Software Technologie und Anwendungen Research Center Hagenberg
Publikationen
Issues in the Development of AAL Systems: What Experts Think
J. D. Hallewell Haslwanter, G. Fitzpatrick - Issues in the Development of AAL Systems: What Experts Think - Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, Rhodes, Griechenland, 2017, pp. 201-208
Although the development of Ambient Assisted Living technologies is being financed to support older people, there are not many systems on the market to date....
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A Critical Incident from an AAL Project
J. D. Hallewell Haslwanter, G. Fitzpatrick - A Critical Incident from an AAL Project - Designing e-Health Services for Patients & Relatives - NordiCHI '16 Workshop, Göteborg, Schweden, 2016, pp. 1-3
Problems encountered in the development of AAL solutions
J. D. Hallewell Haslwanter, G. Fitzpatrick - Problems encountered in the development of AAL solutions - AAL Forum 2016, St Gallen, Schweiz, 2016, pp. 18
Effect of a novel two-desk sit-to-stand workplace (ACTIVE OFFICE) on sitting time, performance and physiological parameters: protocol for a randomized control trial
B. Schwartz, J. Kapellusch, A. Schrempf, K. Probst, M. Haller, A. Baca - Effect of a novel two-desk sit-to-stand workplace (ACTIVE OFFICE) on sitting time, performance and physiological parameters: protocol for a randomized control trial - BMC Public Health, Vol. 16, No. 1, 2016, pp. 578-588
Background
Prolonged sitting is ubiquitous in modern society and linked to several diseases. Height-adjustable desks are being used to decrease worksite based...
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Evolving Simple Symbolic Regression Models by Multi-objective Genetic Programming
M. Kommenda, G. K. Kronberger, M. Affenzeller, S. M. Winkler, B. Burlacu - Evolving Simple Symbolic Regression Models by Multi-objective Genetic Programming in Genetic Programming Theory and Practice XIII (Editors: Rick Riolo, William P. Worzel, Mark Kotanchek, Arthur Kordon) - Springer, 2016, pp. 1-19
In this chapter we examine how multi-objective genetic programming can be used to perform symbolic regression and compare its performance to single-objective...
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Distribution of waiting time for dynamic pickup and delivery problems
S. Vonolfen, M. Affenzeller - Distribution of waiting time for dynamic pickup and delivery problems - ANNALS OF OPERATIONS RESEARCH, Vol. 236, No. 2, 2016, pp. 359-382
Analysis of Uncertainty in Engineering Design Optimization Problems
P. Fleck, M. Kommenda, M. Affenzeller, T. Prante - Analysis of Uncertainty in Engineering Design Optimization Problems - Proceedings of the 28th European Modeling and Simulation Symposium EMSS 2016, Larnaca, Zypern, 2016, pp. 107-116
In this paper, we analyze popular benchmark instances in the field of engineering design optimization regarding the robustness of published solutions. First,...
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Why do few assistive technology systems make it to market?
J. D. Hallewell Haslwanter, G. Fitzpatrick - Why do few assistive technology systems make it to market? - Universal Access in the Information Society, Vol. 16, No. 3, 2016, pp. 755-773
Simplifying Problem Definitions in the HeuristicLab Optimization Environment
A. Scheibenpflug, A. Beham, M. Kommenda, J. Karder, S. Wagner, M. Affenzeller - Simplifying Problem Definitions in the HeuristicLab Optimization Environment - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference, GECCO'15 Companion, Madrid, Spanien, 2015, pp. 1101-1108
Connichiwa: A Framework for Cross-Device Web Applications
M. Schreiner, R. Rädle, H. C. Jetter, H. Reiterer - Connichiwa: A Framework for Cross-Device Web Applications - Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, Seoul, Südkorea, 2015, pp. 2163-2168
Concepts and Requirements for a Cloud-based Optimization Service
W. Kurschl, S. Pimminger, S. Wagner, J. Heinzelreiter - Concepts and Requirements for a Cloud-based Optimization Service - Proceedings of the 3rd Asia-Pacific Conference on Computer Aided System Engineering Conference (APCASE 2015), Quito, Ecuador, Ecuador, 2015
Themis - Vererben in der Cloud
A. Lindley, S. Pimminger, W. Eibner, M. Bartha - Themis - Vererben in der Cloud - Tagungsband DACH Security 2015, Sankt Augustin, Deutschland, 2015, pp. 13
Vererben bedeutet teilen mit der Zukunft. Das Themis Projekt stellt eine sichere und skalierbare Plattformlösung bereit, die es dem Endanwender erlaubt,...
