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XAutoML : A Visual Analytics Tool for Understanding and Validating Automated Machine Learning
(2023)
Semi-rigid ring-shaped electrode dielectric electroactive polymer membrane as buckling actuator
(2019)
The influence of image reconstruction algorithms on linear thorax EIT image analysis of ventilation
(2014)
An analytical force and surface roughness model for cylindrical grinding of brittle materials
(2017)
Assessment of Lung Recruitment by Electrical Impedance Tomography and Oxygenation in ARDS Patients
(2016)
Oxygen Therapy Delivery and Body Position Effects Measured With Electrical Impedance Tomography
(2020)
Increasing Resilience of Production Systems by Dynamic Context Modelling and Process Adaption
(2023)
Anti-platelet drugs and outcome in severe infection: Clinical impact and underlying mechanisms
(2009)
Passivated electrode side walls by atomic layer deposition on flexible polyimide based samples
(2020)
Notions of "coronavirus" from the perspective of a clinical immunologist and medical historian
(2020)
Selected case studies regarding research-based education in the area of machine and civil assemblies
(2023)
Effects of Non-Driving Related Task Modalities on Takeover Performance in Highly Automated Driving
(2018)
In Industry 4.0 machine learning approaches are a state-of-the art for predictive maintenance, machine condition monitoring, and others. Distributed decision trees are one of the learning algorithms for such applications. A new approach of node based parallelization for the construction is presented and allows to classify data through a network of nodes. Attacks on the nodes are discussed based on different attack scenarios and attack classifications are presented. A thorough analysis of protection measurements is given, such that classification is not maliciously modified by an attacker. Different countermeasures are proposed and analyzed. A quorum-based system allows for a good balance between computational overhead and robustness of the algorithm.