David Luis Wiegandt

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Molecular Biology — 20 citations into it
• Natural Language Processing — 6 citations into it

Whom David Luis Wiegandt trusts overall

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

1. Robert Leaman
2. Lawrence R. Rabiner

Papers from David Luis Wiegandt's perspective

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

1. Long Short-Term Memory
2. A tutorial on hidden Markov models and selected applications in speech recognition
3. Semi-supervised Sequence Learning
4. Framewise phoneme classification with bidirectional LSTM and other neural network architectures
5. BANNER: An Executable Survey of Advances in Biomedical Named Entity Recognition (Pacific Symposium on Biocomputing)
6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
7. Mining MEDLINE: Abstracts, Sentences, or Phrases? (Pacific Symposium on Biocomputing)
8. TaggerOne: joint named entity recognition and normalization with semi-Markov Models
9. BioInfer: a corpus for information extraction in the biomedical domain (BMC Bioinformatics)
10. Human symptoms–disease network

Their papers

• Deep learning with word embeddings improves biomedical named entity recognition (2017) — 549 citations