Author

Robin Weiler

Amsterdam NeuroscienceORCID 0000-0002-5464-822XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Peter BloemiD· 2 shared Arthur-Ervin AvrămieaiD· 1 shared Erika L. Juárez-MartineziD· 1 shared Henriette CapeliD· 1 shared K. Anton FeenstraiD· 1 shared Klaus Linkenkaer‐HanseniD· 1 shared Marina DiachenkoiD· 1 shared Maurits J. J. DijkstraiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 20 mutual co-author links

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2 shared papersNeuroscience

Peter BloemORCID

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2 papers

Recent·Most cited

NeuroscienceFrontiers in NeuroinformaticsPeer-reviewedJan 19, 2023

Robin's Viewer: Using Deep-Learning Predictions to Assist EEG Annotation

Robin Weiler, Marina Diachenko, Erika L. Juárez-Martinez…·Klaus Linkenkaer‐Hansen

Robin's Viewer integrates deep-learning predictions into an EEG annotation tool to improve accuracy and allow user inspection of model outputs.

6 citations

electronic health recordsdeep learning

BioinformaticsScientific ReportsPeer-reviewedSep 26, 2022

ProteinGLUE: A multi-task benchmark suite for self-supervised protein modeling.

Henriette Capel, Robin Weiler, Maurits J. J. Dijkstra…·K. Anton Feenstra

The paper introduces ProteinGLUE, a benchmark suite for evaluating self-supervised protein models, showing pre-training improves downstream tasks but smaller models perform better than larger ones.

11 citations

protein sequencestatistical model