EDBT 2026 Demo / reviewers in the wild / expert
Leonardo Carbonara
dblp:22/2768
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 1999
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 3 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Knowledge graphs · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge graphs › knowledge graph quality
knowledge base correction |
0.0 | 1 | 1996 | Improving the Efficiency of Knowledge Base Refinement · ICML 1996 |
Knowledge graphs
link prediction |
0.0 | 1 | 1996 | Improving the Efficiency of Knowledge Base Refinement · ICML 1996 |
Methods — techniques the papers use, named apart from their topics
knowledge base refinement · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Effective and Efficient Knowledge Base Refinement
Leonardo Carbonara, Derek H. Sleeman |
Mach. Learn. | 1 |
| 1998 | A Comparison of Batch and Incremental Supervised Learning Algorithms
Leonardo Carbonara, Alastair Borrowman |
PKDD | 1 |
| 1996 | Improving the Efficiency of Knowledge Base Refinement
Leonardo Carbonara, Derek H. Sleeman |
ICML | 1 |