Mark Sanderson

Information Systems · 1998–2010

A researcher in the Science corpus: 4 papers; trusts 53 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 37 citations into it; #527 of 8,771 by trust here, #2,741 by citations
• Information Retrieval & Search — 31 citations into it; #217 of 1,022 by trust here, #395 by citations
• Artificial Intelligence — 25 citations into it; #7,300 of 35,345 by trust here, #24,417 by citations
• Evaluation & Benchmarks — 24 citations into it
• Natural Language Processing — 9 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Mark Sanderson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ellen M. Voorhees
2. Thorsten Joachims
3. Justin Zobel
4. Pia Borlund
5. Andrew Turpin
6. James Allan
7. Michael E. Lesk
8. Luis von Ahn
9. Chris Buckley
10. W. Bruce Croft

Who trusts Mark Sanderson overall

1. Donna K. Harman
2. Katja Hofmann
3. Aleksandr Chuklin
4. Parikshit Sondhi
5. Alistair Moffat
6. Sri Devi Ravana
7. Guoqing Zheng
8. Yaniv Bernstein
9. Yixing Fan
10. Justin Zobel

Papers from Mark Sanderson's perspective

Ordered by how strongly the researchers Mark Sanderson trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Cumulated gain-based evaluation of IR techniques
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Gradient-based learning applied to document recognition

Their papers

• Test Collection Based Evaluation of Information Retrieval Systems (2010) — 482 citations
• Information retrieval system evaluation: effort, sensitivity, and reliability (2005) — 403 citations
• Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval (2004) — 58 citations
• Advantages of query biased summaries in information retrieval (1998)