Reference health
A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia
33/33 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
16 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 33 checked references that resolve
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Non-linear Analysis of Scalp EEG by Using Bispectra: The Effect of the Reference Choice
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A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings
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Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions
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The 16 references without a DOI — listed, not checked
no DOI — not checked10.1016/j.neunet.2019.12.006_b2
no DOI — not checkedIntroduction to statistical learning theory
no DOI — not checkedA feasibility study of using the neucube spiking neural network architecture for modelling Alzheimer’s disease EEG data
no DOI — not checkedSlowing and loss of complexity in Alzheimer’s EEG: two sides of the same coin?
no DOI — not checkedBispectral analysis of spontaneous EEG activity from patients with moderate dementia due to alzheimer’s disease
no DOI — not checked10.1016/j.neunet.2019.12.006_b12
no DOI — not checkedA time-frequency based machine learning system for brain states classification via eeg signal processing
no DOI — not checked10.1016/j.neunet.2019.12.006_b17
no DOI — not checkedPermutation jaccard distance-based hierarchical clustering to estimate EEG network density modifications in MCI subjects
no DOI — not checkedDeep convolutional neural networks for classification of mild cognitive impaired and Alzheimer’s disease patients from scalp EEG recordings
no DOI — not checked10.1016/j.neunet.2019.12.006_b35
no DOI — not checked10.1016/j.neunet.2019.12.006_b36
no DOI — not checked10.1016/j.neunet.2019.12.006_b38
no DOI — not checkedMulti-region risk-sensitive cognitive ensembler for accurate detection of attention-deficit/hyperactivity disorder
no DOI — not checkedEarly detection of Alzheimer’s disease by blind source separation, time frequency representation, and bump modeling of EEG signals
no DOI — not checked10.1016/j.neunet.2019.12.006_b49
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