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How far you can get using machine learning black-boxes
(2010-12-01)
Supervised Learning (SL) is a machine learning research area which aims at developing techniques able to take advantage from labeled training samples to make decisions over unseen examples. Recently, a lot of tools have ...
Identification of structural damage in flexible structures using system norm and neural networks
(2006-12-01)
Nowadays there is great interest in damage identification using non destructive tests. Predictive maintenance is one of the most important techniques that are based on analysis of vibrations and it consists basically of ...
Stochastic optimization of GeantV code by use of genetic algorithms
(2017-11-23)
GeantV is a complex system based on the interaction of different modules needed for detector simulation, which include transport of particles in fields, physics models simulating their interactions with matter and a ...
Effects of the Temperature and Maturation Stages on the Germination of Roystonea regia Seeds
(Int Soc Horticultural Science, 2013-01-01)
Roystonea regia (Kunth) O.F. Cook is largely used as ornamental. The propagation is done almost exclusively by seeds; however, there is a great variation in the germination process influenced by many factors. The objective ...
BISTFaSC: an aproach to embed structural testing facilities into software components
(Universidade de BrasíliaSociedade Brasileira de ComputaçãoBrasília, 2013)
Component-based applications can be composed by in-house or COTS (Commercial off-the-shelf) components. In many situations, reused components should be tested before their integration into an operational environment. Testing ...
From explanations to feature selection: assessing SHAP values as feature selection mechanism
(Ieee, 2020-01-01)
Explainability has become one of the most discussed topics in machine learning research in recent years, and although a lot of methodologies that try to provide explanations to black-box models have been proposed to address ...
Modeling and simulation of tasks interactions using graphical interface
(Ieee, 2021-01-01)
Concurrent processes are very important to the development of modern applications, where several tasks are performed in order to accomplish a certain activity. Unfortunately, many concurrent applications, including hard ...
Modeling and simulation of tasks interactions using graphical interface
(2021-06-23)
Concurrent processes are very important to the development of modern applications, where several tasks are performed in order to accomplish a certain activity. Unfortunately, many concurrent applications, including hard ...
Semi-automatic CNN Architectural Pruning using the Bayesian Case Model and Dimensionality Reduction Visualization
(Scitepress, 2022-01-01)
Visualization techniques have been applied to reasoning about complex machine learning models. These visual approaches aim to enhance the understanding of black-box models' decisions or guide in hyperparameters configuration, ...