S. Zaidi

Artificial Intelligence · with Danish · 2012–2020

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Optimization & Training — 5 citations into it

Whom S. Zaidi trusts overall

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

1. Chih-Jen Lin
2. Vladimir Naumovich Vapni
3. Alex Smola
4. Vladimir Naumovich Vapnik
5. K. Kavaklioğlu

Papers from S. Zaidi's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Statistical learning theory
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• A novel support vector regression (SVR) model for the prediction of splice strength of the unconfined beam specimens (2020) — 110 citations
• Development of SVR-based model and comparative analysis with MLR and ANN models for predicting the sorption capacity of Cr(VI) (2017) — 98 citations
• Support vector regression model for predicting the sorption capacity of lead (II) (2016) — 59 citations
• Development of support vector regression (SVR)-based model for prediction of circulation rate in a vertical tube thermosiphon reboiler (2012) — 49 citations