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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 ...
Artículo
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DirectDebug: A software package for the automated testing and debugging of feature models
(Elsevier, 2021)
Complex and large-scale feature models can become faulty, i.e., do not represent the expected variability properties of the underlying software artifact. In this paper, we propose the DirectDebug algorithm that supports ...
Ponencia
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Configuration assisted through conversational agents (chatbots and voicebots)
(Università degli Studi di Padova, 2020)
Artículo
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Data streams classification using deep learning under different speeds and drifts
(Oxford University Press, 2022)
Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. Although deep neural networks are the state-of-the-art for many machine learning tasks, ...
Ponencia
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Music at BNCC and the possibilities of applying Computational Thinking using Scratch
(Sociedade Brasileira de Computação, 2021-11)
Music is a very favorable field of knowledge for the development of creativity. With this in mind, this paper presents results of investigate the role of music in the school curriculum in the three stages of Brazilian ...
Artículo
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When business processes meet complex events in logistics: A systematic mapping study
(Elsevier, 2022)
Logistics processes are attracting growing attention because of the globalisation of the market. Its growing complexity and the need for reducing costs have provoked the seek of new solutions based on the processing of the ...
Artículo
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A systematic review of capability and maturity innovation assessment models: Opportunities and challenges
(Elsevier, 2023)
Public funding, being the primary source for innovation, imposes restrictions caused by a lack of trust between the roles of public funders and organisations in the innovation process. Capability and maturity innovation ...
Tesis Doctoral
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On Data Engineering and Knowledge Graphs: a Context-Aware Proposal for Web-Scale Knowledge Graph Completion
(2023-07-07)
Nowadays, Knowledge Graphs are a widely used means to store structured information for a variety of different domains and applications. However, due to the fact that they are usually constructed using automated ...
Ponencia
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Descubrimiento de procesos a partir de logs de eventos en el contexto de RPA: ¿En qué se basan las decisiones?
(Sociedad de Ingeniería de Software y Tecnologías de Desarrollo de Software (SISTEDES), 2021)
La Automatización Robótica de Procesos (RPA) ha ganado especial atención en los últimos años tanto en la industria como en la academia. RPA surge como una forma de automatizar tareas humanas mundanas y repetitivas. En ...
Artículo
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Flipping Laboratory Sessions in a Computer Science Course: An Experience Report
(IEEE Computer Society, 2020)
Contribution: This article presents an experience report on the application of flipped classroom (FC) to the laboratory sessions (henceforth lab sessions) of an undergraduate computer science course. Background: Hands-on ...