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

LAVA

End-to-End Nested Multi-Attention Network for 3D Brain Tumor Segmentationmentation results. Besides, we transform multi-class segmentation tasks into multiple binary sub-segmentation tasks. Experiments on the BraTS’2017 Challenge Dataset show that the proposed . framework is very suitable for organ tissue segmentation with nested anatomical structures. Here, our single-v

深陷

ALBERT-Based Chinese Named Entity Recognitionitional random field (CRF) to capture the sentence-level correlation information between words or characters to alleviate the tagging inconsistency problems. Experimental results demonstrate that our method outperforms the comparison methods over 4.23–11.17% in terms of relative F1-measure with only

关心

Cognitive and Predictive Analytics on Big Open Datang services, traditional taxi services have began facing increased competition. As such, there are increasing interests in factors that are associated with generous tips. Hence, to evaluate the practicality of our approach, we conduct a case study on applying our approach to transportation data (e.g

冒号

CLEAR

https://doi.org/10.1007/978-3-030-59585-2artificial intelligence; computational linguistics; computer networks; computer systems; computer vision

Explosive

Obituary

,Basu’s Work on Likelihood and Information,ecessity 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

不可比拟

压迫

过份好问

,Basu’s Work on Likelihood and Information,ringed. A product can be evaluated by reviews and ratings objectively. However, the topics of reviews are diverse while customers tend to focus on only a few aspects, and many reviews have wrong scores that are inconsistent with the content. Natural language processing (NLP) is helpful in mining the