the cloud computing system, which operates via the Internet, provides large, scalable computer resources to users as a service. this technique has attracted significant attention from the scientific and corporate worl...
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Enhancing Machine Learning (ML)-based methods that resolve unaddressed medical demands necessitates particular concerns for optimum clinical utility. Latest discussions about the visibility, explainability, and repeat...
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Enhancing Machine Learning (ML)-based methods that resolve unaddressed medical demands necessitates particular concerns for optimum clinical utility. Latest discussions about the visibility, explainability, and repeat...
Enhancing Machine Learning (ML)-based methods that resolve unaddressed medical demands necessitates particular concerns for optimum clinical utility. Latest discussions about the visibility, explainability, and repeatability of ML approaches outlined in this study prompted questions about their clinical utility and appropriateness for inclusion in the present frameworks of evidence-based practice. this highlighted piece emphasizes raising clinicians' ML literacy by arming them withthe information and resources required to comprehend and objectively assess the clinical studies encompassing ML. Data collection, feature extraction, model specification, and clinical implementation are the four ML building elements evaluated for rigor and repeatability using a checklist. Such checklists are crucial for ML research to be meticulously and firmly evaluated by clinicians who are informed by the domain expertise of the context in which the results will be implemented. they also help to guarantee quality assurance.
Faced withthe current pandemic context, in which virtual education has prevailed in most countries, this exploratory research aims to determine the Peruvian teachers' perception about the benefits of using gamifi...
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Twitter is nowadays an excellent tool for gathering user's perceptions on food choices and consumption. thus, by analyzing consumers' tweets, we have studied their points of view regarding the agri-food short ...
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Generics are sentences that express generalizations about a category or about its members. they display a characteristic context-sensitivity: the same generic can express a statistical regularity, a principled connect...
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National Geoinformation Center of Bulgaria is a national scientific infrastructure – a consortium with a mission to produce and provide value-added products of Earth observation data gathered by various agencies gove...
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this paper presents a model of contextual awareness implemented for a social communicative robot Leolani. Our model starts from the assumption that robots and humans need to establish a common ground about the world t...
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Organizations learn by comparing practices of employees under different aspects and leverage the lessons learned in improved procedures [9]. this paper reports on a pilot research project that shows how the theory of ...
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Setswana is an under-resourced Bantu African language that is morphologically rich withthe disjunctive writing system. Developing NLP pipeline tools for such a language could be challenging, due to the need to balanc...
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