As e-commerce platforms generate ever-longer streams of user-behavior data, machine-learning methods are increasingly examined for their ability to model how customer interests form and shift over ...
Introduction Mental health is an urgent public health issue with social and economic relevance. Business families play a key ...
Abstract: The perturbation features limit the performance of point cloud classification models, both for clean point clouds and those obtained from the real world. In this paper, we propose two ...
Abstract: Sleep-stage classification using EEG signals is crucial for understanding brain activity during sleep; however, the black-box nature of most deep learning models limits their clinical ...
Most work on LLMs stays at the API surface. Mechanistic interpretability goes deeper — it tries to reverse-engineer the actual algorithm a model uses to produce an output. This is central to model ...
Six interchangeable 3D model architectures (ResNet18/50, DenseNet121, SFCN, AnatCL, BrainIAC) A full train → evaluate → interpret pipeline: Grad-CAM / attention-rollout saliency mapped onto SynthSeg ...
The ever-growing world population is over-stressing the available resources leading to several social, economic, and environmental issues. The world is facing challenges related to the availability of ...
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