Marco Leandro Carmosino

Artificial Intelligence · 2015

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 — 6 citations into it
• Statistical Learning Theory — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Marco Leandro Carmosino trusts overall

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

1. Chih-Jen Lin
2. Christopher K. I. Williams
3. Leo Breiman
4. Eric R. Ziegel
5. Max Kuhn

Papers from Marco Leandro Carmosino's perspective

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

1. LIBSVM: A library for support vector machines
2. The Elements of Statistical Learning
3. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
4. LIBLINEAR: A Library for Large Linear Classification
5. Bagging Predictors
6. Scikit-learn: Machine Learning in Python
7. Individual Comparisons by Ranking Methods
8. R: A language and environment for statistical computing.
9. Building Predictive Models in R Using the caret Package
10. Principal Component Analysis

Their papers

• A study of machine learning regression methods for major elemental analysis of rocks using laser-induced breakdown spectroscopy (2015) — 139 citations