Abeed Sarker
Natural Language Processing · 2014–2015
A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 19 citations into it
- Computational Theory and Mathematics — 14 citations into it; #8,502 of 12,182 by trust here, #9,804 by citations
- Molecular Biology — 13 citations into it
- Artificial Intelligence — 12 citations into it
- Toxicology — 12 citations into it; #6 of 76 by trust here, #26 by citations
- Statistics and Probability — 8 citations into it
Whom Abeed Sarker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alan R. Aronson
- Alexander S. Yeh
- Chih-Jen Lin
- A. Viera
- Andrew Yates
- Harsha Gurulingappa
- Robert Leaman
- Michael Kuhn
- Olutobi Owoputi
- Graciela Gonzalez
Who trusts Abeed Sarker overall
- Harsurinder Kaur
- Azadeh Nikfarjam
- Rachel E. Ginn
- Husanbir Singh Pannu
- Yifan Peng
- Avleen Kaur Malhi
- Karen O'Connor
- Liwei Wang
Papers from Abeed Sarker's perspective
Ordered by how strongly the researchers Abeed Sarker trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features (2015) — 565 citations
- Utilizing Social Media Data for Pharmacovigilance: A Review (2015) — 501 citations
- Portable Automatic Text Classification for Adverse Drug Reaction Detection via Multi-corpus Training (2014) — 374 citations