Muhammad Farooq Khan Niazi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Generative Models — 6 citations into it
• Radiology, Nuclear Medicine and Imaging — 6 citations into it

Whom Muhammad Farooq Khan Niazi trusts overall

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

1. Russel E. Caflisch
2. Mehdi Mirza
3. Hamid R. Tizhoosh
4. Harsh Rai
5. Christian Szegedy
6. M. Shaban
7. Simon Osindero
8. Fuyong Xing
9. Liron Pantanowitz
10. Satu Elisa Schaeffer

Who trusts Muhammad Farooq Khan Niazi overall

1. Zodwa Dlamini
2. F. Francies

Papers from Muhammad Farooq Khan Niazi's perspective

Ordered by how strongly the researchers Muhammad Farooq Khan Niazi 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Rethinking the Inception Architecture for Computer Vision

Their papers

• Digital Pathology and Artificial Intelligence (2019) — 1,006 citations