Mathias Lietaert

Molecular Biology · 2019

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

Whom Mathias Lietaert trusts overall

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

  1. Yu Li
  2. Maxat Kulmanov
  3. Jonatas Wehrmann
  4. Daniela Stojanova
  5. German Ignacio Parisi
  6. Celine Vens

Papers from Mathias Lietaert's perspective

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

  1. Continual Lifelong Learning with Neural Networks: A Review (Neural Networks)
  2. DEEPre: sequence-based enzyme EC number prediction by deep learning
  3. DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier
  4. A large-scale evaluation of computational protein function prediction
  5. The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomes. (Nucleic Acids Research)
  6. Cascaded multiple classifiers for secondary structure prediction
  7. SupportNet: solving catastrophic forgetting in class incremental learning with support data
  8. Decision trees for hierarchical multi-label classification
  9. Deep learning in bioinformatics: introduction, application, and perspective in big data era (bioRxiv)
  10. Hierarchical Multi-Label Classification Networks

Their papers