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

Raj G. Patel

dblp:324/2034 · DBLP profile ↗
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1ranked-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 · 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 · 100%

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

TopicWeightPapersLastEvidence papers
Machine learning › Deep learning architectures and training
data augmentation		 0.712023
Recursive Time Series Data Augmentation · ICLR 2023
Machine learning › Deep learning architectures and training › data augmentation
time series data augmentation		 0.712023
Recursive Time Series Data Augmentation · ICLR 2023

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

recursive augmentation · 0.7
YearPublicationVenuePosition
2023 Recursive Time Series Data Augmentation
Amine Mohamed Aboussalah, Min-Jae Kwon, Raj G. Patel, Chi-Guhn Lee
 ICLR3