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GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
15 years 3 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
GECCO
2006
Springer
172views Optimization» more  GECCO 2006»
15 years 1 months ago
Multi-objective optimisation of the protein-ligand docking problem in drug discovery
The pharmaceutical industry is facing an ever-increasing demand to discover novel drugs that are more effective and safer than existing ones. The industry faces huge problem in im...
A. Oduguwa, A. Tiwari, S. Fiorentino, R. Roy
ALGORITHMICA
2006
163views more  ALGORITHMICA 2006»
14 years 9 months ago
Building Large Phylogenetic Trees on Coarse-Grained Parallel Machines
Phylogenetic analysis is an area of computational biology concerned with the reconstruction of evolutionary relationships between organisms, genes, and gene families. Maximum likel...
Thomas M. Keane, Andrew J. Page, Thomas J. Naughto...
BMCBI
2010
156views more  BMCBI 2010»
14 years 9 months ago
Adaptive coarse-grained Monte Carlo simulation of reaction and diffusion dynamics in heterogeneous plasma membranes
Background: An adaptive coarse-grained (kinetic) Monte Carlo (ACGMC) simulation framework is applied to reaction and diffusion dynamics in inhomogeneous domains. The presented mod...
Stuart Collins, Michail Stamatakis, Dionisios G. V...
CVPR
2006
IEEE
15 years 11 months ago
Inferring Facial Action Units with Causal Relations
A system that could automatically analyze the facial actions in real time have applications in a number of different fields. However, developing such a system is always a challeng...
Yan Tong, Wenhui Liao, Qiang Ji