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Mostrando ítems 231-240 de 256
Graph-Based Feature Selection Approach for Molecular Activity Prediction
(American Chemical Society, 2022)
In the construction of QSAR models for the prediction of molecular
activity, feature selection is a common task aimed at improving the results and
understanding of the problem. The selection of features allows elimination ...
Effective Feature Selection Method for Class-Imbalance Datasets Applied to Chemical Toxicity Prediction
(American Chemical Society, 2021)
During the drug development process, it is common to carry out toxicity tests and adverse effect studies, which are essential to guarantee patient safety and the success of the research. The use of in silico quantitative ...
Cooperative coevolutionary instance selection for multilabel problems
(Elsevier, 2021)
Multilabel classification as a data mining task has recently attracted greater research interest. Many
current data mining applications address problems having instances that belong to more than one
class, which requires ...
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm
(IOS Press, 2014)
The extraction of useful information for decision making is a challenge in many different domains. Association rule mining is one of the most important techniques in this field, discovering relationships of interest among ...
Democratization of advanced models for data science
(Universidad de Córdoba, UCOPress, 2024)
En las últimas décadas, la mayoría de las empresas y organizaciones han generado y almacenado enormes cantidades de datos procedentes de diversas fuentes como transacciones financieras, interacciones con clientes, registros ...
Aplicación de flujos de trabajo científicos en dominios con procesamiento intensivo de datos
(Universidad de Córdoba, UCOPress, 2024)
En la actualidad estamos inmersos en un entorno de continua generación de datos provenientes de diversas fuentes, como dispositivos IoT, redes sociales, transacciones comerciales y más. Esta explosión de datos ha dado lugar ...
Recomputing Causality Assignments on Lumped Process Models When Adding New Simplification Assumptions
(MDPI, 2018)
This paper presents a new algorithm for the resolution of over-constrained lumped process
systems, where partial differential equations of a continuous time and space model of the system
are reduced into ordinary ...
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity
(Elsevier, 2024)
The process of extracting valuable and novel insights from raw data involves a series of complex steps. In the realm of Automated Machine Learning (AutoML), a significant research focus is on automating aspects of this ...
GEML: A grammar-based evolutionary machine learning approach for design-pattern detection
(Elsevier, 2021)
Design patterns (DPs) are recognised as a good practice in software development. However, the lack of appropriate documentation often hampers traceability, and their benefits are blurred among thousands of lines of code. ...
Interactive multi-objective evolutionary optimization of software architectures
(Elsevier, 2018)
While working on a software specification, designers usually need to evaluate different architectural alternatives to be sure that quality criteria are met. Even when these quality aspects could be expressed in terms of ...