Deep Learning for Time Series Classification of Parkinson's Disease Eye Tracking Data
The episode discusses a deep learning paper classifying Parkinson's Disease eye tracking data using models like InceptionTime and ROCKET. Hosts discuss the classification accuracies, generalization capabilities, and future work focusing on model interpretability to build trust for clinical use.