• Ensemble classification through random projections for single-cell RNA-seq data 

      Vrahatis A.G., Tasoulis S.K., Georgakopoulos S.V., Plagianakos V.P. (2020)
      Nowadays, biomedical data are generated exponentially, creating datasets for analysis with ultra-high dimensionality and complexity. An indicative example is emerging single-cell RNA-sequencing (scRNA-seq) technology, which ...
    • Improving Hierarchical Short Text Clustering through Dominant Feature Learning 

      Akritidis L., Alamaniotis M., Fevgas A., Tsompanopoulou P., Bozanis P. (2022)
      This paper focuses on the popular problem of short text clustering. Since the short text documents typically exhibit high degrees of data sparseness and dimensionality, the problem in question is generally considered more ...
    • Projection based clustering of gene expression data 

      Tasoulis, S. K.; Plagianakos, V. P.; Tasoulis, D. K. (2010)
      The microarray DNA technologies have given researchers the ability to examine, discover and monitor thousands of genes in a single experiment. Nonetheless, the tremendous amount of data that can be obtained from microarray ...