S. Lacasse

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Civil and Structural Engineering — 6 citations into it

Whom S. Lacasse trusts overall

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

1. Wengang Zhang
2. Leo Breiman

Papers from S. Lacasse's perspective

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

1. Bagging Predictors
2. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
3. XGBoost: A Scalable Tree Boosting System
4. Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation (Pattern Recognition)
5. Random Forests
6. Wavelet support vector machine (IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics))
7. Multivariate adaptive regression splines
8. Applied Predictive Modeling
9. An improvement to MLR model for predicting liquefaction-induced lateral spread using multivariate adaptive regression splines
10. Multivariate adaptive regression splines for analysis of geotechnical engineering systems

Their papers

• State-of-the-art review of soft computing applications in underground excavations (2020) — 442 citations