Abstract: Real-world applications often deal with class-unbalanced data sets, especially in the medical field. Machine learning (ML) algorithms that learn predictive models can be affected by ...
Abstract: Deep matrix factorization (DMF) has the capability to discover hierarchical structures within raw data by factorizing matrices layer by layer, allowing it to utilize latent information for ...
📋 Project Overview This project presents a novel CBAM-guided channel pruning framework for efficient osteoporosis classification using knee X-ray images. The methodology achieves 55.9% parameter ...
Risto Miikkulainen, vice president, AI research, Cognizant AI Lab, and professor of computer science, University of Texas Monolithic artificial intelligence models struggle with complex reasoning and ...
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