Tapio Salakoski
Molecular Biology · 2007–2021
A researcher in the Science corpus: 8 papers; trusts 25 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 70 citations into it; #6,174 of 17,773 by trust here, #4,775 by citations
- Artificial Intelligence — 54 citations into it; #32,872 of 35,345 by trust here, #13,353 by citations
- Natural Language Processing — 39 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Information Extraction — 7 citations into it
Whom Tapio Salakoski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Tomas Mikolov
- Razvan C. Bunescu
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Richard Socher
- Christopher D. Manning
- Sepp Hochreiter
- Alex Krizhevsky
Who trusts Tapio Salakoski overall
Papers from Tapio Salakoski's perspective
Ordered by how strongly the researchers Tapio Salakoski trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Dropout: a simple way to prevent neural networks from overfitting
- ImageNet: A large-scale hierarchical image database
Their papers
- Multilingual is not enough: BERT for Finnish (2019) — 318 citations
- BioInfer: a corpus for information extraction in the biomedical domain (2007) — 538 citations
- A large-scale evaluation of computational protein function prediction (2013) — 1,002 citations
- All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning (2008) — 313 citations
- The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (2019) — 434 citations
- Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative (2021) — 339 citations
- Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016 (2016) — 40 citations
- Distributional Semantics Resources for Biomedical Text Processing (2013) — 512 citations