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GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods
A novel and comprehensive method for in silico benchmark generation and performance profiling of network inference methods available to the community as an open-source software called GNW, which provides a network motif analysis that reveals systematic prediction errors, thereby indicating potential ways of improving inference methods.
Revealing strengths and weaknesses of methods for gene network inference
- D. Marbach, R. Prill, T. Schaffter, C. Mattiussi, D. Floreano, G. Stolovitzky
- Computer ScienceProceedings of the National Academy of Sciences
- 22 March 2010
The results of this community-wide experiment show that reliable network inference from gene expression data remains an unsolved problem, and they indicate potential ways of network reconstruction improvements.
The e-puck, a Robot Designed for Education in Engineering
Mobile robots have the potential to become the ideal tool to teach a broad range of engineering disciplines. Indeed, mobile robots are getting increasingly complex and accessible. They embed elements…
Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods
A method for generating biologically plausible in silico networks, which allow realistic performance assessment of network inference algorithms, instead of using random graph models, which are known to only partly capture the structural properties of biological networks.
Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios
- A. Soltoggio, J. Bullinaria, C. Mattiussi, Peter Dürr, D. Floreano
- Biology, Computer ScienceALIFE
It is concluded that modulatory neurons evolve autonomously in the proposed learning tasks, allowing for increased learning and memory capabilities.
- D. Floreano, P. Husbands, S. Nolfi
- Computer Science, EngineeringLecture Notes in Computer Science
- 16 April 1998
Evolutionary robotics combines evolutionary computing with robotics [1, 2, 4, 7–10]. It is a field that ‘‘aims to apply evolutionary computation techniques to evolve the overall design or…
Neuroevolution: from architectures to learning
This paper gives an overview of the most prominent methods for evolving ANNs with a special focus on recent advances in the synthesis of learning architectures.
Evolution of homing navigation in a real mobile robot
The evolution of a discrete-time recurrent neural network to control a real mobile robot and it is shown that the autonomous development of a set of behaviors for locating a battery charger and periodically returning to it can be achieved by lifting constraints in the design of the robot/environment interactions.
Automatic creation of an autonomous agent: genetic evolution of a neural-network driven robot
The paper describes the results of the evolutionary development of a real, neural-network driven mobile robot, and shows a number of emergent phenomena that are characteristic of autonomous agents.
Coevolving Predator and Prey Robots: Do Arms Races Arise in Artificial Evolution?
It is shown that in some circumstances well-adapted individuals would be better advised to adopt simple but easily modifiable strategies suited for the current competitor strategies rather than incorporate complex and general strategies that may be effective against a wide range of opposing counter-strategies.