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Semantic media decision taking using N3logic [PDF]
Multimedia Tools and Applications, 2012 In this paper, we introduce a media decision taking engine (MDTE), enabling the automatic selection and/or rating of multimedia content versions, based on the available context information. The presented approach is fully semantic-driven, which means that we not only semantically model the context information, but also the decision algorithms themselve,
Wim Van Lancker +3 more
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Semantic Richness Effects in Syntactic Classification: The Role of Feedback
Frontiers in Psychology, 2016 Words with richer semantic representations are recognized faster across a range of lexical processing tasks. The most influential account of this finding is based on the idea that semantic richness effects are mediated by feedback from semantic-level to ...
Melvin J Yap, Penny M Pexman
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Convolutional neural network-based automated segmentation and labeling of the lumbar spine X-ray
Journal of Craniovertebral Junction and Spine, 2021 Purpose: This study investigated the segmentation metrics of different segmentation networks trained on 730 manually annotated lateral lumbar spine X-rays to test the generalization ability and robustness which are the basis of clinical decision support ...
Sandor Konya +5 more
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Brain Sciences, 2023 This study investigates the extent to which highly proficient Spanish–Catalan bilinguals activate Spanish translation equivalents when they are presented with Catalan words. Participants performed a translation recognition task (Experiment 1) or a primed
Pilar Ferré +2 more
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Seeing the Meaning: Top–Down Effects on Letter Identification
Frontiers in Psychology, 2017 Most models of reading agree that visual word recognition is underpinned by a highly interactive network in which both bottom–up and top–down processes contribute.
Anna M. Woollams +2 more
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Text summarization as a decision support aid
BMC Medical Informatics and Decision Making, 2012 Background PubMed data potentially can provide decision support information, but PubMed was not exclusively designed to be a point-of-care tool. Natural language processing applications that summarize PubMed citations hold promise for extracting decision
Workman T +2 more
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Frontiers in Human Neuroscience, 2012 There is considerable evidence (e.g., Pexman, Hargreaves, Siakaluk, Bodner, & Pope, 2008) that semantically rich words, which are associated with relatively more semantic information, are recognized faster across different lexical processing tasks ...
Melvin J. Yap +4 more
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UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Semantic segmentation of aerial videos has been extensively used for decision making in monitoring environmental changes, urban planning, and disaster management. The reliability of these decision support systems is dependent on the accuracy of the video
S. Girisha +3 more
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A Semantic Sensor Web for Environmental Decision Support Applications
Sensors, 2011 Sensing devices are increasingly being deployed to monitor the physical world around us. One class of application for which sensor data is pertinent is environmental decision support systems, e.g., flood emergency response.
Raúl García-Castro +16 more
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NeuroImage, 2020 Human cognition flexibly guides decision-making in familiar and novel situations. Although these decisions are often treated as dichotomous, in reality, situations are neither completely familiar, nor entirely new.
Xiuyi Wang +3 more
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