R. Vinayakumar
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it
- Computer Networks and Communications — 27 citations into it
- Signal Processing — 19 citations into it
- Model Architectures — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom R. Vinayakumar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- L. V. D. van der Maaten
- Sepp Hochreiter
- Jeffrey L. Elman
- Yoon Kim
- Karen Simonyan
- Yann LeCun
- Yoshua Bengio
- J. Urgen Schmidhuber
- Ahmad Y. Javaid
Who trusts R. Vinayakumar overall
- Kamran Shaukat
- Asifullah Khan
- Yihan Xiao
- Ke He
- Suhuai Luo
- Anabia Sohail
- Cheng Xing
- Omer Berat Sezer
- Dan Dongseong Kim
Papers from R. Vinayakumar's perspective
Ordered by how strongly the researchers R. Vinayakumar trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Stock price prediction using LSTM, RNN and CNN-sliding window model (2017) — 858 citations
- Deep Learning Approach for Intelligent Intrusion Detection System (2019) — 1,514 citations
- Applying convolutional neural network for network intrusion detection (2017) — 451 citations