Abolghasem Sadeghi-Niaraki
Management Science and Operations Research · 2018–2021
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 14 citations into it; #10,907 of 11,946 by trust here, #8,469 by citations
- Model Architectures — 5 citations into it; #2,061 of 2,278 by trust here, #2,078 by citations
Whom Abolghasem Sadeghi-Niaraki trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sepp Hochreiter
- Armin Jabbarzadeh
- Tuong Le
- Serafim Opricovic
- Mike Schuster
- M. Velasquez
- Gwo-Hshiung Tzeng
- Yang Peng
- Minh Dang
- Jeffrey Pennington
Who trusts Abolghasem Sadeghi-Niaraki overall
Papers from Abolghasem Sadeghi-Niaraki's perspective
Ordered by how strongly the researchers Abolghasem Sadeghi-Niaraki trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Efficient Estimation of Word Representations in Vector Space
- GloVe: Global Vectors for Word Representation
- ImageNet: A large-scale hierarchical image database
Their papers
- Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network (2018) — 225 citations
- Comparison between Multi-Criteria Decision-Making Methods and Evaluating the Quality of Life at Different Spatial Levels (2021) — 53 citations
- A Review on Mixed Reality: Current Trends, Challenges and Prospects (2020) — 316 citations
- Gully erosion susceptibility mapping using artificial intelligence and statistical models (2020) — 57 citations