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Any classification system should be evaluated with respect to a variety of philosophical and practical concerns. This paper explores several distinct issues: the nature of a work, the value of a statement, the contribution of information science to philosophy, the nature of hierarchy, ethical...
This study is about a series of operational acts of identification, such as interpretations, categorizations, representations, classifications, through which past materials have acquired their meaning and therefore identity. Furthermore, this meaning-making will be demonstrated always to be...
Adolescent Idiopathic Scoliosis: Classifying, Assessing, and Monitoring using Surface Topography Asymmetry AnalysisDownload
The radiation dose and the associated lifetime risk of developing cancer is a problem justifying the use of surface topography (ST) as an alternative to radiographs for monitoring scoliosis. The current ST methods mainly rely on marker placement and fail to describe the 3D aspect of the scoliosis...
While the common method for diagnosing and monitoring adolescents with idiopathic scoliosis (AIS) is X-ray radiographs from which a Cobb angle is measured, studies have shown that high radiation exposure is linked to high risk of cancer, particularly, for children and women. This thesis describes...
Each individual chromatogram is typically very sparse, especially when coupled with a technique such as mass spectrometry. Only a small portion of the recorded data actually contains potentially useful information. Since the inclusion of irrelevant information will have detrimental effects upon...
Technical report TR01-04. Discriminating between text articles and automatically classifying documents is an essential task for many applications. With the prevalence of digital documents and the wide use of e-mail and web documents, text categorization is regaining interest and is becoming a...
Automated essay scoring (AES) is a technology that efficiently and economically score written responses by emulating intelligence of human scorer. Present study had employed open-source Natural Language Processing technologies for developing AES framework, to score multilingual medical licensing...
The electrocardiogram is the standard tool for detecting cardiac abnormalities, such as atrial fibrillation, irregular complexes, and heart blocks. However, the interpretation of this data is an unsolved problem with discrepancies among panels of cardiologists and automated analysis requiring...
Purpose - This paper aims to respond to the 2005 paper by Hjorland and Nissen Pedersen by suggesting that an exhaustive and universal classification of the phenomena that scholars study, and the methods and theories they apply, is feasible. It seeks to argue that such a classification is critical...
Classifying Crystal Structures of Binary Compounds AB through Cluster Resolution Feature Selection and Support Vector Machine AnalysisDownload
Partial least-squares discriminant analysis (PLS-DA) and support vector machine (SVM) techniques were applied to develop a crystal structure predictor for binary AB compounds. Models were trained and validated on the basis of the classification of 706 AB compounds adopting the seven most common...