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NCA
2007
IEEE
15 years 7 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
CONEXT
2010
ACM
15 years 5 months ago
The Internet is flat: modeling the transition from a transit hierarchy to a peering mesh
Recent measurements and anecdotal evidence indicate that the Internet ecosystem is rapidly evolving from a multi-tier hierarchy built mostly with transit (customer-provider) links...
Amogh Dhamdhere, Constantine Dovrolis
RECOMB
2010
Springer
15 years 5 months ago
An Efficient Algorithm for Gene/Species Trees Parsimonious Reconciliation with Losses, Duplications and Transfers
(Motivation) Tree reconciliation is an approach that explains the discrepancies between two evolutionary trees by a number of events such as speciations, duplications, transfers an...
Jean-Philippe Doyon, Celine Scornavacca, K. Yu. Go...
235
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CEC
2011
IEEE
14 years 7 months ago
Accelerating convergence towards the optimal pareto front
—Evolutionary algorithms have been very popular optimization methods for a wide variety of applications. However, in spite of their advantages, their computational cost is still ...
Mohsen Davarynejad, Jafar Rezaei, Jos L. M. Vranck...
CVPR
2012
IEEE
13 years 10 months ago
Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences
In this paper we address multi-view reconstruction of urban environments using 3D shape grammars. Our formulation expresses the solution to the problem as a shape grammar parse tr...
Loïc Simon, Olivier Teboul, Panagiotis Koutso...