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An early warning indicator trained on stochastic disease-spreading models with different noises
Download2024-08-09
Chakraborty, Amit K., Gao. Shan, Miry, Reza, Ramazi, Pouria, Greiner, Russell, Lewis, Mark A., Wang, Hao
Abstract (description taken from article) The timely detection of disease outbreaks through reliable early warning signals (EWSs) is indispensable for effective public health mitigation strategies. Nevertheless, the intricate dynamics of real-world disease spread, often influenced by diverse...
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An Efficient and Accurate Numerical Determination of the Cluster Resolution Metric in Two Dimensions
Download2021-04-01
Sorochan Armstrong, Michael D., de la Mata, A. Paulina, Harynuk, James J.
Cluster resolution (CR) is a useful metric for guiding automated feature selection of classification models. CR is a measure of class separation in a linear subspace for variable subsets via the determination of maximal, non‐intersecting confidence ellipses. Feature selection by cluster...
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2017
Aggarwal, K., Timbers, F., Rutgers, T., Hindle, Abram, Stroulia, E., Greiner, R.
Bug deduplication, ie, recognizing bug reports that refer to the same problem, is a challenging task in the software-engineering life cycle. Researchers have proposed several methods primarily relying on information-retrieval techniques. Our work motivated by the intuition that domain knowledge...
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In–human testing of a non-invasive continuous low–energy microwave glucose sensor with advanced machine learning capabilities
Download2023-09-14
Nazli Kazemi, Mohammad Abdolrazzaghi, Peter E Light, Petr Musilek
Continuous glucose monitoring schemes that avoid finger pricking are of utmost importance to enhance the comfort and lifestyle of diabetic patients. To this aim, we propose a microwave planar sensing platform as a potent sensing technology that extends its applications to biomedical analytes. In...