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pro vyhledávání: '"Artelt"'
Autor:
Vaquet, Valerie, Hinder, Fabian, Artelt, André, Ashraf, Inaam, Strotherm, Janine, Vaquet, Jonas, Brinkrolf, Johannes, Hammer, Barbara
Research on methods for planning and controlling water distribution networks gains increasing relevance as the availability of drinking water will decrease as a consequence of climate change. So far, the majority of approaches is based on hydraulics
Externí odkaz:
http://arxiv.org/abs/2410.12461
Autor:
Dettinger, Falk, Weiß, Matthias, Dittler, Daniel, Stümpfle, Johannes, Artelt, Maurice, Weyrich, Michael
Wireless communication between road users is essential for environmental perception, reasoning, and mission planning to enable fully autonomous vehicles, and thus improve road safety and transport efficiency. To enable collaborative driving, the conc
Externí odkaz:
http://arxiv.org/abs/2410.10264
Autor:
Artelt, André, Hammer, Barbara
EXplainable AI (XAI) constitutes a popular method to analyze the reasoning of AI systems by explaining their decision-making, e.g. providing a counterfactual explanation of how to achieve recourse. However, in cases such as unexpected explanations, t
Externí odkaz:
http://arxiv.org/abs/2406.03012
Autor:
Artelt, André, Kyriakou, Marios S., Vrachimis, Stelios G., Eliades, Demetrios G., Hammer, Barbara, Polycarpou, Marios M.
Drinking water is a vital resource for humanity, and thus, Water Distribution Networks (WDNs) are considered critical infrastructures in modern societies. The operation of WDNs is subject to diverse challenges such as water leakages and contamination
Externí odkaz:
http://arxiv.org/abs/2406.02078
Autor:
Artelt, André, Gregoriades, Andreas
Counterfactual explanations constitute among the most popular methods for analyzing black-box systems since they can recommend cost-efficient and actionable changes to the input of a system to obtain the desired system output. While most of the exist
Externí odkaz:
http://arxiv.org/abs/2403.01221
Autor:
Rittmeier, Sascha, Waeschle, Reiner M., Artelt, Tanja, Fehling, Patrick, Suckow, Arnt, Siess, Martin, Scheithauer, Simone
Publikováno v:
GMS Hygiene and Infection Control, Vol 16, p Doc18 (2021)
Aim: In 2017, the Institute for Quality Assurance and Transparency in Healthcare (IQTIG) introduced a quality assurance system for the surveillance of surgical site infections (SSI) on behalf the Federal Joint Committee. The establishment of the new
Externí odkaz:
https://doaj.org/article/9b32040c62e741b7bedaf194d74eaa0a
Counterfactual explanations provide a popular method for analyzing the predictions of black-box systems, and they can offer the opportunity for computational recourse by suggesting actionable changes on how to change the input to obtain a different (
Externí odkaz:
http://arxiv.org/abs/2402.08290
Publikováno v:
Explainable Artificial Intelligence. xAI 2023. Communications in Computer and Information Science, vol 1903
Counterfactual explanations (CFEs) are a popular approach in explainable artificial intelligence (xAI), highlighting changes to input data necessary for altering a model's output. A CFE can either describe a scenario that is better than the factual s
Externí odkaz:
http://arxiv.org/abs/2306.07637
Many Machine Learning models are vulnerable to adversarial attacks: There exist methodologies that add a small (imperceptible) perturbation to an input such that the model comes up with a wrong prediction. Better understanding of such attacks is cruc
Externí odkaz:
http://arxiv.org/abs/2306.06107
Autor:
Artelt, André, Gregoriades, Andreas
Employee attrition is an important and complex problem that can directly affect an organisation's competitiveness and performance. Explaining the reasons why employees leave an organisation is a key human resource management challenge due to the high
Externí odkaz:
http://arxiv.org/abs/2303.04579