W. Wołyński

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom W. Wołyński trusts overall

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

  1. R. Fisher
  2. Elliott Sober

Papers from W. Wołyński's perspective

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

  1. Clustering for Sparsely Sampled Functional Data
  2. A global geometric framework for nonlinear dimensionality reduction.
  3. Model-based clustering for multivariate functional data (Computational Statistics & Data Analysis)
  4. Methods of canonical analysis for functional data
  5. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
  6. Second-Order Comparison of Gaussian Random Functions and the Geometry of DNA Minicircles
  7. Achieving near perfect classification for functional data
  8. Dynamical Correlation for Multivariate Longitudinal Data
  9. Uniform consistency of kNN regressors for functional variables
  10. Principal Component Analysis

Their papers