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

Bao Ho

dblp:193/2564 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—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.

Artificial intelligence
1 paper
Deep learning architectures and training · 50% Generative modeling · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Deep learning architectures and training › memory-augmented neural networks
memory network		 0.612022
Generative Pseudo-Inverse Memory · ICLR 2022

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

pseudo-inverse memory · 0.6
YearPublicationVenuePosition
2022 Generative Pseudo-Inverse Memory
Kha Pham, Hung Le 0002, Man Ngo, Truyen Tran 0001, Bao Ho, Svetha Venkatesh
 ICLR5