Abstract: The widespread adoption of deep-learning models in data-driven applications has drawn attention to the potential risks associated with biased datasets and models. Neglected or hidden biases ...
Abstract: This paper proposes combining deep neural network classifiers while simultaneously optimizing the networks. The proposed combination scheme enhances the accuracy of each classifier, which, ...
The committee’s evaluation and program strength pushed Aquinas and BK into the top class, sharpening sectional competition.
A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...
Moving cannabis to a category of drugs that includes some common medicines will have implications for research, businesses and patients. By Jan Hoffman President Trump on Thursday ordered cannabis to ...
DNA methylation profiling has emerged as a transformative tool in the diagnosis and classification of central nervous system (CNS) tumors. Traditional approaches like histology, immunohistochemistry, ...
Decipher genomic classifier scores combined with Gleason grade group improve risk stratification for prostate cancer patients on active surveillance. Patients with GG1 and high genomic classifier ...
Only 1.76% of Americans have a perfect 850 FICO® Score in 2025, according to Motley Fool Money research and Experian data. And honestly, that tiny percentage says everything. Hitting perfection takes ...
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