Article

Deep Learning Versus Classical Machine Learning for Schizophrenia Detection from EEG: A Cross-Dataset Generalization Study

2026-01-13

Abstract excerpt

This work compares two common approaches for classifying schizophrenia from EEG data—EEGNet, a compact convolutional neural network, and a Random Forest trained on spectral features—with an emphasis on how well they generalize across datasets. The models were trained on the ASZED-153 dataset using subject-level stratified cross-validation and then evaluated on a completely separate Kaggle EEG dataset collected und...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 9c62e50c-d083-561b-8e70-37667eeb287c
DOI: 10.20944/preprints202601.0860.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning Versus Classical Machine Learning for Schizophrenia Detection from EEG: A Cross-Dataset Generalization StudyDOI 10.20944/preprints202601.0860.v1Read

A Generalizable Efficient Machine Learning Framework for Schizophrenia Classification Using Multiscale EEG Features and Ensemble MethodsSemantic proximity Read

An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-based Schizophrenia DiagnosisSemantic proximity Read

A Fused Power Spectrum based Feature Selection to Identify Schizophrenia from EEG Signals using Deep Learning Models - An Experimental StudySemantic proximity Read

Deep Learning for Individual-Level Classification of Schizophrenia Versus Healthy Controls from Trial-Level Auditory Oddball ERP WaveformsSemantic proximity Read

Evaluating EEG-Based Parameters for Bipolar Disorder Diagnosis Using a Synthetic DatasetSemantic proximity Read

A Novel Deep Learning Approach for Bipolar Disorder Classification via Quantitative EEGSemantic proximity Read

Reliability and disease sensitivity are dissociable properties of EEG foundation-model representationsSemantic proximity Read

Generalizable electroencephalographic classification of Parkinson’s Disease using deep learningSemantic proximity Read

Domain Adaptation Enables Cross-site Classification of First-episode Schizophrenia from Multimodal Neuroimaging DataSemantic proximity Read

Evaluating the Generalizability of EEG-Based AI Models in Alzheimer’s and Dementia DiagnosisSemantic proximity Read

Leveraging Pretrained Vision Transformers for classifying Alcohol Use Disorder using Raw Resting-State EEGSemantic proximity Read

Generalizability of EEG-Based Dementia Classifiers: A Multicenter study of Alzheimer’s, MCI, And FTDSemantic proximity Read