Author

Xiaoyong Ni

ETH ZurichORCID 0000-0001-6441-8519Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Anne DraelosiD· 1 shared Aren Hite· 1 shared Cynthia A. ChestekiD· 1 shared Diksha ZutshiiD· 1 shared Dylan M WallaceiD· 1 shared Guy RevachiD· 1 shared Hisham TemmariD· 1 shared J CostelloiD· 1 shared

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2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Anne DraelosORCID

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1 paper

Recent·Most cited

Neuroscienceneural information processing systemsPeer-reviewedJan 1, 2024

Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces

Luis Hernan Cubillos, Guy Revach, Matthew J. Mender…·Cynthia A. Chestek

This study compares KalmanNet, an explainable BMI decoder, with deep-learning and Kalman filter models, finding it achieves comparable performance while offering interpretability.

2 citations

electronic health recordsstatistical model

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