Demo Data from VLDB 2026 / reviewers in the wild / expert
Muhammed Basharu
dblp:31/2911
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 2 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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.
| Artificial intelligence
1 paper |
Multi-agent systems · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems › distributed problem solving
distributed constraint satisfaction |
0.1 | 1 | 2005 | Solving DisCSPs with Penalty Driven Search · AAAI 2005 |
Methods — techniques the papers use, named apart from their topics
penalty driven search · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Solving coarse-grained DisCSPs with local searchabstractDistributed constraint satisfaction problems (DisCSPs) are often used to solve problems which are naturally distributed over a number of agents on different locations who cooperate to solve the overall problem. One common assumption in DisCSP resolut Inés Arana, Hatem Ahriz, Muhammed Basharu |
Web Intell. Agent Syst. | 3 |
| 2005 | Solving DisCSPs with Penalty Driven Search
Muhammed Basharu, Inés Arana, Hatem Ahriz |
AAAI | 1 |
| 2003 | FeReRA: A Multi-agent Approach to Constraint Satisfaction
Muhammed Basharu |
CP | 1 |