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Explaining Learned Patterns in Deep Learning by Association Rules Mining
(SpringerLink, 2023-08)
This paper proposes a novel approach that combines an association rule algorithm with a deep learning model to enhance the interpretability of prediction outcomes. The study aims to gain insights into the patterns that ...
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Configuration assisted through conversational agents (chatbots and voicebots)
(Università degli Studi di Padova, 2020)
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Automated Merging of Feature Models using Graph Transformations
(2007)
Feature Models (FMs) are a key artifact for variability and commonality management in Software Product Lines (SPLs). In this context, the merging of FMs is being recognized as an important operation to support the adoption ...
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Search-Based Model Transformations with MOMoT
(Springer, 2016)
Many scenarios require flexible model transformations as their execution should of course produce models with the best possible quality. At the same time, transformation problems often span a very large search space ...
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Apoyo a la Toma de Decisiones en la Compra de IaaS
(Asociación de Ingeniería del Software y Tecnologías de Desarrollo de Software (SISTEDES), 2014)
La dificultad para decidir la compra de un IaaS (Infrastructure as a Service) depende de la complejidad de las opciones de compra dadas por su proveedor y de la complejidad del plan del cliente que quiere realizarla. ...
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Distributed Model-Based Diagnosis using Object-Relational Constraint Databases
(IEEE Computer Society, 2006)
This work presents a proposal to diagnose distributed systems utilizing model-based diagnosis using distributed databases. In order to improve aspects as versatility, persistence, easy composition and efficiency in the ...
Ponencia
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A Review of Earley-Based Parser for TIG
(Springer, 1998)
Tree Insertion Grammar (TIG) is a compromise between Context-Free Grammars (CFG) and Tree Adjoining Grammars (TAG), that combines the efficiency of the former with the strong lexicalizing power of the latter. In this ...
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STATService: Herramienta de análisis estadístico como soporte para la investigación con Metaheurísticas
(2012)
Actualmente, la aplicación de técnicas estadísticas es una necesidad cuando se trabaja con metaheurísticas. A pesar de que existen multitud de paquetes software para el cálculo estadístico, estos sistemas exigen en la ...
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Accessibility Variability Model: The UTPL MOOC Case Study
(Association for Computing Machinery (ACM), 2019)
Several approaches to define Variability Models (VM) of non-functional requirements or quality attributes have been proposed. However, these approaches have focused on specific quality attributes rather than more general ...