Massimo Ferri

Artificial Intelligence · 2007–2017

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computational Theory and Mathematics — 16 citations into it

Whom Massimo Ferri trusts overall

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

1. Rakesh Agrawal
2. Andreas Holzinger
3. Jorma Rissanen
4. Brian Kulis
5. Jerome H. Friedman

Papers from Massimo Ferri's perspective

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

1. LIBLINEAR: A Library for Large Linear Classification
2. Regularization Paths for Generalized Linear Models via Coordinate Descent
3. Stability of Persistence Diagrams (Discrete & Computational Geometry)
4. Fast Algorithms for Mining Association Rules
5. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
6. Modeling By Shortest Data Description*
7. PRISM: A Language for Symbolic-Statistical Modeling
8. Regularization Paths for Cox’s Proportional Hazards Model via Coordinate Descent
9. Mining association rules between sets of items in large databases
10. Optimization for machine learning

Their papers

• Betti numbers in multidimensional persistent homology are stable functions (2013) — 162 citations
• Towards Integrative Machine Learning and Knowledge Extraction (2017) — 22 citations
• One-dimensional reduction of multidimensional persistent homology (2007) — 53 citations