Demo Data from VLDB 2026 / reviewers in the wild / expert
Hamed Hamze Bajgiran
dblp:287/9474
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Theory of computation · 1 · 1 first-author · 1 since 2021
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 |
Machine learning and data management · 100% | |
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning and data management
learning theory |
0.6 | 1 | 2022 | Closure Operators: Complexity and Applications to Classification and Decision-making · EC 2022 |
Algorithmic game theory and mechanism design
decision theory |
0.2 | 1 | 2022 | Closure Operators: Complexity and Applications to Classification and Decision-making · EC 2022 |
Methods — techniques the papers use, named apart from their topics
computational complexity analysis · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Closure Operators: Complexity and Applications to Classification and Decision-makingabstractWe study the complexity of closure operators, with applications to machine learning and decision theory. In machine learning, closure operators emerge naturally in data classification and clustering. In decision theory, they can model equivalence of choice menus, and therefore situations with a preference for flexibility. Our contribution is to formulate a notion of complexity of closure operators, which translate into the complexity of a classifier in ML, or of a utility function in decision theory. Hamed Hamze Bajgiran, Federico Echenique |
EC | 1 |