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EDBT 2026 Demo / reviewers in the wild / expert

Clemens Röhrl

dblp:245/4894 · 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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Artificial intelligence
1 paper
Deep learning architectures and training · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Deep learning architectures and training
convolutional neural network		 0.412019
Human-level Protein Localization with Convolutional Neural Networks · ICLR (Poster) 2019
Bioinformatics and computational biology › protein function prediction
protein localization		 0.412019
Human-level Protein Localization with Convolutional Neural Networks · ICLR (Poster) 2019
Bioinformatics and computational biology › protein function prediction
protein subcellular localization prediction		 0.412019
Human-level Protein Localization with Convolutional Neural Networks · ICLR (Poster) 2019

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

convolutional neural network · 0.8
YearPublicationVenuePosition
2019 Human-level Protein Localization with Convolutional Neural Networks
Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl, Sepp Hochreiter, Günter Klambauer
 ICLR (Poster)3