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

Bishr Bin Ali

dblp:293/7496 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › multimedia analysis and retrieval
multimedia analysis		 0.512021
Detecting Propaganda Techniques in Memes · ACL/IJCNLP (1) 2021

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

multimodal learning · 0.5
YearPublicationVenuePosition
2021 Detecting Propaganda Techniques in Memes
abstract
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.
Dimitar Dimitrov 0003, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino
 ACL/IJCNLP (1)2