Author(s): Guo J; Fan W; Amayri M; Bouguila N;

This article proposes a novel deep clustering model based on the variational autoencoder (VAE), named GamMM-VAE, which can learn latent representations of training data for clustering in an unsupervised manner. Most existing VAE-based deep clustering methods use the Gaussian mixture model (GMM) as a prior on the latent space. We employ a more flexible asy ...

Article GUID: 39662201

Author(s): Nadon L; Morin AJS; Gilbert W; Olivier E; Salmela-Aro K;

This study utilized piecewise linear growth mixture analysis to examine the developmental heterogeneity of school burnout among a sample of 513 (67.6% females) Finnish students as they transitioned from upper secondary school to higher education (ages 17-25 years). Encompassing five measurement points (two before the transition and three after), our resul ...

Article GUID: 39645324

Author(s): Amine El Mahdi Safhi

This manuscript delineates the assembly and structure of an extensive dataset encompassing more than 2500 self-consolidating concrete (SCC) mixtures, meticulously compiled from 176 scholarly sources. The dataset has been subjected to a thorough curation process to eliminate feature redundancy, rectify transcriptional inaccuracies, and excise duplicative e ...

Article GUID: 38533116

Author(s): Al-Bazzaz H; Azam M; Amayri M; Bouguila N;

Smart meter datasets have recently transitioned from monthly intervals to one-second granularity, yielding invaluable insights for diverse metering functions. Clustering analysis, a fundamental data mining technique, is extensively applied to discern unique energy consumption patterns. However, the advent of high-resolution smart meter data brings forth f ...

Article GUID: 37837127

Author(s): Bourouis S; Pawar Y; Bouguila N;

Finite Gamma mixture models have proved to be flexible and can take prior information into account to improve generalization capability, which make them interesting for several machine learning and data mining applications. In this study, an efficient Gamma mixture model-based approach for proportional vector clustering is proposed. In particular, a sophi ...

Article GUID: 35009726

Author(s): Morel E; Cui L; Zerges W; Wilkinson KJ;

In order to better understand the environmental risks of the rare earth elements (REEs), it is necessary to determine their fate and biological effects under environmentally relevant conditions (e.g. at low concentrations, REE mixtures). Here, the unicellular freshwater microalga, Chlamydomonas reinhardtii, was exposed for 2 h to one of three soluble REEs ...

Article GUID: 34175518

Author(s): Shafiei M, Dunn KA, Boon E, MacDonald SM, Walsh DA, Gu H, Bielawski JP

Microbiome. 2015;3:8 Authors: Shafiei M, Dunn KA, Boon E, MacDonald SM, Walsh DA, Gu H, Bielawski JP

Article GUID: 25774293