Celine Vens
Molecular Biology · 2008–2019
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 13 citations into it; #11,845 of 17,773 by trust here, #11,410 by citations
Whom Celine Vens trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- B. Taskar
- Ioannis Tsochantaridis
- Stephen F. Altschul
- Yu Li
- Carlos Guestrin
- Thorsten Joachims
Who trusts Celine Vens overall
- Jesse Read
- E. Gibaja Galindo
- Yu Zhang
- Weiwei Cheng
- Wei Bi
- Konstantinos Sechidis
- Felipe Kenji Nakano
- Vedrana Vidulin
- Bernhard Pfahringer
- Grigorios Tsoumakas
Papers from Celine Vens's perspective
Ordered by how strongly the researchers Celine Vens trusts endorse each paper. Same corpus, a different order for every researcher.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Max-Margin Markov Networks
- Large Margin Methods for Structured and Interdependent Output Variables
- C4.5: Programs for Machine Learning
- Continual Lifelong Learning with Neural Networks: A Review (Neural Networks)
- The relationship between Precision-Recall and ROC curves
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- DEEPre: sequence-based enzyme EC number prediction by deep learning
- Incremental Algorithms for Hierarchical Classification (Neural Information Processing Systems)
Their papers
- Decision trees for hierarchical multi-label classification (2008) — 718 citations
- Machine learning for discovering missing or wrong protein function annotations (2019) — 29 citations
- Predicting human olfactory perception from chemical features of odor molecules (2017) — 307 citations