Benjamin Floyd

Cognitive Neuroscience · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Floyd trusts overall

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

  1. Geraint E. Rees
  2. Malte Kuss
  3. Andrea Arcuri
  4. Vaidy Mani
  5. Jonathan Sillito
  6. Anders Eklund
  7. Jeanette A. Mumford
  8. Raymond P. L. Buse
  9. Nathalie Tzourio-Mazoyer
  10. Carl E. Rasmussen

Papers from Benjamin Floyd's perspective

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

  1. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  2. Support vector machines for temporal classification of block design fMRI data (NeuroImage)
  3. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (NeuroImage)
  4. Questions programmers ask during software evolution tasks (SIGSOFT '06/FSE-14)
  5. On the naturalness of software
  6. Kernel Methods for Pattern Analysis
  7. Assessing Approximate Inference for Binary Gaussian Process Classification (Journal of machine learning research)
  8. Automatic patch generation learned from human-written patches (International Conference on Software Engineering)
  9. Dynamic reconfiguration of human brain networks during learning (Proceedings of the National Academy of Sciences of the United States of America)
  10. Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates (Proceedings of the National Academy of Sciences of the United States of America)

Their papers