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Explicabilidad Sostenible para Sistemas de Recomendación mediante Ranking Bayesiano de Imágenes
(AEPIA, 2024)
[Abstract]: Los Sistemas de Recomendacion se han vuelto cruciales por su gran influencia en la sociedad pero, siendo mayoritariamente sistemas de caja negra, fomentar su transparencia es tan primordial como complejo; ...
Scalable Feature Selection Using ReliefF Aided by Locality-Sensitive Hashing
(Wiley, 2021)
[Abstract] Feature selection algorithms, such as ReliefF, are very important for processing high-dimensionality data sets. However, widespread use of popular and effective such algorithms is limited by their computational ...
Feature Selection With Limited Bit Depth Mutual Information for Embedded Systems
(MDPI AG, 2018-09-17)
[Abstract] Data is growing at an unprecedented pace. With the variety, speed and volume of data flowing through networks and databases, newer approaches based on machine learning are required. But what is really big in Big ...
Inter-database validation of a deep learning approach for automatic sleep scoring
(PLOS, 2021)
[Abstract] Study objectives
Development of inter-database generalizable sleep staging algorithms represents a challenge due to increased data variability across different datasets. Sharing data between different centers ...
SOPRENE: Assessment of the Spanish Armada’s Predictive Maintenance Tool for Naval Assets
(MDPI, 2021)
[Abstract] Predictive maintenance has lately proved to be a useful tool for optimizing costs, performance and systems availability. Furthermore, the greater and more complex the system, the higher the benefit but also the ...
Usability Heuristics for Domain-Specific Languages (DSLs)
(ACM, 2020-03-30)
[Abstract] The usability of Domain-Specific Languages (DSLs) has been attracting considerable interest from researchers lately. In particular, our literature review found many usability studies that make use of subjective ...
Automatic detection of EEG arousals
(ESANN, 2016-04-27)
[Abstract] Fragmented sleep is commonly caused by arousals that can be
detected with the observation of electroencephalographic (EEG) signals.
As this is a time consuming task, automatization processes are required. ...
Aprendizaje automático para combatir la toxicidad en conversaciones sobre salud en línea
(AEPIA, 2024)
[Abstract]: En temas relacionados con la salud publica, la toxicidad de usuarios en conversaciones en redes sociales puede ser una fuente de conflicto social o promover comportamientos peligrosos sin base científica. Los ...
A Taxonomy-Based Usability Study of an Intelligent Speed Adaptation Device
(Taylor & Francis Inc., 2014-04-04)
[Abstract] Usability studies are often based on ad hoc definitions of usability. These studies can be difficult to generalize, they might have a steep learning curve, and there is always the danger of being inconsistent ...
Segmentation, classification and interpretation of breast cancer medical images using human-in-the-loop machine learning
(Springer, 2024-12-10)
[Abstract]: This paper explores the application of Human-in-the-Loop (HITL) strategies in the training of machine learning models in the medical domain. In this case, a doctor-in-the-loop approach is proposed to leverage ...
