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NCA
2007
IEEE
15 years 3 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 2 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 1 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...
CEC
2011
IEEE
14 years 4 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 6 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...