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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 ...
Effects of hypopressiveexercises on post-partum abdominal diastasis, trunk circumference and mechanical properties of abdominopelvic tissues: a case series
(Taylor & Francis, 2023)
Background: Abdominal diastasis (AD) is highly prevalent at post-partum. Although several conservative approaches have been proposed, an effective and protocolized treatment is lacking for this condition.
Objective: To ...
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 ...