Author

Nikki Leeuwis

Tilburg UniversityORCID 0000-0002-8937-4169Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Maryam AlimardaniiD· 2 shared Laura J. HagedorniD· 1 shared Navneet Tibrewal· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 2 mutual co-author links

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2 shared papersNeuroscience

Maryam AlimardaniORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJun 18, 2021

The Promise of Deep Learning for BCIs: Classification of Motor Imagery EEG using Convolutional Neural Network

Navneet Tibrewal, Nikki Leeuwis, Maryam Alimardani

This study compares a machine learning and a deep learning approach for classifying motor imagery EEG signals, finding that deep learning improves classification accuracy, especially for low performers.

12 citations

electronic health recordsmachine learning (classical)

𝕏 PostBluesky

NeuroscienceCommunications in computer and information sciencePeer-reviewedJan 1, 2021

Prediction of Inefficient BCI Users based on Cognitive Skills and Personality Traits

Laura J. Hagedorn, Nikki Leeuwis, Maryam Alimardani

This study predicts BCI inefficiency using cognitive skills and personality traits, finding that visuospatial memory predicts suppression during motor imagery tasks.

5 citations

statistical model

𝕏 PostBluesky