Author

G. Longo

University of Naples Federico IIORCID 0000-0002-9182-8414Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Armin Hakkak Moghadam TorbatiiD· 1 shared Narges Davoudi· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Armin Hakkak Moghadam TorbatiORCID

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1 paper

Recent·Most cited

NeuroscienceBiomedical Signal Processing and ControlPeer-reviewedMar 23, 2026

Designing a Model to Detect Beta Burst in EEG Using Nonlinear Dynamic Features Based on Machine Learning

Armin Hakkak Moghadam Torbati, Narges Davoudi, G. Longo

This paper develops a machine learning model to classify beta bursts in EEG using nonlinear dynamic features, achieving high accuracy in distinguishing burst durations and task conditions.

1 citation

electronic health recordsmachine learning (classical)

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