Author

Ankita Chatterjee

Indian Institute of Technology BhubaneswarORCID 0000-0002-9481-9054Unclaimed ORCID profile · follow to get notified of new preprints

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Ankita Chatterjee3 papers

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Debarshi Kumar SanyaliD· 1 shared Rajdeep ChatterjeeiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Debarshi Kumar SanyalORCID

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1 paper

Recent·Most cited

Fuzzy-Discernibility Matrix-based Efficient Feature Selection Techniques for Improved Motor-Imagery EEG Signal Classification

Rajdeep Chatterjee, Debarshi Kumar Sanyal, Ankita Chatterjee

The paper proposes a mix-bagging classifier with sliding window feature extraction and fuzzy discernibility matrix for motor-imagery EEG classification, achieving 92.14% accuracy on BCI Competition II Dataset III.

bioRxiv · Mar 24, 2021 · PreprintNeuroscience