Mario Bkassiny

Computer Networks and Communications · 2013

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 30 citations into it; #7,609 of 9,886 by trust here, #4,405 by citations
• Electrical and Electronic Engineering — 23 citations into it; #11,558 of 16,539 by trust here, #9,402 by citations
• Reinforcement Learning — 12 citations into it
• Artificial Intelligence — 10 citations into it
• Computational Mechanics — 6 citations into it

Whom Mario Bkassiny trusts overall

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

1. Michael L. Littman
2. Richard S. Sutton
3. Martin L. Puterman
4. Ben J. A. Kröse
5. Vladimir Naumovich Vapni
6. Arthur L. Samuel
7. Simon S. Haykin
8. Jonathan Baxter
9. Khaled Ben Letaief
10. Craig Boutilier

Who trusts Mario Bkassiny overall

1. Syeda Manjia Tahsien
2. Fan Meng
3. Hadis Karimipour
4. Mingzhe Chen
5. Peng Chen
6. Tim O'Shea

Papers from Mario Bkassiny's perspective

Ordered by how strongly the researchers Mario Bkassiny 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. Reinforcement Learning: An Introduction
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Survey on Machine-Learning Techniques in Cognitive Radios (2013) — 544 citations