Mehdi Gheisari

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Information Systems — 7 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Mehdi Gheisari trusts overall

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

1. Yoshua Bengio
2. Xavier Glorot
3. Pascal Vincent
4. Philip Chen
5. Katina Michael
6. J. Urgen Schmidhuber
7. Hugo Larochelle
8. Geoffrey E. Hinton
9. Guoliang Li
10. Antoine Bordes

Who trusts Mehdi Gheisari overall

1. Pramila P. Shinde
2. Abeer Saber
3. Zhongyang Han
4. Seema Shah
5. Mohamed Sakr
6. Jun Zhao
7. Dhiraj Neupane
8. A. Shrestha

Papers from Mehdi Gheisari's perspective

Ordered by how strongly the researchers Mehdi Gheisari 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Artificial neural networks training algorithm integrating invasive weed optimization with differential evolutionary model (2021) — 316 citations
• A Survey on Deep Learning in Big Data (2017) — 531 citations