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

Ozgur Guldogan

dblp:331/2537 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
—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 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.

Artificial intelligence
1 paper
Trustworthy machine learning · 100%

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

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning
fairness		 0.712023
Equal Improvability: A New Fairness Notion Considering the Long-term Impact · ICLR 2023
Machine learning › Trustworthy machine learning › fairness › fair sequential decision making
long-term fairness		 0.712023
Equal Improvability: A New Fairness Notion Considering the Long-term Impact · ICLR 2023
YearPublicationVenuePosition
2023 Equal Improvability: A New Fairness Notion Considering the Long-term Impact
Ozgur Guldogan, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee 0001
 ICLR1