There is a vast potential to derive significant insight from the analysis of bias inherent in media outlets and their product. Analogous to Plato's cave allegory we could imagine news stories as shadows, media out...
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Learning styles and affective states have a significant effect on student learning. The aim of this paper is to present a concept to identify and integrate learning styles and affective states of a learner into web-ba...
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Annotated corpora are an important resource to evaluate methods, compare competing methods, or to train supervised learning methods. When creating a new corpora with the help of human annotators, two important goals a...
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Previous work has proposed the ontology-based semi-automatic generation of antipattern Bayesian Network(BN) models. The generated BN model can be used to illustrate the effects of uncertainty on antipatterns using Bay...
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Translating clinical practice guidelines into a computer-interpretable format is a challenging and laborious task. In this project we focus on supporting the early steps of the modeling process by automatically identi...
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The interoperability of medical information systems is gaining more attention as the need for the collaboration in healthcare domain increases. Consolidation of distributed patient data and building a sustainable e-he...
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The interoperability of medical information systems is gaining more attention as the need for the collaboration in healthcare domain increases. Consolidation of distributed patient data and building a sustainable e-health system is the major research challenge. In order to overcome institutional barriers and competences for changes across sectors, standardized data structures and corresponding underlying infrastructure are needed. A concisely defined information network for the exchange of sensitive patient's data is a significant step towards enabling national and international cooperation. In this paper, we discuss the challenges and the advantages of the healthcare information integration into a federated data warehouse (DWH). We present technical and organizational aspects for creation of Austrian healthcare information network, and describe a scenario-based federation of Austrian health-insurance DWHs in compliance with the national governing framework for electronic exchange of patient-related data. This example will illustrate the benefits of standardized, identifiable and secure consolidation of the local DWHs and promote innovation in the public sector.
If visual information retrieval should make further progress, it will be necessary to identify new ways to derive visual properties from higher levels of understanding than the pixel level (e.g. from low-level feature...
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We present a classifier algorithm that approximates the decision surface of labeled data by a patchwork of separating hyperplanes. The hyperplanes are arranged in a way inspired by how Self-Organizing Maps are trained...
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We present a classifier algorithm that approximates the decision surface of labeled data by a patchwork of separating hyperplanes. The hyperplanes are arranged in a way inspired by how Self-Organizing Maps are trained. We take advantage of the fact that the boundaries can often be approximated by linear ones connected by a low-dimensional nonlinear manifold. The resulting classifier allows for a voting scheme that averages over neighboring hyperplanes. Our algorithm is computationally efficient both in terms of training and classification. Further, we present a model selection framework for estimation of the paratmeters of the classification boundary, and show results for artificial and real-world data sets.
In this work, we present an object recognition infrastructure that can be adapted to the needs of a broad spectrum of tasks without writing a single line of code. Instead, it can be configured to generate various visu...
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