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Titlebook: Distributed Computing and Artificial Intelligence, 17th International Conference; Yucheng Dong,Enrique Herrera-Viedma,Sara Rodríguez Confe

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2194-5357 ce on Distributed Computing and Artificial Intelligence 2020This book brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. DCAI 2020 is
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Geoffrey Lee Williams,Alan Lee Williamsken off again. In particular, it is one of the few ways to test an autonomous vehicle . [.]. To achieve this, current traffic generators must increase their realism. We argue here that one of the major points of this realism concerns the consideration of risk in driving models. We propose here an in
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Geoffrey Lee Williams,Alan Lee Williams of a text can be considered a binary classification problem regarding whether two given sentences belong to the same paragraph. When the number of paragraphs is small relative to the number of sentences, it is necessary to consider the imbalance in the number of data. We applied the bidirectional e
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Erik Gawel,Sebastian Strunz,Alexandra Purkusrt programmers due to the complexity involved in rewriting the application and the required knowledge of the available hardware and tools. A simple parallel implementation of the Nearest Feature Line (NFL) and the RNFLS algorithms using OpenMP over multicore architectures is presented. Both non-para
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Albert Hoffrichter,Thorsten Beckers most difficult tasks. Our research challenge is to find ways to understand four-scene comics through AI. To achieve this aim, we used a novel dataset called “Four-scene Comics Story Dataset”, which is the first dataset made by researchers and comic artists to develop AI creations. In this paper, we
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