Marten Heidemeyer

Computational Theory and Mathematics · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marten Heidemeyer trusts overall

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

  1. Jerome H. Friedman
  2. Nicolai Meinshausen
  3. Yoshihiro Yamanishi
  4. Kevin Bleakley
  5. Laurent Jacob
  6. Tianqi Chen
  7. Yehuda Koren
  8. T. van Laarhoven

Who trusts Marten Heidemeyer overall

  1. Stefan Naulaerts

Papers from Marten Heidemeyer's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Prediction of drug–target interaction networks from the integration of chemical and genomic spaces (Intelligent Systems in Molecular Biology)
  3. Gaussian interaction profile kernels for predicting drug-target interaction (Bioinform.)
  4. Supervised prediction of drug–target interactions using bipartite local models (Bioinform.)
  5. Drug Target Identification Using Side-Effect Similarity
  6. XGBoost: A Scalable Tree Boosting System
  7. Matrix Factorization Techniques for Recommender Systems
  8. Protein-ligand interaction prediction: an improved chemogenomics approach (Bioinform.)
  9. Similarity-based machine learning methods for predicting drug-target interactions: a brief review (Briefings Bioinform.)
  10. A fast flexible docking method using an incremental construction algorithm.

Their papers