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Asymmetries of the Muscle Mechanical Properties of the Pelvic Floor in Nulliparous and Multiparous Women, and Men: A Cross-Sectional Study
(MDPI, 2022)
This study aimed to identify if the muscle mechanical properties (MMPs) of both sides of pelvic floor muscles (PFMs) are symmetrical in different populations of both sexes. Between-sides comparisons of MMPs of PFMs, assessed ...
Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor–Recipient Matching?
(MDPI, 2022)
Liver transplantation outcomes have improved in recent years. However, with the emergence of expanded donor criteria, tools to better assist donor–recipient matching have become necessary. Most of the currently proposed ...
Unimodal regularisation based on beta distribution for deep ordinal regression
(Elsevier, 2022)
Currently, the use of deep learning for solving ordinal classification problems, where categories follow a natural order, has not received much attention. In this paper, we propose an unimodal regularisation based on the ...
Determining the Difficulties of Students With Dyslexia via Virtual Reality and Artificial Intelligence: An Exploratory Analysis
(IEEE, 2022)
Learning disorders are neurological conditions that affect the brain’s ability to interconnect communication areas. Dyslexic students experience problems with reading, memorizing, and exposing concepts; however the magnitude ...
Analysing the Needs of Homeless People Using Feature Selection and Mining Association Rules
(IEEE, 2022)
Homelessness is a social and health problem with great repercussions in Europe. Many non-governmental organisations help homeless people by collecting and analysing large amounts of information about them. However, these ...
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization
(Elsevier, 2020)
The wide availability of specific courses together with the flexibility of academic plans in university
studies reveal the importance of Recommendation Systems (RSs) in this area. These systems appear
as tools that help ...
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses
(Elsevier, 2021)
In this paper we apply data fusion approaches for predicting the final academic performance of university students using multiple-source, multimodal data from blended learning environments. We collect and preprocess data ...
Educational data mining and learning analytics: An updated survey
(Wiley, 2020)
This survey is an updated and improved version of the previous one published
in 2013 in this journal with the title “data mining in education”. It reviews in a
comprehensible and very general way how Educational Data ...
GEML: A grammar-based evolutionary machine learning approach for design-pattern detection
(Elsevier, 2021)
Design patterns (DPs) are recognised as a good practice in software development. However, the lack of appropriate documentation often hampers traceability, and their benefits are blurred among thousands of lines of code. ...
Process mining for self-regulated learning assessment in e-learning
(Springer, 2020)
Content assessment has broadly improved in e-learning scenarios in recent decades. However, the eLearning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only ...