This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
A current challenge in scientific computing is how to curb the growth of simulation datasets without losing valuable information. While wavelet based methods are popular, they req...
Membrane proteins are an important class of proteins that serve as channels, receptors, and energy transducers in a cell membrane. Knowledge of a given type of cell membrane prote...
Seyed Koosha Golmohammadi, Lukasz A. Kurgan, Brend...
The latent class model or multivariate multinomial mixture is a powerful model for clustering discrete data. This model is expected to be useful to represent non-homogeneous popula...
Damien Tessier, Marc Schoenauer, Christophe Bierna...
The paper describes a visualization mechanism that permits fast extraction of high-resolution slices of interest from large biomedical datasets stored remotely. To provide the user...
D. P. Gavidia, Elena V. Zudilova, Peter M. A. Sloo...