Journal Papers
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Tomasz Wielek, Julia Lechinger, Malgorzata Wislowska, Christine Blume, Peter Ott, Stefan Wegenkittl, Renata del Giudice, Dominik P. J. Heib, H. A. Mayer, Steven Laureys, Gerald Pichler, Manuel Schabus (2018)
Sleep in patients with disorders of consciousness characterized by means of machine learning
PLOS ONE.
DOI
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H. A. Mayer (2004)
Ontogenetic Teaching of Mobile
Autonomous Robots with Dynamic Neurocontrollers
International Scientific Journal of Computing 3(1): 38-45.
170 KB PDF(Draft
version)
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H. A. Mayer (1998)
ptGAs -
Genetic Algorithms Evolving Noncoding Segments by Means of
Promoter/Terminator Sequences
Evolutionary Computation 6(4): 361-386.
454 KB
gzip'd
PostScript
Published by MIT
Press
Includes copyright material by permission of Oxford University Press
Conference Papers
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Chritian Alt, H. A. Mayer (2013)
Evolution of a Digital Organism Playing Go
2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), pp. 130-137, Singapore, 2013.
319 KiB PDF
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Tobias Berka, H. A. Mayer (2013)
Evolving Artificial Neural Networks for Nonlinear Feature Construction
Proceedings of the 2013 Genetic and Evolutionary Computation Conference (GECCO 2013), pp. 1037-1044 Amsterdam, The Netherlands, 2013.
xy KiB PDF
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Tobias Berka, H. A. Mayer (2012)
Nonlinear Feature Construction with Evolved Neural Networks for Classification Problems
Proceedings of the First International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012), Vilamoura, Portugal, 2012.
xy KiB PDF
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H. A. Mayer (2011)
Evolution of Robotic Neurocontrollers with Intrinsic Noise and their Behavior in Noisy Environments
Proceedings of the 2011 International Joint Conference on Neural Networks (IJCNN 2011), pp. 1975-1980,
San Jose, California, 2011.
107 KiB PDF
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Toni Palau, Simon Sigl, Andreas Kuhn, H. A. Mayer (2010)
A Generic Approach for
Learning Performance Assessment Functions
Proceedings of the 2010 IEEE World Congress on Computational
Intelligence, International Joint Conference on Neural Networks, pp. x-y,
Barcelona, Spain, 2010.
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H. A. Mayer (2007)
Board
Representations for Neural Go Players Learning by Temporal
Difference
Proceedings of the IEEE Symposium on Computational Intelligence and Games (CIG 2007), Honolulu, Hawaii, 2007.
88 KB PDF
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Richard Brunauer, Andreas Löcker, H. A. Mayer, Gerhard Mitterlechner, Hannes Payer (2007)
Evolution of Iterated Prisoner's Dilemma Strategies with Different History Lengths in Static and Cultural Environments
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC 2007), Seoul, Korea, 2007.
1.27 MB PDF
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August Mayer, H. A. Mayer (2006)
Multi-Chromosomal Representations in Neuroevolution
Proceedings of the Second IASTED International Conference on Computational Intelligence, San Francisco, California, 2006.
160 KB PDF
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Simon Sigl, H. A. Mayer (2005)
Hybrid Evolutionary Approaches to CNC Drill Route Optimization
Proceedings of International Conference on Computational Intelligence for Modeling, Control and Automation (CIMCA 2005), pp. 905-910, Vienna, Austria, 2005.
125 KB PDF
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H. A. Mayer, Peter Maier (2005)
Coevolution of Neural Go Players in a Cultural Environment
Proceedings of the Congress on Evolutionary Computation 2005, Edinburgh, Scotland, 2005.
487 KB PDF
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H. A. Mayer (2004)
A Modular
Neurocontroller for Creative Mobile Autonomous Robots
Learning by Temporal Difference
IEEE International Conference on Systems, Man, and
Cybernetics (SMC 2004), pp. 5747-5742, The Hague,
Netherlands, 2004.
132 KB PDF
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O.
Preinfalk, H. A.
Mayer (2004)
Automatic
Construction of Drama School Timetables Based on a Generic
Evolutionary Framework for Allocation and Scheduling
Problems
Proceedings of the 2004 ACM Symposium on Applied
Computing (SAC 2004), pp. 996-1000, Nicosia, Cyprus,
2004.
1 MB PDF (Draft
Version)
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H. A.
Mayer, M. Spitzlinger
(2003)
Multi-Chromosomal
Representations and Chromosome Shuffling in Evolutionary
Algorithms
Electronic Proceedings of the 2003 Congress on Evolutionary
Computation, pp. 1145-1149, Canberra, Australia, 2003.
143 KB PDF
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H. A.
