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Demo Data from EDBT 2026 / reviewers in the wild / expert

Yarden Naveh

dblp:165/3293 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 1

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.

Artificial intelligence
1 paper
Multi-agent systems · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
distributed constraint optimization		 0.212015
Applying Max-Sum to Asymmetric Distributed Constraint Optimization · IJCAI 2015
Knowledge, reasoning and agents › Multi-agent systems › distributed constraint optimization
max-sum algorithm		 0.212015
Applying Max-Sum to Asymmetric Distributed Constraint Optimization · IJCAI 2015

Methods — techniques the papers use, named apart from their topics

max-sum · 0.2
YearPublicationVenuePosition
2020 Applying Max-sum to asymmetric distributed constraint optimization problems
Roie Zivan, Tomer Parash, Liel Cohen-Lavi, Yarden Naveh
 Auton. Agents Multi Agent Syst.4
2015 Applying Max-Sum to Asymmetric Distributed Constraint Optimization
Roie Zivan, Tomer Parash, Yarden Naveh
 IJCAI3