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Titlebook: Neural Information Processing; 25th International C Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa Conference proceedings 2018 Springer Nat

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HISBmodel: A Rumor Diffusion Model Based on Human Individual and Social Behaviors in Online Social NSBmodel. Its originality lies in the consideration of various human factors such as the human social and individual behaviors and the individuals’ opinions. Moreover, we present new metrics that allow accurate assessment of the propagation of rumors. Based on this model, we present a strategy to min
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Multi-scale Feature Decode and Fuse Model with CRF Layer for Boundary Detection of salient edge effectively, we propose a novel method of edge detection called MSDF (Multi Scale Decode and Fusion) based on deep structured multi-scale features in this paper. The decoding layer of MSDF can fuse the adjacent features of the DNN multi-scale and increase the correlation between the
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Sentimental Analysis for AIML-Based E-Health Conversational Agents importance of the consistency between the response of the chat-bot and the sentiment of the input utterance. This is quite challenging as detecting the sentiment of an utterance often depends on the context and timing of the conversation. Moreover, whereas humans have complex repair strategies, enc
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CocoNet: A Deep Neural Network for Mapping Pixel Coordinates to Color Values., i.e. .ordinates-to-.lor .work. During the training process, the neural network learns to encode the input image within its layers, i.e. it learns a continuous function that approximates the discrete RGB values sampled over the discrete 2D pixel locations. At test time, given a 2D pixel coordinate
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A Model for Age and Gender Profiling of Social Media Accounts Based on Post Contentsentiments. However, along with the rapid growth and rise of the Internet, the idea of anonymity has also been introduced wherein user identities are easily falsified and hidden. Hence, presenting difficulty for businesses to give accurate advertisements to specific account demographics. As such, thi
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