Biclustering, the simultaneous clustering of rows and columns of a data matrix, has proved
its effectiveness in bioinformatics due to its capacity to produce local instead of global …

The analysis of temporal data has gained increasing attention in recent years, aiming to
identify patterns and trends that change over time. Temporal triclustering is a promising …

Identifying groups of patients with similar disease progression patterns is key to understand
disease heterogeneity, guide clinical decisions and improve patient care. In this paper, we …

Collaborative Filtering (CF) is achieving a plateau of high popularity. Still, recommendation
success is challenged by the diversity of user preferences, structural sparsity of user-item …

Amyotrophic lateral sclerosis (ALS) is characterized by rapid motor neuron degeneration
and subsequent loss of motor function, typically leading to death by respiratory failure. As …

Tensor data analysis allows researchers to uncover novel patterns and relationships that
cannot be obtained from tabular data alone. The information inferred from multi-way patterns …

Abstract Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease causing
progressive loss of cognitive and motor functions. Due to limited understanding of its …

In order to improve the accuracy of online teaching data classification results and provide
comprehensive technical guidance and help for the standardized implementation of quality …