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

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On the Solvability of the XOR Problem by Spiking Neural Networksding and its solvability by spiking neural networks with minimal configurations of leaky integrate-and-fire (LIF) neurons. We use this problem as an example to study the effect of different hyper parameters such as information encoding, the number of hidden units in a fully connected reservoir, the

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Risk Assessment in AI System Engineering: Experiences and Lessons Learned from a Practitioner’s Pers in isolation, in practical environments, such vulnerabilities are commonly intertwined with additional risks, including data or concept drift. In this paper, we explore the potential risks associated with the development and deployment of machine learning (ML) systems in real-world applications. We

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From Paper to Pixels: A Multi-modal Approach to Understand and Digitize Assembly Drawings for Automalenge in engineering is that many older engineering drawings are only available in paper form, creating significant barriers for modern automated systems. This study tackles these challenges by employing advanced deep-learning techniques alongside traditional image processing to convert legacy engin

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Uncertainty Estimation for Energy Consumption Nowcastinging the relation between the performance of an array of prediction models improved via data aggregation and the measurement of uncertainty and its potential shift as a consequence of such aggregation. In order to gauge the impact of this approach we propose an experimental framework in which the pre

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Database and Expert Systems Applications - DEXA 2024 Workshops978-3-031-68302-2Series ISSN 1865-0929 Series E-ISSN 1865-0937

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