45 documents found, page 1 of 5
Interconnection between lifestyle, health, and academic outcomes: an analysis o...
Azevedo, Beatriz Flamia; Bezerra, Ana J.B.; Sirmakessis, Spiros; Pereira, Ana I.Balancing academic demands with personal and professional responsibilities has become an increasingly challenging task, making it difficult to maintain well-being and potentially leading to serious health problems. The stress resulting from these multiple daily tasks, combined with the pressure to perform at high academic levels, directly impacts students’ mental and emotional health, significantly compromising...
Influence of habits and comorbidities on liver disease
Leite, Gabriel A.; Azevedo, Beatriz Flamia; Pacheco, Maria F.; Fernandes, Florbela P.; Pereira, Ana I.The prevalence of hepatocellular carcinoma is expected to continue increasing worldwide, and its difficulty in early detection highlights the need for advanced monitoring technologies. As the disease progresses, it has a serious impact on patients’ health, and in severe cases, liver transplantation becomes the only viable solution, reinforcing its importance as a global health problem. This study proposes the u...
A multi-objective clustering algorithm integrating intra-clustering and inter-c...
Azevedo, Beatriz Flamia; Rocha, Ana Maria A. C.; Pereira, Ana I.This study delves into bio-inspired approaches and clustering methodologies to introduce an automated clustering algorithm named Multi-objective Clustering Algorithm (MCA). Using multi-objective strategies and several combination measures, this method calculates the optimal number of clusters and element partitioning by minimizing intra-clustering measures and maximizing inter-clustering ones. Through experimen...
A multi-objective clustering approach based on different clustering measures co...
Azevedo, Beatriz Flamia; Rocha, Ana Maria A. C.; Pereira, Ana I.Clustering methods aim to categorize the elements of a dataset into groups according to the similarities and dissimilarities of the elements. This paper proposes the Multi-objective Clustering Algorithm (MCA), which combines clustering methods with the Nondominated Sorting Genetic Algorithm II. In this way, the proposed algorithm can automatically define the optimal number of clusters and partition the elements...
Categorizing Students of the MathE Platform: A Fuzzy Clustering Perspective
Leite, Gabriel A.; Azevedo, Beatriz Flamia; Pacheco, Maria F.; Fernandes, Florbela P.; Pereira, Ana I.Active learning and technology integration offer enhanced student engagement and adaptive learning, accommodating diverse preferences. This work uses fuzzy clustering method to analyze the data of students who answer questions on the MathE platform. To do this, the Fuzzy c-means algorithm was used, which allows flexibility and adaptability in the clustering partitioning, especially in situations where data elem...
A Multi-objective Clustering Algorithm Integrating Intra-Clustering and Inter-C...
Azevedo, Beatriz Flamia; Rocha, Ana Maria A. C.; Pereira, Ana I.This study delves into bio-inspired approaches and clustering methodologies to introduce an automated clustering algorithm named Multi-objective Clustering Algorithm (MCA). Using multi-objective strategies and several combination measures, this method calculates the optimal number of clusters and element partitioning by minimizing intra-clustering measures and maximizing inter-clustering ones. Through experimen...
Comparison between single and multi-objective clustering algorithms: MathE case...
Azevedo, Beatriz Flamia; Rocha, Ana Maria A. C.; Fernandes, Florbela P.; Pacheco, Maria F.; Pereira, Ana I.This paper compares the results obtained for four single clustering algorithms with a multi-objective clustering approach. For this, a dataset describing the student’s behavior within the Linear Algebra topic on the MathE e-learning platform is used. This dataset aids in understanding student performance and engagement in MathE to support the development of an intelligent system to tailor the platform’s resourc...
A collaborative multi-objective approach for clustering task based on distance ...
Azevedo, Beatriz Flamia; Rocha, Ana Maria A. C.; Pereira, Ana I.Clustering algorithm has the task of classifying a set of elements so that the elements within the same group are as similar as possible and, in the same way, that the elements of different groups (clusters) are as different as possible. This paper presents the Multi-objective Clustering Algorithm (MCA) combined with the NSGA-II, based on two intra- and three inter-clustering measures, combined 2-to-2, to defin...
Hybrid approaches to optimization and machine learning methods: a systematic li...
Azevedo, Beatriz Flamia; Rocha, Ana Maria A. C.; Pereira, Ana I.Notably, real problems are increasingly complex and require sophisticated models and algorithms capable of quickly dealing with large data sets and finding optimal solutions. However, there is no perfect method or algorithm; all of them have some limitations that can be mitigated or eliminated by combining the skills of different methodologies. In this way, it is expected to develop hybrid algorithms that can t...
A multi-objective clustering approach based on different clustering measures co...
Azevedo, Beatriz Flamia; Rocha, Ana Maria A.C.; Pereira, Ana I.Clustering methods aim to categorize the elements of a dataset into groups according to the similarities and dissimilarities of the elements. This paper proposes the Multi-objective Clustering Algorithm (MCA), which combines clustering methods with the Nondominated Sorting Genetic Algorithm II. In this way, the proposed algorithm can automatically define the optimal number of clusters and partition the elements...