Abdul Sattar
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
Whom Abdul Sattar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Abdul Sattar overall
Papers from Abdul Sattar's perspective
Ordered by how strongly the researchers Abdul Sattar trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Deep Architectures for AI
- Greedy Layer-Wise Training of Deep Networks
- Scaling learning algorithms towards AI
- Deep learning in neural networks: An overview
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Learning multiple layers of representation.
- Long Short-Term Memory
Their papers
- Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network (2014) — 152 citations
- Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins (2016) — 99 citations
- Consumer's intention to purchase 5G: Do environmental awareness, environmental knowledge and health consciousness attitude matter? (2021) — 93 citations