Monica Baciu

Artificial Intelligence · 2007–2020

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Monica Baciu trusts overall

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

  1. Jerome H. Friedman
  2. Eric R. Ziegel

Papers from Monica Baciu's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. The Elements of Statistical Learning
  3. Stochastic gradient boosting
  4. XGBoost: A Scalable Tree Boosting System
  5. Scikit-learn: Machine Learning in Python
  6. Practical Lessons from Predicting Clicks on Ads at Facebook
  7. An empirical comparison of supervised learning algorithms
  8. Monte Carlo cross validation
  9. Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. (Cerebral Cortex)
  10. On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation

Their papers