Ramiz M. Aliguliyev
Artificial Intelligence · 2009–2013
A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it; #12,334 of 35,345 by trust here, #29,412 by citations
- Natural Language Processing — 13 citations into it; #4,706 of 5,688 by trust here, #5,502 by citations
- Computational Theory and Mathematics — 5 citations into it
Whom Ramiz M. Aliguliyev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dragomir R. Radev
- Chin-Yew Lin
- Günes Erkan
- Philipp Koehn
- Rada Mihalcea
- Rudi Cilibrasi
- Ying Zhao
- Massimiliano Pavan
- Dou Shen
- Danushka Bollegala
Who trusts Ramiz M. Aliguliyev overall
- Mahak Gambhir
- Rasim M. Alguliyev
- Vishal Gupta
- Tom Kenter
- Nijat R. Isazade
- Michael Völske
- Frane Saric
- Mehdi Allahyari
Papers from Ramiz M. Aliguliyev's perspective
Ordered by how strongly the researchers Ramiz M. Aliguliyev trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Multiple documents summarization based on evolutionary optimization algorithm (2013) — 124 citations
- A new sentence similarity measure and sentence based extractive technique for automatic text summarization (2009) — 307 citations