Unsere
Publikationen

2010 | Roland Schwaiger und Martin Schwaiger 
„ROSA-TOM Agile Prozesserfassung“, Books on Demand, 2008,

ISBN 3-8391-6919-4

Genaueres siehe Abschnitt Rosa-Tom.

2009 | Dominik Ofenloch und Roland Schwaiger 
„Getting Started with Web Dynpro ABAP“, SAP Press, 11.2009,

ISBN 978-1-59229-311-7

2009 | Dominik Ofenloch und Roland Schwaiger 
„Einstieg in Web Dynpro ABAP“, SAP Press, 04.2009, ISBN 978-3-8362-1315-8

2008 | Roland Schwaiger 
„Sprachen und Standards für IST- und SOLL-Prozessbeschreibungen im betrieblichen Umfeld“, Thesis für MBA (Master of Business Administration, Schwerpunkt: Prozess- und Projektmanagement) an der Salzburg Management und Business School (SMBS), 2008

2008 | Roland Schwaiger 
„Sprachen und Standards für IST- und SOLL-Prozessbeschreibungen im betrieblichen Umfeld“, Books on Demand, 2008, ISBN 9783837063226

2002 | H. A. Mayer, R. Schwaiger 
„Differentiation of Neuron Types by Evolving Activation Function Templates for Artificial Neural Networks“, Proceedings of the 2002 World Congress on Computational Intelligence, International Joint Conference on Neural Networks, pp. 1773-1778, Honolulu, Hawaii, 2002.

Nindl, N. F. (2001). Moderne Technologien der Softwareentwicklung im Bereiche des E-Business. na.

2001 | H. A. Mayer, R. Schwaiger 
„Evolution of Cubic Spline Activation Functions for Artificial Neural Networks”, Proceedings of the 10th Portuguese Conference on Artificial Intelligence (EPIA 2001), Porto, Portugal, 2001. Springer LNAI 2258, pp. 63-73, ISBN-13 978-3540430308

2001 | Roland Schwaiger 
„Evolutionary Methods in Artificial Neural Networks Design and Multi Agent Systems“, Dissertation für Dr.rer.nat. auf der Naturwissenschaftlichen Fakultät an der Universität Salzburg.

2001 | Roland Schwaiger, Konrad Lang
„Evolution of Wandering Behavior in a Multi Agent System: An Experiment“, In Artificial Intelligence Series “Advances in Neural Networks an Applications” (2001), pp. 47-52, ISBN 960-8052-26-2

1999 | Helmut Mayer and Roland Schwaiger 
“Evolutionary and Coevolutionary Approaches to Time Series Prediction Using Generalized Multi-Layer Perceptrons”, Proceedings of the 1999 Congress on Evolutionary Computation, Washington DC: IEEE Press, 275-280.

1998 | Roland Schwaiger
„Pruning, Growing and Evolutionary Design of Artificial Neural Networks“, Diplomarbeit für Dipl.-Ing. am Institut für Computerwissenschaften an der Universität Salzburg.

1997 | Helmut A. Mayer, Roland Schwaiger
„Towards the Evolution of Training Data Sets for Artificial Neural Networks”. Proceedings of the 4th IEEE International Conference on Evolutionary Computation, Indianapolis, Indiana: IEEE Press, 663-666 .

1997 | Roland Schwaiger, Helmut A. Mayer
„Genetic Algorithms to Create Training Data Sets for Artificial Neural Networks”, Proceedings of the 3rd Nordic Workshop on Genetic Algorithms and their Applications, Helsinki, Finland, 153-161.

1996 | Helmut A. Mayer and Roland Schwaiger and Reinhold Huber 
“Evolving Topologies of Artificial Neural Networks Adapted to Image Processing Tasks”, in Proceeding of the 26th International Symposium on Remote Sensing of Environment, March 1996, 73-79.

1996 | Reinhold Huber and Roland Schwaiger and Helmut A. Mayer
”On the Role of Regularization Parameters in Fitness Function for Evolutionary Designed Artificial Neural Networks”, World Congress on Neural Networks, September 15-20, 1996, San Diego, California.

1996 | Reinhold Huber and Helmut A. Mayer and Schwaiger Roland 
“Evolution of Low Complexity Artificial Neural Networks for Land Cover Classification from Remote Sensing Data”, 20th Workshop of the Austrian Pattern Recognition Group (OAGM), May 9-10, 1996, Schloss Seggau, Leibnitz, Austria.

1996 | Helmut A. Mayer and Schwaiger Roland and Reinhold Huber 
“Lean Artificial Neural Networks Regularization Helps Evolution”, 2nd Nordic Workshop on Genetic Algorithms, August 19-23, 1996, Vaasa, Finland.

1995 | Roland Schwaiger 
„On the Number of Labeled, Non-Isolated, Bipartite Graphs”. Technical Report am Institut für Computerwissenschaften an der Universität Salzburg.

1995 | R. Huber, H. Mayer, R. Schwaiger
“netGEN – A Parallel System Generating Problem-Adapted Topologies of Artificial Neural Networks by Means of Genetic Algorithms”. Beiträge zum 7. Fachgruppentreffen Maschinelles Lernen der GI-Fachgruppe 1.1.3, Forschungsbericht Nr. 580, Dortmund 1995, 91-98.

1995 | Roland Schwaiger, Reinhold Huber, Helmut A. Mayer 
“Landcover Classification of Landsat Images Using Problem-Adapted Artificial Neural Networks“, International Workshop on Soft Computing in Remote Sensing Data Analysis, Milan, Italy, December, 1995.

1994 | Roland Schwaiger 
“Neural Network and Derivative Based Edge Detection”, Diplomarbeit für Mag.rer.nat am Institut für Mathematik an der Universität Salzburg.

1993 | Roland Schwaiger 
“Invariant Pattern Recognition by Means of Artificial Neural Networks”, Final Project for Master of Science (MSc) at Bowling Green State University.