Titlebook: Cognitive Computing – ICCC 2020; 4th International Co Yujiu Yang,Lei Yu,Liang-Jie Zhang Conference proceedings 2020 Springer Nature Switzer

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https://doi.org/10.1007/978-1-4614-1412-4n in three-dimensional medical images. However, the existing approaches often need to be processed in stages pipeline, without considering the anatomical nested structural characteristics of brain tumors, thus affecting the accuracy and efficiency of tumor segmentation. In this paper, we propose the

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Itai Benjamini,Gn. Kalai,Oded Schrammservice capabilities. However, the description of questions is often ambiguous, and the operation and maintenance of online KG based QA services introduces a high cost. To address the above issues, this paper proposes a semantic enhancement based dynamic construction of domain knowledge graph for an

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https://doi.org/10.1007/978-1-4419-9675-6ital for future technology such as smart-city traffic planning. In this research we use a simple machine learning model (AdaBoost) applied to freely available traffic data from the Caltrans Performance Measurement System (PeMS) to develop a state of the art AID mechanism. In addition we discuss rela

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Cognitive Computing – ICCC 2020978-3-030-59585-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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HFF: Hybrid Feature Fusion Model for Click-Through Rate Predictionecessity of high-level features has been recognized, how to integrate high-level features with low-level features has not been studied well. There are some works fuse low- and high-level features by simply sum or concatenation operations. We argue it is not an effective way because they treat low- a

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