10 Result(s)
within
Conference Paper
Bernhard Freudenthaler
Information Systems Applications (incl. Internet)
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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
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
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
Adaptive Flood Forecasting for Small Catchment Areas
In this paper a prototypical flood forecasting system for small catchment areas is presented. Due to the fact that flood forecasting models for small rivers normally not exist we developed an approach by combi...
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Chapter and Conference Paper
Combining Relational and NoSQL Database Systems for Processing Sensor Data in Disaster Management
In disaster and emergency management the integration of different kinds of sensor networks gains in importance and consequently more and more data becomes available. The upcoming NoSQL database systems are fle...
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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...
