When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
This paper describes a referential semantic language model that achieves accurate recognition in user-defined domains with no available domain-specific training corpora. This mo...
In this paper we present GRASPER, a graph constraint solver, based on set constraints. We specify GRASPER’s constraints and we make use of our framework to model a problem in the...
This paper presents a methodological approach for the semiautomatic refinement and assessment of subgroup patterns using summarization and clustering techniques in the context of ...
In this research we introduce the problem of the binary matrix partitioning in a biological context. Our idea is to use SNP matrix to construct a set of phylogenetic networks to r...