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Mujeres en estudios científico-tecnológicos en la Universidade da Coruña: evolución de estudiantes y personal docente e investigador
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2021)
[Resumen]: En la universidad, la presencia de las mujeres se reduce conforme se aumenta el rango académico. Todo apunta a una segregación vertical de género –techo de cristal– en la carrera investigadora y la segregación ...
Feature Selection in Big Image Datasets
(MDPI AG, 2020-08-24)
[Abstract]
In computer vision, current feature extraction techniques generate high dimensional data. Both convolutional neural networks and traditional approaches like keypoint detectors are used as extractors of high-level ...
Interpretable market segmentation on high dimension data
(M D P I AG, 2018-09-17)
[Abstract] Obtaining relevant information from the vast amount of data generated by interactions in a market or, in general, from a dyadic dataset, is a broad problem of great interest both for industry and academia. Also, ...
GenEs: una plataforma para la generación, realización y evaluación de exámenes
(Thomson-Paraninfo, 2006)
Este artículo describe una herramienta de entorno web que asiste al profesor en la tarea completa de la evaluación: desde la fase de composición del examen, seleccionando aleatoriamente un conjunto representativo de ...
On the Effectiveness of Convolutional Autoencoders on Image-Based Personalized Recommender Systems
(MDPI AG, 2020-08-19)
[Abstract]
Over the years, the success of recommender systems has become remarkable. Due to the massive arrival of options that a consumer can have at his/her reach, a collaborative environment was generated, where users ...
Gamifying Machine Teaching: Human-in-the-Loop Approach for Diphthong and Hiatus Identification in Spanish Language
(Elsevier B.V., 2023)
[Abstract]: Human-in-the-Loop Machine Learning (HITL-ML) is a set of techniques that attempt to actively involve experts into the learning loop of machine learning (ML) models. One of these techniques is Machine Teaching ...
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. ...