Author

A. Most. Sheuli

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Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Assay:electrophysiology· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Cichocki· 1 shared D. Wang· 1 shared H. Sugano· 1 shared I. Md. Rabiul· 1 shared I. Yasushi· 1 shared K. Fukumori· 1 shared T. Tanaka· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioengineering

A. Cichocki

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1 paper

Recent·Most cited

Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high- frequency components in interictal iEEG

A. Most. Sheuli, I. Md. Rabiul, I. Yasushi, H. Sugano, K. Fukumori, D. Wang, T. Tanaka, A. Cichocki

This paper develops a machine learning method using entropy features from high-frequency iEEG subbands to accurately identify epileptic focus in patients.

bioRxiv · Mar 23, 2020Bioengineering