Author

Irina Rish

IBM (United States)ORCID 0000-0001-6856-5057Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Aleksandr Y. AravkiniD· 1 shared Annalisa PascarellaiD· 1 shared Arthur DehganiD· 1 shared Germán AbrevayaiD· 1 shared Guillermo CecchiiD· 1 shared Karim JerbiiD· 1 shared Pablo I. PoloseckiiD· 1 shared Peng ZhengiD· 1 shared

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2018-2025 · peak 1/yr

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10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Aleksandr Y. AravkinORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintMar 20, 2025

MEEGNet: An open source python library for the application of convolutional neural networks to MEG

Arthur Dehgan, Annalisa Pascarella, Yann Harel…·Karim Jerbi

MEEGNet is a Python library for applying convolutional neural networks to MEG data, achieving high accuracy in classification tasks while offering interpretability tools.

1 citation

electronic health recordsdeep learning

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NeurosciencebioRxivPreprintMay 25, 2018

Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM

Germán Abrevaya, Aleksandr Y. Aravkin, Guillermo Cecchi…·Silvina Ponce Dawson

The paper introduces a nonlinear differential equation model for brain dynamics using van der Pol oscillators and improves LSTM performance through model-specific data augmentation.

2 citations

imagingstatistical model

𝕏 PostBluesky