Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
Daniel Restrepo-Montoya, Camilo Pino, Luis F. Ni&n...
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
Background: Bioinformatics tools are commonly used for assessing potential protein allergenicity. While these methods have achieved good accuracies for highly conserved sequences,...
Shen Jean Lim, Joo Chuan Tong, Fook Tim Chew, Mart...
The Motion-Compensated Temporal Filtering (MCTF) is an innovative prediction scheme for video coding and has become the core technology of the coming video coding standard, MPEG21...