Gordon V. Cormack
Information Retrieval & Search · 1997–2018
A researcher in the Science corpus: 12 papers; trusts 20 researchers and is trusted by 54 researchers here, as inferred from the citation graph.
Subfields
- Information Retrieval & Search — 30 citations into it; #136 of 1,022 by trust here, #246 by citations
- Artificial Intelligence — 29 citations into it; #8,677 of 35,345 by trust here, #8,619 by citations
- Information Systems — 29 citations into it; #329 of 8,771 by trust here, #594 by citations
- Evaluation & Benchmarks — 26 citations into it
- Natural Language Processing — 9 citations into it; #5,023 of 5,688 by trust here, #5,502 by citations
- Computer Networks and Communications — 5 citations into it
Whom Gordon V. Cormack trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bryan Klimt
- Stephen E. Robertson
- Thorsten Joachims
- Tom Fawcett
- Ron Kohavi
- C. Clarke
- Jimmy J. Lin
- Marti A. Hearst
- Yiming Yang
- Geoffrey E. Hinton
Who trusts Gordon V. Cormack overall
- Battista Biggio
- Blaine Nelson
- Jimmy J. Lin
- Haotian Zhang
- Zeynep Akkalyoncu Yilmaz
- Donna K. Harman
- Tiago A. Almeida
- Giorgio Fumera
- Charu C. Aggarwal
- Rushdi Shams
Papers from Gordon V. Cormack's perspective
Ordered by how strongly the researchers Gordon V. Cormack trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Reciprocal rank fusion outperforms condorcet and individual rank learning methods (2009) — 1,081 citations
- Novelty and diversity in information retrieval evaluation (2008) — 1,088 citations
- Email Spam Filtering: A Systematic Review (2008) — 346 citations
- Effective User Interaction for High-Recall Retrieval: Less is More (2018) — 29 citations
- A System for Efficient High-Recall Retrieval (2018) — 47 citations
- Evaluating sentence-level relevance feedback for high-recall information retrieval (2018) — 27 citations
- Overview of the TREC 2011 Legal Track (2011) — 31 citations
- Efficient and effective spam filtering and re-ranking for large web datasets (2010) — 355 citations
- Information Retrieval: Implementing and Evaluating Search Engines (2010) — 545 citations
- TREC 2007 Spam Track Overview (2007) — 249 citations
- Spam Corpus Creation for TREC (2005) — 110 citations
- Relevance ranking for one to three term queries (1997)