Departament d'Enginyeria de Serveis i Sistemes d'Informació: Enviaments recents
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Generative artificial intelligence in education: from deceptive to disruptive
(2024-03)
Article
Accés obertGenerative Artificial Intelligence (GenAI) has emerged as a promising technology that can create original content, such as text, images, and sound. The use of GenAI in educational settings is becoming increasingly popular ... -
Case studies about moral dilemas to apply ethical theories in engineering education
(Institute of Electrical and Electronics Engineers (IEEE), 2024-02-22)
Article
Accés obertThe significance of incorporating ethics education in engineering programs has grown considerably in recent times, especially within domains such as computer science, software engineering, data science, and artificial ... -
Do DL models and training environments have an impact on energy consumption?
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertCurrent research in the computer vision field mainly focuses on improving Deep Learning (DL) correctness and inference time performance. However, there is still little work on the huge carbon footprint that has training ... -
iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope
(Frontiers Media SA, 2023-11-24)
Article
Accés obertMalaria is one of the most prevalent infectious diseases in sub-Saharan Africa, with 247 million cases reported worldwide in 2021 according to the World Health Organization. Optical microscopy remains the gold standard ... -
Measuring motivation from the Virtual Learning Environment in secondary education
(Elsevier, 2019-09-01)
Article
Accés restringit per política de l'editorialThe increase of student’s disengagement is a problem in many developed countries’ educational systems. This paper presents our approach on how the usage of VLEs (Virtual Learning Environments) can be traced and used to ... -
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 ... -
Which design decisions in AI-enabled mobile applications contribute to greener AI?
(Springer Nature, 2024)
Article
Accés restringit per política de l'editorialBackground: The usage of complex artificial intelligence (AI) models demands expensive computational resources. While currently, available high-performance computing environments can support such complexity, the deployment ... -
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 ...