaly detection: A survey

Their papers

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