Ponències/Comunicacions de congressos
Enviaments recents
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Adaptive task-oriented chatbots using feature-based knowledge bases
(Springer, 2023)
Comunicació de congrés
Accés restringit per política de l'editorialTask-oriented chatbots relying on a knowledge base for domain-specific content exploitation have been largely addressed in research and industry applications. Despite this, multiple challenges remain to be fully conquered, ... -
Comparision of models built using AutoML and data fusion
(Springer, 2022)
Text en actes de congrés
Accés obertAutomated machine learning (AutoML) has made life easier for data analysts or scientists by providing quick insights into data by building machine learning (ML) models. AutoML techniques are applied to vast areas from image ... -
Towards green AI-based software systems: an architecture-centric approach (GAISSA)
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertNowadays, AI-based systems have achieved out-standing results and have outperformed humans in different domains. However, the processes of training AI models and inferring from them require high computational resources, ... -
Metrics for code smells of ML pipelines
(Springer, 2023)
Comunicació de congrés
Accés restringit per política de l'editorialML pipelines, as key components of ML systems, shall be developed following quality assurance techniques. Unfortunately, it is often the case in which they present maintainability issues, due to the experimentatal nature ... -
Insights from using goal models for teaching data structures
(CEUR-WS.org, 2023)
Text en actes de congrés
Accés obertPrevious research has shown the feasibility of using goal models as a notation to describe data structures. Such results motivated further empirical research to elucidate the extent to which teaching data structures using ... -
Learning analytics’ privacy in the fog and edge computing: a systematic mapping review
(Springer Nature, 2022)
Comunicació de congrés
Accés restringit per política de l'editorialThe educational context that integrates Learning Analytics processes presents a high fragility in the data processing. In addition, using analytical technologies in cloud computing adds new drawbacks that increase such ... -
The maker movement in engineering education: A partial literature review of the research opportunities on competency development
(Springer Nature, 2022)
Text en actes de congrés
Accés restringit per política de l'editorialThis paper presents a partial review of the literature related to the maker movement, its inclusion in engineering education and the way in which this insertion contributes on the development of skills. Initially, it is ... -
Roleplay ethical debates, an activity to learn to apply ethical theories to dilemmas and improve critical thinking
(Springer Nature, 2022)
Text en actes de congrés
Accés restringit per política de l'editorialThe teaching of ethics in engineering curriculums is gaining impor- tance and relevance, especially in disciplines related to computer science, software engineering, data science and artificial intelligence. This paper ... -
Exploring the carbon footprint of Hugging Face's ML models: a repository mining study
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertBackground: The rise of machine learning (ML) systems has exacerbated their carbon footprint due to increased capabilities and model sizes. However, there is scarce knowledge on how the carbon footprint of ML models is ... -
Towards a modern quality framework
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertQuality frameworks have been used in requirements engineering (RE) for a long time to help elicit and document quality requirements. However, existing quality frameworks have major issues that hamper their applicability, ... -
Mobile feature-oriented knowledge base generation using knowledge graphs
(Springer, 2023)
Comunicació de congrés
Accés restringit per política de l'editorialKnowledge bases are centralized repositories used for developing knowledge-oriented information systems. They are essential for adaptive, specialized knowledge in dialogue systems, supporting up-to-date domain-specific ... -
Usos y desusos del modelo GPT-3 entre estudiantes de grados de ingeniería
(Universidad de Granada, 2023)
Comunicació de congrés
Accés obertLa herramienta ChatGPT, basada en el modelo GPT-3 desarrollado por OpenAI, ya se utiliza por estudiantes de grados de ingeniería como herramienta de apoyo en su proceso de aprendizaje. En este contexto, las implicaciones ...