Learn how to classify sleep stages using EEG data with Python, MNE, and Scikit-learn in this step-by-step guide.

Deep learning-based skin lesion classification using CNNs for early melanoma detection. Trained on the HAM10000 dataset to improve diagnostic accuracy. 🚀 #AI #DeepLearning #SkinCancerDetection ...

ICLabel is an important plug-in function in EEGLAB, the most widely used software for EEG data processing. A powerful approach to automated processing of EEG data involves decomposing the data by ...

ICLabel returns the likelihood of classification in 7 classes of components for each ICA component. The returned IC classifications were virtually identical between Python and MATLAB, with differences ...

To facilitate the reusability of the classification scheme, the first sequence, feature labels, trained model, and class names are exported using a standard python pickle file format.

Learn about Python metaclasses, how to define and use them, and explore examples to understand their functionality with this comprehensive tutorial.

Python dataclasses can make your Python classes less verbose and more powerful at the same time. Here's an introduction to using dataclasses in your Python programs.