In this study, we explore a real-world pathology classification task to highlight the effectiveness of data and model scaling and cross-dataset knowledge ...

Sep 19, 2023 · In this study, we explore a real-world pathology classification task to highlight the effectiveness of data and model scaling and cross-dataset knowledge ...

Sep 21, 2023 · Machine learning approaches have played a pivotal role in analyzing EEG data, enabling the development of automated systems for pathology ...

Dec 30, 2023 · EEG pathology detection and transfer learning. We demonstrated that transfer learning is a powerful technique to overcome the data scarcity.

Sep 17, 2024 · Highlights•Using large datasets improves performance on tasks with limited labeled data.•Data and model scaling techniques improve pathology ...

Apr 17, 2024 · In this study, we explore a real-world pathology classification task to highlight the effectiveness of data and model scaling and cross-dataset ...

Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning · Mohammad Javad Darvishi Bayazi, M. S. Ghaemi, +3 authors. I ...

Aug 13, 2024 · Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning ... Transfer of EEG to EEG or ECG Learning ...

Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning ... Authors: Mohammad-Javad Darvishi-Bayazi; Mohammad Sajjad ...

Title: Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning. Authors: Mohammad-Javad Darvishi Bayazi ...