Once you narrow down the country, you can use more specific factors like vegetation, specific landscapes, or architecture, ...
Water is the most abundant liquid on Earth's surface, and it is highly anomalous compared with other liquids because it ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
The advent of immune checkpoint inhibitors (ICIs) has marked a paradigm shift in cancer treatment, yet a significant portion of breast cancer patients fail to respond to these therapies.
Risk-based strategies are superior to the U.S. Preventive Services Task Force (USPSTF) criteria for optimizing efficiency and ...
BERT, XGBoost, and logistic regression models were developed on the training data set before evaluation on the hold-out test data set. The primary outcome was overall classification accuracy for the ...
Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...
Abstract: In this paper, a novel nonlinear technique for hyperspectral image (HSI) classification is proposed. Our approach relies on sparsely representing a test sample in terms of all of the ...
Abstract: In the past decades, the ensemble systems have been shown as an efficient method to increase the accuracy and stability of classification algorithms. However, how to get a valid combination ...
[2] Structured Matrix Scaling for Multi-Class Calibration (see also: experiments) [3] A Variational Estimator for Lp Calibration Errors (see also all experiments) [4] CalArena: A Large-Scale Post-Hoc ...
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