Matthias Meyer

Publications84
h-index15
Citations827
Highly Influential Citations43
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Individual A High-Coverage Genome Sequence from an Archaic Denisovan
clicking here. colleagues, clients, or customers by , you can order high-quality copies for your If you wish to distribute this article to others here. following the guidelines can be obtained by… Expand
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The Development of Social Simulation as Reflected in the First Ten Years of JASSS: a Citation and Co-Citation Analysis
TLDR
The Journal for Artificial Societies and Social Simulation (JASSS) completing its tenth year provides a good opportunity to take stock of what happened over this time period. Expand
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Opening the ‘black box’ of simulations: increased transparency and effective communication through the systematic design of experiments
TLDR
We develop a systematic procedure to guide the analysis of simulation models as well as concrete templates for sharing the results. Expand
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Recent development of social simulation as reflected in JASSS between 2008 and 2014 : a citation and co-citation analysis
The research field of social simulation comprises many topics and research directions. A previous study about the early years indicated that the community has evolved into a differentiated… Expand
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Comparing Prediction Market Mechanisms Using An Experiment-Based Multi-Agent Simulation
TLDR
This paper focuses on the most commonly used market mechanisms for prediction markets, the continuous double auction and logarithmic market scoring rule. Expand
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A true hardware read barrier
TLDR
We introduce a novel hardware read barrier design for an object-based RISC architecture. Expand
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Measuring CMOT’s intellectual structure and its development
TLDR
The recent inclusion of Computational and Mathematical Organization Theory into the Social Science Citation Index offers a good reason to take stock of what has happened since the foundation of the journal. Expand
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Pattern-based Reengineering of Software Systems
  • Matthias Meyer
  • Computer Science
  • 13th Working Conference on Reverse Engineering
  • 23 October 2006
TLDR
The described approach supports the detection of anti pattern implementations in source code. Expand
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Unsupervised Feature Learning for Audio Analysis
TLDR
A novel audio frame predictor based on a Convolutional LSTM autoencoder is demonstrated, which is used for unsupervised feature extraction. Expand
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Efficient Convolutional Neural Network For Audio Event Detection
TLDR
This paper addresses these aspects by applying structural optimizations to a convolutional neural network for audio event detection to reduce the memory requirement by a factor of more than 500 and the computational effort by a Factor of 2.1 while performing 9.2% better. Expand
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