Candice Bentéjac

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Candice Bentéjac trusts overall

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

  1. Jerome H. Friedman
  2. Niko Speybroeck
  3. Jaka Demsar
  4. Leo Breiman
  5. R. Caruana
  6. Tianqi Chen
  7. Trevor J. Hastie
  8. Thomas G. Dietterich
  9. David López Vilariño
  10. Alexandru Niculescu-Mizil

Who trusts Candice Bentéjac overall

  1. Azal Ahmad Khan
  2. Omkar Chaudhari

Papers from Candice Bentéjac's perspective

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

  1. Random Forests
  2. Scikit-learn: Machine Learning in Python
  3. Greedy function approximation: A gradient boosting machine.
  4. Stochastic gradient boosting
  5. ImageNet classification with deep convolutional neural networks
  6. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. XGBoost: A Scalable Tree Boosting System
  9. Gradient-based learning applied to document recognition
  10. The Nature of Statistical Learning Theory

Their papers