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Study of biosorption of rare earth metals (La, Nd, Eu, Gd) by Sargassum sp. biomass in batch systems: Physicochemical evaluation of kinetics and adsorption models
(2009-12-28)
This work evaluated kinetic and adsorption physicochemical models for the biosorption process of lanthanum, neodymium, europium, and gadolinium by Sargassum sp. in batch systems. The results showed: (a) the pseudo-second ...
Using otsu's threshold selection method for eliminating terms in vector space model computation
(2013-12-01)
Visualization techniques have proved to be valuable tools to support textual data exploration. Dimensionality reduction techniques have been widely used to produce visual representation of document collections. Focusing ...
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 ...
Feature Selection for Privileged Modalities in Disease Classification
(2021-01-01)
Multimodal data allows supervised learning while considering multiple complementary views of a problem, improving final diagnostic performance of trained models. Data modalities that are missing or difficult to obtain in ...
Control and protection of active distribution systems using a new multiobjective mathematical model
(2017-12-01)
This paper presents a methodology based on a multiobjective mathematical model to optimally allocate and coordinate protective devices and switches in electric power distribution systems with distributed generation (DG). ...
Feature Selection Using Geometric Semantic Genetic Programming
(Assoc Computing Machinery, 2017-01-01)
Feature selection concerns the task of finding the subset of features that are most relevant to some specific problem in the context of machine learning. During the last years, the problem of feature selection has been ...
Model selection for semi-supervised clustering
(Athens, 2014-03)
Although there is a large and growing literature that tackles the semi-supervised clustering problem (i.e., using some labeled objects or cluster-guiding constraints like \must-link" or \cannot-link"), the evaluation of ...
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 ...
Artificial Immune Systems with Negative Selection Applied to Health Monitoring of Aeronautical Structures
(Trans Tech Publications Ltd, 2014-01-01)
In this paper we present a system for aircraft structural health monitoring based on artificial immune systems with negative selection. Inspired by a biological process, the principle of discrimination proper/non-proper, ...