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Helmut Mayer 0003
Person information
- affiliation: University of Salzburg, Department of Computer Sciences, Austria
Other persons with the same name
- Helmut Mayer 0001
— Bundeswehr University Munich, Computer Science Department
- Helmut Mayer 0002 — TU Darmstadt, Department of Mechanical Engineering
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2020 – today
- 2024
- [i4]Yansel González Tejeda, Helmut A. Mayer:
Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint). CoRR abs/2408.12308 (2024) - 2022
- [c22]Yansel González Tejeda
Effect of Gender, Pose and Camera Distance on Human Body Dimensions Estimation. ICIAP Workshops 2022: 179-190 - [i3]Yansel González Tejeda, Helmut A. Mayer:
Effect of Gender, Pose and Camera Distance on Human Body Dimensions Estimation. CoRR abs/2205.12028 (2022) - 2021
- [c21]Yansel González Tejeda
A Neural Anthropometer Learning from Body Dimensions Computed on Human 3D Meshes. SSCI 2021: 1-8 - [i2]Yansel González Tejeda, Helmut A. Mayer:
A Neural Anthropometer Learning from Body Dimensions Computed on Human 3D Meshes. CoRR abs/2110.04064 (2021) - 2020
- [i1]Yansel González Tejeda
CALVIS: chest, waist and pelvis circumference from 3D human body meshes as ground truth for deep learning. CoRR abs/2003.00834 (2020)
2010 – 2019
- 2014
- [c20]Gernot Howanitz, Helmut Mayer:
LitSOM. Kartierung russischer Gegenwartsliteratur. DHd 2014 - 2013
- [c19]Christian Alt, Helmut A. Mayer:
Evolution of a digital organism playing Go. EAIS 2013: 130-137 - [c18]Tobias Berka, Helmut A. Mayer:
Evolving artificial neural networks for nonlinear feature construction. GECCO 2013: 1037-1044 - 2012
- [c17]Tobias Berka, Helmut A. Mayer:
Nonlinear Feature Construction with Evolved Neural Networks for Classification Problems. ICPRAM (1) 2012: 35-44 - 2011
- [c16]Helmut A. Mayer:
Evolution of robotic neurocontrollers with intrinsic noise and their behavior in noisy environments. IJCNN 2011: 1975-1980 - 2010
- [c15]Toni Palau, Simon Sigl, Andreas Kuhn, Helmut A. Mayer:
A generic approach for learning performance assessment functions. IJCNN 2010: 1-6
2000 – 2009
- 2007
- [c14]Helmut A. Mayer:
Board Representations for Neural Go Players Learning by Temporal Difference. CIG 2007: 183-188 - [c13]Richard Brunauer, Andreas Löcker, Helmut A. Mayer, Gerhard Mitterlechner, Hannes Payer:
Evolution of iterated prisoner's dilemma strategies with different history lengths in static and cultural environments. SAC 2007: 720-727 - 2006
- [c12]August Mayer, Helmut A. Mayer:
Multi-chromosomal representations in neuroevolution. Computational Intelligence 2006: 245-250 - 2005
- [c11]Helmut A. Mayer, Peter Maier:
Coevolution of neural Go players in a cultural environment. Congress on Evolutionary Computation 2005: 1017-1024 - [c10]Simon Sigl, Helmut A. Mayer:
Hybrid Evolutionary Approaches to CNC Drill Route Optimization. CIMCA/IAWTIC 2005: 905-910 - 2004
- [j2]Helmut A. Mayer:
Ontogenetic Teaching of Mobile Autonomous robots with Dynamic Neurocontrollers. Int. J. Comput. 3(1): 38-45 (2004) - [c9]Oskar Preinfalk, Helmut A. Mayer:
Automatic construction of drama school timetables based on a generic evolutionary framework for allocation and scheduling problems. SAC 2004: 996-1000 - [c8]Helmut A. Mayer:
A modular neurocontroller for creative mobile autonomous robots learning by temporal difference. SMC (6) 2004: 5742-5747 - 2003
- [c7]Helmut A. Mayer, M. Spitzlinger:
Multi-chromosomal representations and chromosome shuffling in evolutionary algorithms. IEEE Congress on Evolutionary Computation 2003: 1145-1149 - [c6]Helmut A. Mayer, Gerald Wiesbauer:
Dynamic regulation of Hebb learning by artificial neuromodulators in mobile autonomous robots. SMC 2003: 2107-2112 - 2001
- [c5]Helmut A. Mayer, Roland Schwaiger:
Evolution of Cubic Spline Activation Functions for Artificial Neural Networks. EPIA 2001: 63-73 - 2000
- [c4]Helmut A. Mayer, Petr Somol, Reinhold Huber, Pavel Pudil:
Improving Statistical Measures of Feature Subsets by Conventional and Evolutionary Approaches. SSPR/SPR 2000: 77-86
1990 – 1999
- 1999
- [c3]Helmut A. Mayer, Roland Schwaiger:
Evolutionary and coevolutionary approaches to time series prediction using generalized multi-layer perceptrons. CEC 1999: 275-280 - 1998
- [j1]Helmut A. Mayer:
ptGAs - Genetic Algorithms Evolving Noncoding Segments by Means of Promoter/Terminator Sequences. Evol. Comput. 6(4): 361-386 (1998) - [c2]Reinhold Huber, Helmut A. Mayer:
ERC - evolutionary resample and combine for adaptive parallel training data set selection. ICPR 1998: 882-885 - [c1]Helmut A. Mayer:
Symbiotic Coevolution of Artificial Neural Networks and Training Data Sets. PPSN 1998: 511-520
Coauthor Index
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last updated on 2024-09-30 01:01 CEST by the dblp team
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