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Shehabeldin Elzoheiry

dblp:245/4794 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

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

Artificial intelligence and machine learning · 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
Video understanding and tracking · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › neuroscience › neuroinformatics › neural data analysis
calcium imaging analysis
0.412019
LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos · ICLR (Poster) 2019

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

motif detection · 0.8convolutional neural network · 0.8
YearPublicationVenuePosition
2019 LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos
Elke Kirschbaum, Manuel Haußmann, Steffen Wolf 0001, Hannah Sonntag, Justus Schneider, Shehabeldin Elzoheiry, Oliver Kann, Daniel Durstewitz, Fred A. Hamprecht
ICLR (Poster)6