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40 Result(s)
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Bernhard Freudenthaler
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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
KI-Net: AI-Based Optimization in Industrial Manufacturing—A Project Overview
Artificial intelligence (AI) is a crucial technology of industrial digitalization. Especially in the production industry, a great potential is present in optimizing existing processes, e.g., concerning resourc...
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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
Membership-Map**s for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder
This paper suggests to use membership-map** as the building block of deep models. An alternative idea of deep autoencoder, referred to as Bregman Divergence Based Conditionally Deep Autoencoder (that consists o...
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Chapter and Conference Paper
Deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends
This study presents our ongoing research on designing new methods for changepoint detection in industrial environments using a CUSUM method variant. The changepoint detection refers to identifying the location...
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Chapter and Conference Paper
Membership-Map**s for Data Representation Learning: Measure Theoretic Conceptualization
A fuzzy theoretic analytical approach was recently introduced that leads to efficient and robust models while addressing automatically the typical issues associated to parametric deep models. However, a formal...
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Chapter and Conference Paper
Variational Optimization of Informational Privacy
The datasets containing sensitive information can’t be publicly shared as a privacy-risk posed by several types of attacks exists. The data perturbation approach uses a random noise adding mechanism to preserv...
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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
Enhancing Industrial Maintenance Through Intelligent Data Analysis
For years, the amount of data generated in many industrial production plants has been said to have great potential for improving maintenance processes. In order to leverage this potential in practice, however,...
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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
A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence
As a result of the continuously growing volume of information available, browsing and querying of textual information in search of specific facts is currently a tedious task exacerbated by a reality where dat...
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Book
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Chapter
Summary and Outlook
In this chapter, we summarise our work on the Hagenberg Business Process Modelling (H-BPM) method, a novel and homogeneous integration framework for business process modelling based on a rigorous semantics for...
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Chapter
Deontic Process Diagrams
In most BPMLs, modality is implicitly expressed through the structure of the process flow, so all activities are (tacitly) obligatory, and whenever something should be optional, a gateway is used to split the ...
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Chapter
A Typed Approach to User Interaction Modelling
In this chapter, we propose a typed approach to business process specification that supports the integration of workflow definition and dialogue programming and is also open to business process modelling. The ...
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Chapter
Horizontal Model Integration
In this chapter, we give an overview of the different models, which extend the core process description of common business process modelling languages. We describe how the models are related to each other and ...
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Chapter
Introduction
In the Introduction, we motivate the increasing need for extending current approaches to business process modelling. We give an outline of the book and briefly introduce our chief contributions—deontic classif...
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Chapter
A Layered Approach for Actor Modelling
Several BPMLs that primarily express the flow of activities provide only limited support for actor modelling. For example, BPMN and UML activity diagrams suggest rigid swimlane concepts to model roles and acto...
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Chapter
An Enhanced Communication Concept
In this chapter, we propose a generalised event concept for business process modelling which can increase flexibility for users in matters of communication, but also increases the number of different communica...
