Tommaso Urli

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Industrial and Manufacturing Engineering — 6 citations into it
• Computer Networks and Communications — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Tommaso Urli trusts overall

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

1. Roger W. Koenker
2. Mauro Birattari
3. Fred W. Glover

Papers from Tommaso Urli's perspective

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

1. Programming by optimization
2. Random Forests
3. F-Race and Iterated F-Race: An Overview (Experimental Methods for the Analysis of Optimization Algorithms)
4. Controlling the false discovery rate: a practical and powerful approach to multiple testing
5. Optimization by Simulated Annealing
6. No free lunch theorems for optimization
7. Classification and Regression by randomForest
8. Quantile Regression
9. Monte Carlo Methods
10. A survey of metaheuristic-based techniques for University Timetabling problems (OR Spectr.)

Their papers

• Feature-based tuning of single-stage simulated annealing for examination timetabling (2015) — 33 citations
• Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem (2014) — 89 citations