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A genetic algorithm based framework for software effort prediction
(2017)
Background: Several prediction models have been proposed in the literature using different techniques obtaining different results in different contexts. The need for accurate effort predictions for projects is one of the ...
Real adaboost with gate controlled fusion
(Scopus, 2012)
In this brief, we propose to increase the capabilities of standard real AdaBoost (RAB) architectures by replacing their linear combinations with a fusion controlled by a gate with fixed kernels. Experimental results in a ...
Combining fishers' perceptions, landings and an independent survey to evaluate trends in a swimming crab data-poor artisanal fishery
(Elsevier, 2019-05-01)
The fishery for the swimming crab Ovalipes trimaculatus in the southwestern Atlantic started in 2007, with an average catch of 64.36 t⋅y −1 during the period between 2008 and 2013. The fishery is under an open access regime ...
An Empirical Validation of an Automated Genetic Software Effort Prediction Framework Using the ISBSG Dataset
(2016-04)
The complexity of providing accurate software
effort prediction models is well known in the software industry. Several
prediction models have been proposed in the literature using different
techniques, with different ...
An Empirical Validation of an Automated Genetic Software Effort Prediction Framework Using the ISBSG Dataset
(2016-04)
The complexity of providing accurate software
effort prediction models is well known in the software industry. Several
prediction models have been proposed in the literature using different
techniques, with different ...
Restrictions on the export of medical products hamper efforts to contain coronavirus disease (COVID-19) in Latin America and the Caribbean
(ECLAC, 2020-05-08)
Latin America and the Caribbean is highly dependent on imports of medical products, as less than 4% of these are sourced within the region itself. To date, more than 70 countries —including four of the region’s top five ...
Combining conservation priorities and vulnerability of invasion in nature reserves using geospatial tools can optimize management efforts
(Springer, 2020-10-28)
The management of invasive species in large, little-known, nature reserves is difficult. Weighing the risk of invasion against the conservation value of each sector in nature reserves would help design viable management ...
Improving the Fine-Tuning of Metaheuristics: An Approach Combining Design of Experiments and Racing Algorithms
(Hindawi Ltd, 2017-01-01)
Usually, metaheuristic algorithms are adapted to a large set of problems by applying few modifications on parameters for each specific case. However, this flexibility demands a huge effort to correctly tune such parameters. ...