Campus HagenbergResearch Center

Publikationen

Die Potenziale von Mixed Reality für die betriebliche Aus- und Weiterbildung.

T. Jadin - Die Potenziale von Mixed Reality für die betriebliche Aus- und Weiterbildung. - Soziotechnische Gestaltung des digitalen Wandels –kreativ, innovativ, sinnhaft, Brugg-Windisch und Zürich, Schweiz, 2017, pp. 4
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  • Medien und Wissenstechnologien

Virtual Teams as part of Internationalization of Higher Education.

T. Chydenius, T. Jadin - Virtual Teams as part of Internationalization of Higher Education. - Proceedings Cross-Cultural Business Conference 2017, Steyr, Österreich, 2017, pp. 211-220
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  • Medien und Wissenstechnologien

Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals

M. Affenzeller, B. Burlacu, S. M. Winkler, M. Kommenda, G. K. Kronberger, S. Wagner - Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 424-431
This paper proposes some algorithmic extensions to the gen- eral concept of offspring selection which itself is an algorithmic extension of genetic…   mehr
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  • Software Technologie und Anwendungen

Integrating Exploratory Landscape Analysis into Metaheuristic Algorithms

A. Beham, E. Pitzer, S. Wagner, M. Affenzeller - Integrating Exploratory Landscape Analysis into Metaheuristic Algorithms - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 473-480
The no free lunch (NFL) theorem puts a limit to the range of problems a certain metaheuristic algorithm can be applied to success- fully. For many methods…   mehr
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  • Software Technologie und Anwendungen

Analysis of Schema Frequencies in Genetic Programming

B. Burlacu, M. Affenzeller, M. Kommenda, G. K. Kronberger, S. M. Winkler - Analysis of Schema Frequencies in Genetic Programming - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 7
Genetic Programming (GP) schemas are structural templates equivalent to hyperplanes in the search space. Schema theories provide information about the…   mehr
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  • Software Technologie und Anwendungen

Solving the Traveling Thief Problem using Orchestration in Optimization Networks

J. Karder, A. Beham, S. Wagner, M. Affenzeller - Solving the Traveling Thief Problem using Orchestration in Optimization Networks - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 307-315
Optimization problems can sometimes be divided into multiple subproblems. Working on these subproblems instead of the actual master problem can have some…   mehr
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  • Software Technologie und Anwendungen

Optimization Networks for Integrated Machine Learning

M. Kommenda, J. Karder, A. Beham, B. Burlacu, G. K. Kronberger, S. Wagner, M. Affenzeller - Optimization Networks for Integrated Machine Learning - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 392-399
Optimization networks are a new methodology for holistically solving interrelated problems that have been developed with combinatorial optimization problems in…   mehr
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  • Software Technologie und Anwendungen

Measures for the Evaluation and Comparison of Graphical Model Structures

G. K. Kronberger, B. Burlacu, M. Kommenda, S. M. Winkler, M. Affenzeller - Measures for the Evaluation and Comparison of Graphical Model Structures - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 283-290
Structure learning is the identification of the structure of graphical models based solely on observational data and is NP-hard. An important component of many…   mehr
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  • Software Technologie und Anwendungen

Facilitating Evolutionary Algorithm Analysis with Persistent Data Structures

E. Pitzer, M. Affenzeller - Facilitating Evolutionary Algorithm Analysis with Persistent Data Structures - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 416-423
Evolutionary algorithm analysis is often impeded by the large amounts of intermediate data that is usually discarded and has to be painstakingly reconstructed…   mehr
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  • Software Technologie und Anwendungen

Analysing a Hybrid Model-Based Evolutionary Algorithm for a Hard Grouping Problem

S. Raggl, A. Beham, S. Wagner, M. Affenzeller - Analysing a Hybrid Model-Based Evolutionary Algorithm for a Hard Grouping Problem - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 347-354
We present a new hybrid model-based algorithm called Memetic Path Relinking (MemPR). MemPR incorporates ideas of memetic, evolutionary, model-based…   mehr
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  • Software Technologie und Anwendungen

Analysis and Visualization of the Impact of Different Parameter Configurations on the Behavior of Evolutionary Algorithms

S. Wagner, A. Beham, M. Affenzeller - Analysis and Visualization of the Impact of Different Parameter Configurations on the Behavior of Evolutionary Algorithms - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 439-446
Evolutionary algorithms are generic and flexible optimization algorithms which can be applied to many optimization problems in different domains. Depending on…   mehr
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  • Software Technologie und Anwendungen

