Craig Macdonald
Information Systems · 2005–2020
A researcher in the Science corpus: 14 papers; trusts 57 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 41 citations into it; #2,131 of 8,771 by trust here, #1,331 by citations
- Artificial Intelligence — 37 citations into it; #32,432 of 35,345 by trust here, #16,166 by citations
- Information Retrieval & Search — 32 citations into it; #373 of 1,022 by trust here, #367 by citations
- Natural Language Processing — 19 citations into it; #3,014 of 5,688 by trust here, #5,092 by citations
- Signal Processing — 16 citations into it; #4,247 of 7,572 by trust here, #4,051 by citations
- Computer Networks and Communications — 13 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it; #15,887 of 21,575 by trust here, #15,529 by citations
- Evaluation & Benchmarks — 6 citations into it; #1,595 of 3,147 by trust here, #2,938 by citations
Whom Craig Macdonald trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gianni Amati
- Stephen E. Robertson
- Iadh Ounis
- Jon M. Kleinberg
- J. Aslam
- Mark H. Montague
- Ronald J. Williams
- Kyunghyun Cho
- Yoshua Bengio
- Ilya Sutskever
Who trusts Craig Macdonald overall
- Jimmy J. Lin
- Aliaksei Severyn
- Shlomo Geva
- Leif Azzopardi
- Zeynep Akkalyoncu Yilmaz
- Peilin Yang
- Andrew Yates
- Matt Crane
- Zhi Zheng
- Joel M. Mackenzie
Papers from Craig Macdonald's perspective
Ordered by how strongly the researchers Craig Macdonald 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
- 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
- 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)
- 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)
Their papers
- Deep Reinforced Query Reformulation for Information Retrieval (2020) — 28 citations
- Toward Reproducible Baselines: The Open-Source IR Reproducibility Challenge (2016) — 111 citations
- Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format (2020) — 46 citations
- Overview of the TREC-2012 Microblog Track (2014) — 141 citations
- Efficient and effective retrieval using selective pruning (2013) — 91 citations
- From Puppy to Maturity: Experiences in Developing Terrier (2012) — 148 citations
- On building a reusable Twitter corpus (2012) — 92 citations
- Overview of the TREC 2011 Microblog Track (2011) — 246 citations
- Exploiting query reformulations for web search result diversification (2010) — 520 citations
- Web Data Mining (2009) — 332 citations
- Web Services Business Process Execution Language (2009) — 531 citations
- Voting for candidates: adapting data fusion techniques for an expert search task (2006) — 295 citations
- Terrier Information Retrieval Platform (2005) — 348 citations
- Terrier : A High Performance and Scalable Information Retrieval Platform