autonomous ai optimization 1deep learning 1dimension reduction 1eeg seizure detection 1representation learning 1
From the 1 of 3 linked papers with an AI index.
3 papers
eess.SP2026
Comparison of Dimension Reduction Methods for EEG Seizure Detection Using Autonomous AI-Driven Optimization
Annika Stiehl, Vishal Kagade, Nicolas Weeger +3
The paper compares four dimension‑reduction techniques for multichannel EEG seizure detection and uses an autonomous AI framework to jointly optimize the representation and deep‑le…
eess.SP2026
Low-Density EEG for Seizure Detection: Evaluating CNN-RNN Architectures on a Behind-the-Ear Montage Setup
Annika Stiehl, Patrick Wingert, Nicolas Weeger +3
Epilepsy affects over 50 million individuals globally, underscoring the need for automated seizure detection systems that can alleviate clinicians workload and enhance the accuracy…
eess.SP2025
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic Discharges
Annika Stiehl, Stefan GeiÃelsöder, Nicole Ille +3
Recognizing specific events in medical data requires trained personnel. To aid the classification, machine learning algorithms can be applied. In this context, medical records are…