A Fair Performance Comparison of Different Surrogate Optimization Strategies

B. Werth, E. Pitzer, M. Affenzeller - A Fair Performance Comparison of Different Surrogate Optimization Strategies - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 8
Much of the literature found on surrogate models presents new approaches or algorithms trying to solve black-box optimization problems with as little…   mehr
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  • Software Technologie und Anwendungen

Sliding Window Symbolic Regression for Predictive Maintenance using Model Ensembles

J. Zenisek, M. Affenzeller, J. Wolfartsberger, M. Silmbroth, C. Sievi, A. Huskic, H. Jodlbauer - Sliding Window Symbolic Regression for Predictive Maintenance using Model Ensembles - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 8
Predictive Maintenance (PdM) is among the trending topics in the current Industry 4.0 movement and hence, intensively investigated. It aims at sophisticated…   mehr
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  • Software Technologie und Anwendungen

The Development of Assistive Systems to Support Older People: Issues that Affect Success in Practice

J. D. Hallewell Haslwanter, G. Fitzpatrick - The Development of Assistive Systems to Support Older People: Issues that Affect Success in Practice - Technologies, Vol. 6, No. 1, 2017, pp. 1-21
Due to an aging population in Europe, the development of Ambient Assisted Living technologies (AAL) is increasingly the target of research financing. These…   mehr
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  • Software Technologie und Anwendungen
  • Leben im Alter

Is Two Enough?! Studying Benefits, Barriers, and Biases of Multi-Tablet Use for Collaborative Visualization

T. Plank, H. C. Jetter, R. Rädle, T. Luger, C. Klokmose, H. Reiterer - Is Two Enough?! Studying Benefits, Barriers, and Biases of Multi-Tablet Use for Collaborative Visualization - Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17), Denver, CO, USA, Vereinigte Staaten von Amerika, 2017
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Protecting Touch: Authenticated App-To-Server Channels for Mobile Devices Using NFC Tags

F. Carvalho Ota, M. Roland, M. Hölzl, R. Mayrhofer, A. Manacero - Protecting Touch: Authenticated App-To-Server Channels for Mobile Devices Using NFC Tags - Information, Vol. 8, No. 3, 2017, pp. 1-18
Traditional authentication methods (e.g., password, PIN) often do not scale well to the context of mobile devices in terms of security and usability. However,…   mehr
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  • Informations und Kommunikationssysteme

An Extensible and Privacy-preserving Mobile eID System for Real-world Identification and Offline Verification (Extended Abstract)

M. Hölzl, M. Roland, R. Mayrhofer - An Extensible and Privacy-preserving Mobile eID System for Real-world Identification and Offline Verification (Extended Abstract) - Privacy and Identity Management, Ispra, Italien, 2017
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  • Informations und Kommunikationssysteme

Application of search-based software engineering methodologies for test suite optimization and evolution in mission critical mobile application development

A. Schuler - Application of search-based software engineering methodologies for test suite optimization and evolution in mission critical mobile application development - Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, Paderborn, Deutschland, 2017, pp. 1034-1037
The demand for high quality mobile applications is constantly rising, especially in mission critical settings. Thus, new software engineering methodologies are…   mehr
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  • Software Technologie und Anwendungen

Driver Behavior Injection in Microscopic Traffic Simulations

M. Lindorfer, C. Backfrieder, C. Mecklenbräuker, G. Ostermayer - Driver Behavior Injection in Microscopic Traffic Simulations in Modeling, Design and Simulation of Systems (Editors: Mohamed Sultan Mohamed Ali et al.) - Springer, 2017, pp. 237-248
The individual behavior of drivers has a significant influence on the characteristics of vehicular transportation systems such as safety, capacity or traffic…   mehr
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  • Informations und Kommunikationssysteme

A Stochastic Driver Distraction Model for Microscopic Traffic Simulations

M. Lindorfer, C. Backfrieder, C. Mecklenbräuker, G. Ostermayer - A Stochastic Driver Distraction Model for Microscopic Traffic Simulations - Proceedings of the 31st European Simulation and Modelling Conference (ESM), Lisbon, Portugal, 2017, pp. 252-257
In this paper we propose a novel approach towards integrating driver distractions with microscopic traffic simulations for the purpose of evaluating the impact…   mehr
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Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods

J. Hidalgo, J. Colmenar, G. K. Kronberger, S. M. Winkler, O. Garnica, J. Lanchares - Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods - JOURNAL OF MEDICAL SYSTEMS, Vol. 41, No. 142, 2017, pp. 1-20
Predicting glucose values on the basis of insulin and food intakes is a difficult task that people with diabetes need to do daily. This is necessary as it is…   mehr
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  • Software Technologie und Anwendungen

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