S. Mancell

2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom S. Mancell trusts overall

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

  1. Roger N. Shepard
  2. Alan J. Izenman
  3. Jan de Leeuw
  4. Fabian Pedregosa

Who trusts S. Mancell overall

  1. Constantine Sedikides
  2. John Aldo Lee
  3. Yanis Bahroun
  4. David Chan
  5. Cong Fu
  6. Kevin M. Carter
  7. Hassan Ismail Fawaz
  8. Ziaul Haque Munim
  9. Lu Yu
  10. T. Wildschut

Papers from S. Mancell's perspective

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

  1. Applications of Convex Analysis to Multidimensional Scaling
  2. Scikit-learn: Machine Learning in Python
  3. Modern Multivariate Statistical Techniques
  4. Stimulus and response generalization: A stochastic model relating generalization to distance in psychological space
  5. Result Analysis of the NIPS 2003 Feature Selection Challenge
  6. Modular Toolkit for Data Processing (MDP): A Python Data Processing Framework
  7. Python: Batteries Included
  8. Generalized Linear Models
  9. Modern Multidimensional Scaling: Theory and Applications
  10. Information Theory and an Extension of the Maximum Likelihood Principle

Their papers