Edgar Meij

Artificial Intelligence · 2009–2017

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #15,428 of 35,345 by trust here, #25,040 by citations
• Information Systems — 11 citations into it; #2,981 of 8,771 by trust here, #5,713 by citations
• Molecular Biology — 5 citations into it

Whom Edgar Meij trusts overall

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

1. David N. Milne
2. Paolo Ferragina
3. Brendan T. O'Connor
4. Xiaohua Liu
5. Ian H. Witten
6. Jerome H. Friedman
7. Ugo Scaiella
8. Eric R. Ziegel
9. Silviu Cucerzan
10. Ramnath Balasubramanyan

Who trusts Edgar Meij overall

1. Ikuya Yamada
2. Marco Cornolti
3. Hongzhao Huang
4. Hiroyuki Shindo
5. Hideaki Takeda
6. Paolo Ferragina
7. Larry Heck
8. Yoshiyasu Takefuji
9. Andrew Chisholm

Papers from Edgar Meij's perspective

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

1. Random Forests
2. The Elements of Statistical Learning
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. TAGME: on-the-fly annotation of short text fragments (by wikipedia entities)
5. Attention is All you Need (Neural Information Processing Systems)
6. Greedy function approximation: A gradient boosting machine.
7. Learning to link with wikipedia
8. Large-Scale Named Entity Disambiguation Based on Wikipedia Data (Conference on Empirical Methods in Natural Language Processing)
9. A survey of named entity recognition and classification
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Structuring and extracting knowledge for the support of hypothesis generation in molecular biology (2009) — 11,248 citations
• Utilizing Knowledge Graphs in Text-centric Information Retrieval (2017) — 64 citations
• Adding semantics to microblog posts (2012) — 327 citations