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Mostrando ítems 241-250 de 254
JCLEC-MO: A Java suite for solving many-objective optimization engineering problems
(Elsevier, 2019)
Although metaheuristics have been widely recognized as efficient techniques to solve real-world optimization problems, implementing them from scratch remains difficult for domain-specific experts without programming skills. ...
An approach for the evolutionary discovery of software architectures
(Elsevier, 2015)
Software architectures constitute important analysis artefacts in software projects, as they reflect the main functional blocks of the software. They provide high-level analysis artefacts that are useful when architects ...
Concurrent Validity and Reliability of an Inertial Measurement Unit for the Assessment of Craniocervical Range of Motion in Subjects with Cerebral Palsy
(MDPI, 2020)
Objective: This study aimed to determine the validity and reliability of Inertial Measurement Units (IMUs) for the assessment of craniocervical range of motion (ROM) in patients with cerebral palsy (CP). Methods: twenty-three ...
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 ...
Effects of hypopressiveexercises on post-partum abdominal diastasis, trunk circumference and mechanical properties of abdominopelvic tissues: a case series
(Taylor & Francis, 2023)
Background: Abdominal diastasis (AD) is highly prevalent at post-partum. Although several conservative approaches have been proposed, an effective and protocolized treatment is lacking for this condition.
Objective: To ...
Instance selection for multi-label learning based on a scalable evolutionary algorithm
(IEEE, 2021)
Multi-label classification has recently attracted
greater research interest as a data mining task. Many current ap-
plications in data mining address problems having instances that
belong to more than one class, which ...
Rule-based preprocessing for data stream mining using complex event processing
(Wiley, 2021)
Data preprocessing is known to be essential to produce accurate data from which mining methods are able to extract valuable knowledge. When data constantly arrives from one or more sources, preprocessing techniques need ...
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. ...
A review on data fusion in multimodal learning analytics and educational data mining
(Wiley, 2022)
The new educational models such as smart learning environments use of digital and context-aware devices to facilitate the learning process. In this new educational scenario, a huge quantity of multimodal students' data ...
Error-Correcting Output Codes in the Framework of Deep Ordinal Classification
(Springer, 2022)
Automatic classification tasks on structured data have been revolutionized by Convolutional Neural Networks (CNNs), but the focus has been on binary and nominal classification tasks. Only recently, ordinal classification ...