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Principal Components for Neural Network Initialization: A Novel Approach to Explainability and Efficiency

Brief summary: While PCA is traditionally employed for dimensionality reduction and denoising before training, this preprocessing can complicate the interpretability of explainable AI (XAI) methods due to the transformation of input features. To mitigate these… Principal Components for Neural Network Initialization: A Novel Approach to Explainability and Efficiency

Customizing KNN classifier with sklearn

The post describes using custom distance functions with KNeighborsClassifier in scikit-learn. It explains implementing Weighted K-Nearest Neighbors and creating a CustomKNN class, showcasing OOP principles while enhancing KNN functionality and evaluation accuracy.

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Vision-Language Models in Healthcare: Unlocking Multimodal Intelligence for Medical Applications

In summary: Vision-Language Models (VLMs) in healthcare represent a significant technological advancement, offering a promising pathway to integrate and analyze multimodal data, including medical imaging and textual reports, to improve diagnostic accuracy, treatment planning, and… Vision-Language Models in Healthcare: Unlocking Multimodal Intelligence for Medical Applications

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