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Chapter and Conference Paper
An Untold Tale of Scientific Collaboration: SCCH and AC \(^2\) T
In the last two decades, the application of artificial intelligence (AI) in different fields has increased significantly. As an interdisciplinary field, AI methods are improving toward efficiency and applicabi...
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Chapter and Conference Paper
Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data
A methodology for practical secure privacy-preserving distributed machine (deep) learning is proposed via addressing the core issues of fully homomorphic encryption, differential privacy, and scalable fast mac...
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Chapter and Conference Paper
General Model for Tracking Manufacturing Products Using Graph Databases
One of the major problems in the manufacturing industry consists of the fact that, when manufacturing a product, many parts from different lots are supplied and mixed to a certain degree during an indeterminat...
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Chapter and Conference Paper
Multiple Choice Question Answering in the Legal Domain Using Reinforced Co-occurrence
Nowadays, the volume of legal information available is continuously growing. As a res...
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Chapter and Conference Paper
Deriving an Optimal Noise Adding Mechanism for Privacy-Preserving Machine Learning
Differential privacy is a standard mathematical framework to quanti...
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Chapter and Conference Paper
Maintaining and Analyzing Production Process Definitions Using a Tree-Based Similarity Measure
In this work a Case-Based reasoning system for managing production processes, declarative production process definitions in particular, with main focus on analysis and maintenance is introduced whereby each pr...
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Chapter and Conference Paper
BIAccelerator – A Template-Based Approach for Rapid ETL Development
Business Intelligence projects include a big variety of challenges for all involved parties. Due to individual and changeable customer requirements or lacking standardization, there is much legwork which BI de...
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Chapter and Conference Paper
CBRSHM – A Case-Based Decision Support System for Semi-Automated Assessment of Structures in Terms of Structural Health Monitoring
This contribution describes a case-based decision support system which is intended for being used in the field of Structural Health Monitoring to support the assessment of structures (by using the example of l...