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

Philippe Bonnard

dblp:49/6906 · DBLP profile ↗
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2ranked-venue papers
0as 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 · 2 · 1 since 2021Databases, data management, data science and information retrieval · 1

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
Probabilistic and Bayesian machine learning · 50% Knowledge representation and reasoning · 50%

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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
rule learning		 0.712023
Neural-based classification rule learning for sequential data · ICLR 2023
Machine learning › Probabilistic and Bayesian machine learning › structured prediction
sequential classification		 0.712023
Neural-based classification rule learning for sequential data · ICLR 2023

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

neural network · 0.7
YearPublicationVenuePosition
2023 Neural-based classification rule learning for sequential data
Marine Collery, Philippe Bonnard, François Fages, Remy Kusters
 ICLR2
2016 Incremental Junction Tree Inference
Hamza Agli, Philippe Bonnard, Christophe Gonzales, Pierre-Henri Wuillemin
 IPMU (1)2