Titlebook: Database and Expert Systems Applications - DEXA 2024 Workshops; IWCFS, AISys, CIU, N Bernhard Moser,Lukas Fischer,Sabrina Luftensteiner Con

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Necessities for a Resource Efficient Europeainty measurements. The results show that the not only the aggregation level, but the modeling choice can have an impact in terms of uncertainty quantification, revealing different sizes of confidence intervals. These measurements represent a novel approach to the model and aggregation level selection process.

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Uncertainty Estimation of Raters’ Performance and Ground Truth Through a Bayesian Extension of STAPLs method to ensure fast estimation even with large data. Experimental results show that the Bayesian extension uncovers some potential bias of the original STAPLE, and offers a representation of uncertainty to help the decision maker in assessing the reliability of the estimations.

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Uncertainty Estimation for Energy Consumption Nowcastingainty measurements. The results show that the not only the aggregation level, but the modeling choice can have an impact in terms of uncertainty quantification, revealing different sizes of confidence intervals. These measurements represent a novel approach to the model and aggregation level selection process.

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Improved CPSoS Security: An Enhanced Anomaly-Based Intrusion Detection Architecture Systems (CPSoS) that imposes a wide range of requirements. In light of this problem, we first identify a set of requirements in this problem space and further derive a novel architecture design for that aims to incorporate Ab-IDS into complex CPSoS environments.

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Risk Assessment in AI System Engineering: Experiences and Lessons Learned from a Practitioner’s Pers discuss secure ML engineering practices, their benefits, and their drawbacks and evaluate them based on their effectiveness in real-life use cases. Our study aims to provide a foundation for risk analysis and decision-making in practical ML applications where performance and security threats are highly intertwined.

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1865-0929 Applications, DEXA 2024, which took place in Naples, Italy, in August 2024...The papers included in this book stem from the following workshops:..- 9th International Workshop on Cyber-Security and Functional Safety inCyber-Physical Systems (IWCFS 2024),..- 4th International Workshop on AI SystemEngi

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Assessing the Maturity of Blockchain-Based Implementations with Software Reliability Growth Modelsiability in handling data. However, Blockchain-Based Implementations (BBIs) remain a complex and challenging task for the developers, especially when ensuring quality across multiple nodes. Despite the growing popularity of BBIs, the existing literature lacks a way to establish quality standards for

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An Automated Ontology-Based Requirements Traceability Technique in Agile Software Development Contexuickly. However, managing the requirements in the ASD context remains a challenging task. This is because frequent changes need to be accommodated in the iterations. Consequently. It is challenging to effectively handle the changes and trace the requirements among artifacts such as sub-user stories,

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