Jörg Hakenberg

Artificial Intelligence · 2008–2018

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #30,680 of 35,345 by trust here, #29,412 by citations
• Natural Language Processing — 6 citations into it

Whom Jörg Hakenberg trusts overall

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

1. Alessandro Moschitti

Who trusts Jörg Hakenberg overall

1. Zhiyong Lu

Papers from Jörg Hakenberg's perspective

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

1. Kernel Methods for Relation Extraction
2. Identity Mappings in Deep Residual Networks
3. Transductive Inference for Text Classification using Support Vector Machines
4. Convolution kernels on discrete structures
5. Subsequence Kernels for Relation Extraction (Neural Information Processing Systems)
6. MINT: the Molecular INTeraction database (Nucleic Acids Res.)
7. Advances in kernel methods: support vector learning
8. Convolution Kernels for Natural Language (Neural Information Processing Systems)
9. A decision-theoretic generalization of on-line learning and an application to boosting
10. Mining MEDLINE: Abstracts, Sentences, or Phrases? (Pacific Symposium on Biocomputing)

Their papers

• Overview of BioCreative II gene normalization (2008) — 370 citations
• A Comprehensive Benchmark of Kernel Methods to Extract Protein–Protein Interactions from Literature (2010) — 206 citations
• Supplementary Information for Predicting the clinical impact of human mutation with deep neural networks (2018)
• Genomic Hallmarks and Structural Variation in Metastatic Prostate Cancer. (2018) — 653 citations
• Predicting the clinical impact of human mutation with deep neural networks (2018) — 44 citations