Serguei V. S. Pakhomov
Artificial Intelligence · 2003–2017
A researcher in the Science corpus: 7 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it
- Natural Language Processing — 10 citations into it
Whom Serguei V. S. Pakhomov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher D. Manning
- David Aronow
- Hinrich Schütze
- Satanjeev Banerjee
- David D. Lewis
- Siddharth Patwardhan
- George A. Miller
- Fangfang Feng
- Ted Pedersen
- Dekang Lin
Who trusts Serguei V. S. Pakhomov overall
Papers from Serguei V. S. Pakhomov's perspective
Ordered by how strongly the researchers Serguei V. S. Pakhomov trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Book Reviews: WordNet: An Electronic Lexical Database
- Gradient-based learning applied to document recognition
- 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)
- Indexing by Latent Semantic Analysis
Their papers
- CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines (2017) — 343 citations
- Measures of semantic similarity and relatedness in the biomedical domain (2007) — 615 citations
- Investigating Longitudinal Tobacco Use Information from Social History and Clinical Notes in the Electronic Health Record (2016) — 16 citations
- UMLS-Interface and UMLS-Similarity : Open Source Software for Measuring Paths and Semantic Similarity (2009) — 176 citations
- Electronic medical records for clinical research: application to the identification of heart failure. (2007) — 128 citations
- Systolic and diastolic heart failure in the community. (2006) — 927 citations
- Identification of Patients with Congestive Heart Failure using a Binary Classifier: A Case Study. (2003) — 10 citations