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Elena Fedorchenko, Evgenia Novikova, Andrey Fedorchenko and Sergei Verevkin
Currently, enhancing the efficiency of vulnerability detection and assessment remains relevant. We investigate a new approach for the detection of vulnerabilities that can be used in cyber attacks and assess their severity for further effective responses...
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Benjamin Shade and Eduardo G. Altmann
Quantifying the dissimilarity of two texts is an important aspect of a number of natural language processing tasks, including semantic information retrieval, topic classification, and document clustering. In this paper, we compared the properties and per...
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Yunus Dogan, Feristah Dalkiliç, Alp Kut, Kemal Can Kara and Uygar Takazoglu
Large numbers of job postings with complex content can be found on the Internet at present. Therefore, analysis through natural language processing and machine learning techniques plays an important role in the evaluation of job postings. In this study, ...
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Min-Hsien Weng, Shaoqun Wu and Mark Dyer
With the rapidly growing number of scientific publications, researchers face an increasing challenge of discovering the current research topics and methodologies in a scientific domain. This paper describes an unsupervised topic detection approach that u...
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Huazhi Li, Zhangyu Wang, Guizhen Yu, Ziren Gong, Bin Zhou, Peng Chen and Fei Zhao
Object detection is an essential task for autonomous vehicles to ensure safety. Due to the complexity of mining environments, it is difficult to detect objects accurately and robustly. To address these issues, this paper proposes a novel 3D LiDAR-based o...
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