Mayer, G. Wiesbauer (2003)
Dynamic
Regulation of Hebb Learning by Artificial Neuromodulators in
Mobile Autonomous Robots
IEEE International Conference on Systems, Man, and
Cybernetics (SMC 2003), pp. 2107-2112, Washington, D. C.,
2003.
199 KB
PDF
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M.
Spitzlinger, H. A.
Mayer (2003)
Evolution
of Fuzzy Controllers with Multi-Chromosomal Representation of
Membership Functions
Proceedings of the 10th International Fuzzy Systems Association
World Congress (IFSA 2003), pp. 417-420, Istanbul, Turkey,
2003.
83 KB PDF
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H. A. Mayer, R. Schwaiger
(2002)
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.
207 KB gzip'd
PostScript
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H. A. Mayer (2001)
Biologically Inspired Data Compression Induced by Reading
Frames on Artificial ptGA Chromosomes
Proceedings of the 2001 Genetic and Evolutionary Computation
Conference (GECCO-2001) Late-Breaking Papers, pp. 280-286,
San Francisco, California, 2001.
113 KB gzip'd
PostScript
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H. A. Mayer, P. Somol, R.
Huber, P. Pudil (2000)
Improving Statistical Measures of Feature Subsets by Conventional and Evolutionary Approaches
Proceedings of the Joint IAPR International Workshops SSPR 2000 and SPR 2000, Springer LNCS 1876, pp. 77-86, Alicante, Spain, 2000.
127 KB gzip'd PostScript
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H. A. Mayer, P. Somol
(2000)
Conventional
and Evolutionary Feature Selection of SAR Data Using a Filter
Approach
Electronic Proceedings of the 4th World Multiconference on
Systemics, Cybernetics, and Informatics (SCI 2000), Orlando,
Florida, 2000.
134 KB gzip'd
PostScript
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H. A. Mayer, Karl Fürlinger, Marc Strapetz (1999)
Extraction of
Compact Rule Sets from Evolutionary Designed Artificial Neural
Networks
Electronic Proceedings of the 1999
IEEE International Conference on Systems, Man, and
Cybernetics, pp. I - 420-424, Tokyo, Japan, 1999.
115 KB gzip'd
PostScript
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H. A. Mayer, R. Schwaiger (1999)
Evolutionary and
Coevolutionary Approaches to Time Series Prediction Using Generalized
Multi-Layer Perceptrons
Proceedings of the 1999 Congress on Evolutionary Computation,
pp. 275-280, Washington DC, 1999.
112 KB gzip'd
PostScript
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H. A. Mayer (1998)
Symbiotic
Coevolution of Artificial Neural Networks and Training Data
Sets
Proceedings of the Fifth International Conference on Parallel
Problem Solving from Nature, pp. 511-520, Amsterdam, The
Netherlands, 1998.
156 KB gzip'd
PostScript
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R. Huber, H. A. Mayer (1998)
ERC -
Evolutionary Resample and Combine for Adaptive Parallel Training Data
Set Selection
14th International Conference on Pattern Recognition, Brisbane,
Australia,
1998.
448 KB gzip'd
PostScript
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H. A. Mayer, R. Schwaiger (1997)
Towards the
Evolution of Training Data Sets for Artificial Neural
Networks
Proceedings of the 4th IEEE International Conference on
Evolutionary Computation, pp. 663-666, Indianapolis, Indiana,
1997.
105 KB gzip'd
PostScript
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R. Huber, R. Schwaiger,
H. A. Mayer (1996)
On the Role of
Regularization Parameters in Fitness Functions for Evolutionary Designed
Artificial Neural Networks
World Congress on Neural Networks, pp. 1063-1066, San Diego,
California, 1996.
87 KB gzip'd
PostScript
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R. Schwaiger, R. Huber, H. A. Mayer (1995)
Land Cover Classification of Landsat Images Using Problem-Adapted Artificial Neural Networks.
Proceedings of the International Workshop on Soft Computing in Remote Sensing Data Analysis, Milan, Italy, 1995.
Series in Remote Sensing, Vol. 1, pp. 33-41, ISBN 9810227574
210 KB gzip'd PostScript
Other Papers
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Yansel Gonzalez-Tejeda, H. A. Mayer (2019)
CALVIS: Chest, Waist and Pelvis Circumference from 3D Human Body Meshes as Ground Truth for Deep Learning
Proceedings of the VIII International Workshop on Representation, analysis and recognition of shape and motion FroM Imaging data (RFMI 2019), Sidi Bou Said, Tunisia, 2019.
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H. A. Mayer (2014)
Evolution - der Schlüssel zu intelligenten Computern?
Blickpunkt:Intelligenz (Eva Maria Herzog, Hans-Christian Bauer, Karl Peter Überriegler (Hrsg.)) pp. 12-26, Books on Demand, 2014.
