Demo Data from VLDB 2026 / reviewers in the wild / expert
Lia Bozzone
dblp:292/3758
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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.
| Theoretical computer science
1 paper |
Logic in computer science · 50% Algorithmic game theory and mechanism design · 50% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Logic in computer science › modal and dynamic logic
temporal and strategic logics |
0.5 | 1 | 2021 | Budget-Constrained Coalition Strategies with Discounting · IJCAI 2021 |
Methods — techniques the papers use, named apart from their topics
modal logic · 0.5discounting · 0.5axiomatization · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Budget-constrained coalition strategies with discountingabstractAbstract Discounting future costs and rewards is a common practice in accounting, game theory and machine learning. In spite of this, existing logics for reasoning about strategies with cost and resource constraints do not account for discounting. The article proposes a sound and complete logical system for reasoning about budget-constrained strategic abilities that incorporates discounting into its semantics. Lia Bozzone, Pavel Naumov |
J. Log. Comput. | 1 |
| 2021 | Budget-Constrained Coalition Strategies with DiscountingabstractDiscounting future costs and rewards is a common practice in accounting, game theory, and machine learning. In spite of this, existing logics for reasoning about strategies with cost and resource constraints do not account for discounting. The paper proposes a sound and complete logical system for reasoning about budget-constrained strategic abilities that incorporates discounting into its semantics. Lia Bozzone, Pavel Naumov |
IJCAI | 1 |