Monika Roopak

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #22,068 of 35,345 by trust here, #32,362 by citations
• Computer Networks and Communications — 6 citations into it; #5,647 of 9,886 by trust here, #8,844 by citations

Whom Monika Roopak trusts overall

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

1. Alex Krizhevsky
2. Iman Sharafaldin
3. Ali Sharif Razavian
4. Baotian Hu
5. Ilya Sutskever
6. Geoffrey E. Hinton
7. Arash Habibi Lashkari
8. Zhengdong Lu
9. Hossein Azizpour

Who trusts Monika Roopak overall

1. Ankit Thakkar
2. Ke He
3. Roberto Doriguzzi Corin
4. Ritika Lohiya
5. Dan Dongseong Kim
6. Stuart Millar

Papers from Monika Roopak's perspective

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

Their papers

• Deep Learning Models for Cyber Security in IoT Networks (2019) — 318 citations