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Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules
(MDPI, 2021)
Skin cancer is one of the most common types of cancers in the world, with melanoma being the most lethal form. Automatic melanoma diagnosis from skin images has recently gained attention within the machine learning community, ...
Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers
(Elsevier, 2022)
Multi-label classification has been used to solve a wide range of problems where each example in the dataset may be related either to one class (as in traditional classification problems) or to several class labels at the ...
Improving the understanding of cancer in a descriptive way: An emerging pattern mining-based approach
(Wiley, 2021)
This paper presents an approach based on emerging pattern mining to analyse cancer through genomic data. Unlike existing approaches, mainly focused on predictive purposes, the proposal aims to improve the understanding of ...
Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns
(Springer, 2022)
To provide a good study plan is key to avoid students’ failure. Academic advising based on student’s preferences, complexity of the semester, or even background knowledge is usually considered to reduce the dropout rate. ...
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 ...
Modeling and predicting students’ engagement behaviors using mixture Markov models
(Springer, 2022)
Students’ engagements reflect their level of involvement in an ongoing learning processwhich
can be estimated through their interactions with a computer-based learning or assessment
system. A pre-requirement for stimulating ...