Listar por autor "Salguero-Hidalgo, Alberto Gabriel"
Mostrando ítems 1-8 de 8
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Efficient Activity Recognition in Smart Homes Using Delayed Fuzzy Temporal Windows on Binary Sensors.
Rebeen, Hamad; Salguero-Hidalgo, Alberto Gabriel
; Bouguelia, Mohamed-Rafik; Espinilla-Estévez, Macarena; Medina-Quero, Javier (IEEE, 2019)
Human activity recognition has become an active research field over the past few years due to its wide application in various fields such as health-care, smart home monitoring, and surveillance. Existing approaches for ... -
Improving the fitness function of an evolutionary suspense generator through sentiment analysis
De la Torre-Moreno, Pablo; León, Carlos; Salguero-Hidalgo, Alberto Gabriel (IEEE, 2021-03-08)
The perception of suspense in stories is affected not only by general literary aspects like narrative structure and linguistic features, but also by anticipation and evocation of feelings like aversion, disgust or empathy. ... -
Information management in interactive and non-interactive suspenseful storytelling
De la Torre-Moreno, Pablo; León, Carlos; Salguero-Hidalgo, Alberto Gabriel; Palomo-Duarte, Manuel; Gervás, Pablo (Taylor and Francis, 2019-02-01)
Suspense is one key feature in modern storytelling. One of the mechanisms to deliver a suspenseful experience to an audience is by means of controlling the information provided. The media, however, has a very strong impact ... -
Methodology for improving classification accuracy using ontologies: application in the recognition of activities of daily living
Salguero-Hidalgo, Alberto Gabriel; Medina-Quero, Javier; De la Torre-Moreno, Pablo; Espinilla-Estévez, Macarena (Springer-Verlag GmbH Germany, 2019-06-01)
Feature construction and selection are two key factors in the field of machine learning (ML). Usually, these are very time-consuming and complex tasks because the features have to be manually crafted. The features are ... -
Ontology-Based Framework for the Automatic Recognition of Activities of Daily Living Using Class Expression Learning Techniques
Salguero-Hidalgo, Alberto Gabriel; De la Torre-Moreno, Pablo; Medina-Quero, Javier; Espinilla-Estévez, Macarena; Tomeu, Antonio (John Wiley & Sons Ltd, 2019-04-01)
The miniaturization and price reduction of sensors have encouraged the proliferation of smart environments, in which multitudinous sensors detect and describe the activities carried out by inhabitants. In this context, the ... -
Optimizing player and viewer amusement in suspense video games
De la Torre-Moreno, Pablo; León, Carlos; Salguero-Hidalgo, Alberto Gabriel; Tapscott, Alan (IEEE, 2019-06-06)
Broadcast video games need to provide amusement to both players and audience. To achieve this, one of the most consumed genres is suspense, due to the psychological effects it has on both roles. Suspense is typically ... -
Parallel PSO for Efficient Neural Network Training Using GPGPU and Apache Spark in Edge Computing Sets
Capel-Tuñon, Manuel Isidoro; Salguero-Hidalgo, Alberto Gabriel; Holgado-Terriza, Juan Antonio (MDPI, 2024-08-26)
The training phase of a deep learning neural network (DLNN) is a computationally demanding process, particularly for models comprising multiple layers of intermediate neurons.This paper presents a novel approach to ... -
Predicting the effects of suspenseful outcome for automatic storytelling
De la Torre-Moreno, Pablo; León, Carlos; Salguero-Hidalgo, Alberto Gabriel; Tapscott, Alan; de la torre, Pablo (Elsevier, 2020-12-17)
Automatic story generation systems usually deliver suspense by including an adverse outcome in the narrative, in the assumption that the adversity will trigger a certain set of emotions that can be categorized as suspenseful. ...