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

Scott Dejmal

dblp:17/2548 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · none

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

Artificial intelligence and machine learning · 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.

Network and information security
1 paper
Systems and software security · 50% Network security · 50%

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

TopicWeightPapersLastEvidence papers
Network security
peer-to-peer networks		 0.112008
Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks · AAAI 2008
Systems and software security › vulnerability management
vulnerability assessment		 0.112008
Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks · AAAI 2008

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

reinforcement learning · 0.1
YearPublicationVenuePosition
2008 Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks
Scott Dejmal, Alan Fern, Thinh P. Nguyen
 AAAI1