Syeda Manjia Tahsien

Computer Networks and Communications · 2020

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 55 citations into it
• Artificial Intelligence — 33 citations into it
• Signal Processing — 23 citations into it
• Information Systems — 13 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Electrical and Electronic Engineering — 6 citations into it

Whom Syeda Manjia Tahsien trusts overall

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

1. S. Kotsiantis
2. Muthu Dayalan
3. Anil K. Jain
4. Mrutyunjaya Panda
5. Abebe Abeshu Diro
6. Haibo He
7. Anna L. Buczak
8. Rakesh Agrawal
9. Gerhard Münz
10. Rohan Doshi

Papers from Syeda Manjia Tahsien's perspective

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

1. The Nature of Statistical Learning Theory
2. ImageNet classification with deep convolutional neural networks
3. Human-level control through deep reinforcement learning
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Random Forests
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Reinforcement Learning: An Introduction
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey (2020) — 371 citations