Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis
We propose a subject-aware contrastive learning deep fusion neural network framework for
effectively classifying subjects' confidence levels in the perception of visual stimuli. The …
effectively classifying subjects' confidence levels in the perception of visual stimuli. The …
Subject-Aware Explainable Contrastive Deep Fusion Learning for Anxiety Level Analysis
We propose a contrastive learning deep fusion neural network for effectively classifying
subjects' anxiety levels. The framework, called WaveFusion, is composed of lightweight …
subjects' anxiety levels. The framework, called WaveFusion, is composed of lightweight …
[PDF][PDF] TOWARDS THE INTERPRETATION OF MACHINE LEARNING SEIZURE PREDICTION MODELS
AD Teixeira - 2022 - estudogeral.uc.pt
T he last four decades have seen significant advances in seizure prediction using the
Electroencephalogram (EEG) signal. Prediction models must deal with the inherent …
Electroencephalogram (EEG) signal. Prediction models must deal with the inherent …
On the clinical acceptance of EEG seizure prediction methodologies
JCF Batista - 2022 - search.proquest.com
Sensivelmente um terço dos doentes epiléticos são incapazes de atingir o controlo das
crises através da administração de medicamentos antiepiléticos. Em situações em que as …
crises através da administração de medicamentos antiepiléticos. Em situações em que as …