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Bernd Minnich, Alois Lametschwandtner, Edward W. N. Bernroider, H. A. Mayer (2009)
New 3D Quantification Software (M3) Enables to Examine Blood Vessels Inspected in the SEM/ESEM and also Allows to Render Threedimensional Models of (Micro-)Vascular Trees
Proceedings of MC 2009, pp. 2:453-454, Graz, Austria, 2009.
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Bernd Minnich, Alois Lametschwandtner, Edward W. N. Bernroider, H. A. Mayer (2009)
M3 a new software to quantify blood vessels in three dimensions examined in the SEM/ESEM which also allows to render 3D models of vascular trees
Proceedings Microscopy and Microanalysis 2009, pp. 932-933, Richmond, Virginia, 2009.
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Bernd Minnich, Alois Lametschwandtner, Edward W. N. Bernroider, H. A. Mayer (2008)
Enhanced method to quantify blood vessels in three dimensions which were examined
in the SEM/ESEM and to picture 3D images and 3D rendering models of vascular trees
Proceedings of the XX. International Symposium on Morphological
Sciences, P170, Timisoara, Romania, 2008.
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Gerhard Mitterlechner, H. A. Mayer, Gert Furtmüller (2007)
Automatic Classification of Geology Using TBM
Data (German)
ÖGG-Fachseminar: Computerorientierte Methoden in der Geomechanik, Salzburg, Austria, 2007.
158 KB PDF
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H. A. Mayer, Peter Maier (2005)
Evolution of Neural Go Players
ÖGAI Journal, Österreichische Gesellschaft für Artificial Intelligence, 24(2):8-16, 2005.
235 KB PDF
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H. A. Mayer (2005)
A Taxonomy of the Evolution of Artificial Neural Systems
Scientific Computing in Salzburg, Festschrift on the Occasion of Peter Zinterhof's 60th Birthday, Austrian Computer Society, pp. 121-135, 2005.
218 KB PDF
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H. A. Mayer (2003)
Ontogenetic
Teaching of Mobile Autonomous Robots with Dynamic
Neurocontrollers
Key-note Paper Proceedings of the Third International
Conference on Neural Networks and Artificial Intelligence
(ICNNAI'03), pp. x-y, Minsk, Belarus, 2003.
170 KB PDF
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H. A. Mayer,
R. Schwaiger
(2001)
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
326 KB gzip'd
PostScript
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H. A. Mayer, J.
Schmidbauer, G. Stieglbauer (2001)
EMMA -
Architecture and Subsystems of a Mobile Autonomous Robot
with a Preference for Soccer
Advances in Signal Processing, Robotics and Communications
(RODLICS 2001), WSES Press, pp. 310-316, Quawra,
Malta, 2001.
120 KB gzip'd
PostScript
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H. A. Mayer, M. Strapetz,
R. Fuchs (2001)
Simultaneous
Evolution of Structure and Activation Function Types
in Generalized Multi-Layer Perceptrons
Proceedings of the 2001 WSES International Conference on Neural
Networks and Application, Puerto de La Cruz, Spain, 2001.
Artificial Intelligence Series, pp. 349-354, WSES Press
116 KB gzip'd
PostScript
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H. A. Mayer, R. Huber (1998)
Evolutionary Training Data Sets with n-dimensional Encoding for Neural InSAR Classifiers
International Conference on Imaging Science, Systems, and Technology, Las Vegas, Nevada, 1998.
506 KB gzip'd PostScript
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R. Schwaiger, H. A. Mayer (1997)
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, 1997.
97 KB gzip'd
PostScript
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H. A. Mayer, R. Huber, R. Schwaiger (1996)
Lean Artificial
Neural Networks - Regularization Helps Evolution
Proceedings of the 2nd Nordic Workshop on Genetic Algorithms
and their Applications, pp. 163-172, Vaasa, Finland, 1996.
113 KB gzip'd
PostScript
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R. Schwaiger, H. A. Mayer, R. Huber (1996)
Evolution of Low
Complexity Artificial Neural Networks for Land Cover Classification
from Remote Sensing Data
Seggau: Pattern Recognition 1996, Axel Pinz (Ed.), Schriftenreihe
der Österr. Computer Gesellschaft
Band 90, pp. 75-86, Oldenbourg Wien München, 96, ISBN
3-486-23865-5
265 KB gzip'd
PostScript
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H. A. Mayer, R. Schwaiger, R. Huber (1996)
Evolving Topologies of Artificial Neural Networks Adapted to Image Processing Tasks
Proceedings of the 26th International Symposium on Remote Sensing of Environment, pp. 71-74,
Vancouver, BC, Canada, March 25-29, 1996.
86 KB gzip'd PostScript
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R. Huber, H. A. Mayer, R. Schwaiger (1995)
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, p91-98, Dortmund
1995.
123 KB gzip'd
PostScript
Technical Reports
Helmut A.
Mayer
helmut@cosy.sbg.ac.at
Last modified: May 5 2020