Jared Willett

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One of the potentially most relevant pieces of metadata for filtering studies in environmental science is the geographic region in which the study took place (the “study region”). In this paper, we apply support vector machines to the automatic classification of study region in a dataset of titles and abstracts from environmental science literature, using(More)
Climate type is one of the potentially most relevant pieces of metadata for identifying studies in evidence-based environmental management. In this paper, we propose a method for automatically predicting the climate type in environmental science literature using NLP techniques, relative to a pre-existing set of climate type categories. Our main approaches(More)
Objectives The aim of this paper is to identify the factors that affect the complexity of implant restoration and to explore the indices that help us to assess it. With this knowledge the growing number of clinicians restoring dental implants will have a better understanding of the available guidance and evidence base, and the differing levels of competence(More)
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