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Titlebook: Database and Expert Systems Applications - DEXA 2021 Workshops; BIOKDD, IWCFS, MLKgr Gabriele Kotsis,A Min Tjoa,Sohail Khan Conference proc

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21#
發(fā)表于 2025-3-25 03:27:03 | 只看該作者
1865-0929 pplications,?DEXA 2021, held in a virtual format in September 2021:?The 12.th. ?International Workshop on Biological Knowledge Discovery from Data (BIOKDD 2021), the 5.th. ?International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems (IWCFS 2021), the 3.rd. ?International
22#
發(fā)表于 2025-3-25 11:01:20 | 只看該作者
23#
發(fā)表于 2025-3-25 12:51:10 | 只看該作者
24#
發(fā)表于 2025-3-25 15:54:49 | 只看該作者
25#
發(fā)表于 2025-3-25 23:41:57 | 只看該作者
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization property of the membership-mapping, that can be exploited for data representation learning, is of providing an interpolation on the given data points in the data space. An analytical approach to the variational learning of a membership-mappings based data representation model is considered.
26#
發(fā)表于 2025-3-26 01:33:56 | 只看該作者
27#
發(fā)表于 2025-3-26 04:25:00 | 只看該作者
Mode Switching for Secure Web Applications – A Juice Shop Case?Scenariowhen vulnerabilities are known or when attacks are performed. OWASP provides several vulnerable web applications for testing and training security skills. We have the idea of applying mode switching to one of these applications in order to demonstrate its usefulness in increasing security. We have c
28#
發(fā)表于 2025-3-26 11:47:47 | 只看該作者
29#
發(fā)表于 2025-3-26 12:45:23 | 只看該作者
Security-Based Safety Hazard Analysis Using FMEA: A DAM Case Studyts and have mutual impact on each other. In the last decade, there are many cases where security breach resulted in safety hazards. There have been very few studies in the literature that address the integrated safety security risk assessment. Since, the need of the time is to consider both safety a
30#
發(fā)表于 2025-3-26 19:40:59 | 只看該作者
Privacy Preserving Machine Learning for?Malicious URL Detectionn sensitive information from users, install malware and obtain control over their systems. Currently, web browsers counter this attack using blacklisting method, however it fails to detect newly generated malicious websites, hence ineffective. In the recent times, machine learning based URL classifi
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