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Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning
S. M. Winkler, G. K. Kronberger, M. Kommenda, S. Fink, M. Affenzeller - Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning - Lecture Notes in Computer Science LNCS 9520, Las Palmas, Gran Canaria, Spanien, 2015, pp. 326-333
In this paper we analyze the dynamics of the predictability and variable interactions in financial data of the years 2007–2014. Using a sliding window...
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Using Contextual Information in Sequential Search for Grammatical Optimization Problems
G. K. Kronberger, M. Kommenda, S. M. Winkler, M. Affenzeller - Using Contextual Information in Sequential Search for Grammatical Optimization Problems - Lecture Notes in Computer Science LNCS 9520, Las Palmas, Gran Canaria, Spanien, 2015, pp. 417-424
Automated synthesis of complex programs is still an unsolved problem even though some successes have been achieved recently for relatively contrived and...
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Simulation-Based Optimization with HeuristicLab
M. Affenzeller, A. Beham, S. Vonolfen, E. Pitzer, S. M. Winkler, S. Hutterer, M. Kommenda, M. Kofler, G. K. Kronberger, S. Wagner - Simulation-Based Optimization with HeuristicLab in Applied Simulation and Optimization (Contributions to Book: Part/Chapter/Section 1), (Editors: M. Mujica Mota, I. De La Mota, D. Guimarans Serrano) - Springer, 2015, pp. 3-38
Dynamic and stochastic problemenvironments are often difficult tomodel using standard problem formulations and algorithms. One way to model and then solve...
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Themis - Conserve Your Digital Life
S. Pimminger, J. Heinzelreiter, W. Kurschl, A. Lindley - Themis - Conserve Your Digital Life - Tagungsband 9. Forschungsforum der österreichischen Fachhochschulen, Hagenberg, Österreich, 2015, pp. 7
Search Strategies for Grammatical Optimization Problems – Alternatives to Grammar-Guided Genetic Programming
G. K. Kronberger, M. Kommenda - Search Strategies for Grammatical Optimization Problems – Alternatives to Grammar-Guided Genetic Programming in Computational Intelligence and Efficiency in Engineering Systems (Contributions to Book: Part/Chapter/Section 7), (Editors: G. Borowik, Z. Chaczko, L.G. Ford, W. Jacak, T. Luba) - Springer, 2015, pp. 89-102
Concise Supply-Chain Simulation Optimization for Large Scale Logistic Networks
E. Pitzer, G. K. Kronberger - Concise Supply-Chain Simulation Optimization for Large Scale Logistic Networks in Computational Intelligence and Efficiency in Engineering Systems (Contributions to Book: Part/Chapter/Section 30), (Editors: G. Borowik, Z. Chaczko, L.G. Ford, W. Jacak, T. Luba) - Springer, 2015, pp. 429-442
Heterogeneous versus Homogeneous Machine Learning Ensembles
A. Petrakova, M. Affenzeller, G. Merkuryeva - Heterogeneous versus Homogeneous Machine Learning Ensembles - Information Technology and Management Science, Vol. 18, No. 1, 2015, pp. 135-142
The research demonstrates efficiency of the heterogeneous model ensemble application for a cancer diagnostic procedure. Machine learning methods used for the...
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Sliding Window Symbolic Regression for Detecting Changes of System Dynamics
S. M. Winkler, M. Affenzeller, G. K. Kronberger, M. Kommenda, B. Burlacu, S. Wagner - Sliding Window Symbolic Regression for Detecting Changes of System Dynamics in Genetic Programming Theory and Practice XII (Contributions to Book: Part/Chapter/Section 6), (Editors: Rick Riolo, William P. Worzel, Mark Kotanchek ) - Springer, 2015, pp. 91-107
In this chapter we discuss sliding window symbolic regression and its ability to systematically detect changing dynamics in data streams. The sliding window...
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Complexity Measures for Multi-Objective Symbolic Regression
M. Kommenda, A. Beham, M. Affenzeller, G. K. Kronberger - Complexity Measures for Multi-Objective Symbolic Regression - Lecture Notes in Computer Science LNCS 9520, Las Palmas, Gran Canaria, Spanien, 2015, pp. 409-416
Multi-objective symbolic regression has the advantage that while the accuracy of the learned models is maximized, the complexity is automatically adapted and...
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