Author

Rajdeep Chatterjee

KIIT UniversityORCID 0000-0003-0125-4830Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Debarshi Kumar SanyaliD· 2 shared Ankita ChatterjeeiD· 1 shared Ankita Datta· 1 shared Swati BanerjeeiD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersNeuroscience

Debarshi Kumar SanyalORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintMar 24, 2021

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.

2 citations

electronic health recordsmachine learning (classical)

𝕏 PostBluesky

NeurosciencebioRxivPreprintMar 19, 2021

Temporal Window based Feature Extraction Technique for Motor-Imagery EEG Signal Classification

Rajdeep Chatterjee, Ankita Datta, Debarshi Kumar Sanyal, Swati Banerjee

The paper compares temporal window-based and filter-bank approaches for motor-imagery EEG classification, finding that overlapping segments achieve the highest accuracy of 91.43% on BCI Competition II Dataset III.

5 citations

electronic health recordsmachine learning (classical)

𝕏 PostBluesky