A. Nahid

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it

Whom A. Nahid trusts overall

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

1. Tianqi Chen
2. Artem Dinaburg
3. Yann LeCun
4. Geoffrey E. Hinton

Who trusts A. Nahid overall

1. Zeeshan Ahmad

Papers from A. Nahid's perspective

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

Their papers

• A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework (2021) — 382 citations
• Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach (2019) — 339 citations
• Effective Intrusion Detection System Using XGBoost (2018) — 430 citations