Desiré Paelinckx

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Desiré Paelinckx trusts overall

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

  1. Leo Breiman
  2. Thomas G. Dietterich
  3. J. Ross Quinlan
  4. Ron Kohavi
  5. Yoav Freund
  6. Farid Melgani
  7. Eric Bauer
  8. Mahesh Pal
  9. Saso Dzeroski
  10. Rick L. Lawrence

Who trusts Desiré Paelinckx overall

  1. Aaron E. Maxwell
  2. Joachim Niemeyer
  3. Michal Wozniak
  4. Michele Dalponte

Papers from Desiré Paelinckx's perspective

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

  1. Bagging Predictors
  2. Experiments with a New Boosting Algorithm
  3. Random Forests
  4. C4.5: Programs for Machine Learning
  5. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
  6. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
  7. Classification of hyperspectral remote sensing images with support vector machines (IEEE Transactions on Geoscience and Remote Sensing)
  8. Wrappers for Feature Subset Selection
  9. The Nature of Statistical Learning Theory
  10. Using Imaging Spectroscopy to Study Ecosystem Processes and Properties

Their papers