Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Increasing monitoring of transactions, environmental parameters, homeland security, RFID chips and interactions of online users rapidly establishes new data sources and applicatio...
We present algorithms based on truth-prefixed tableaux to solve both Concept Abduction and Contraction in ALN DL. We also analyze the computational complexity of the problems, sho...
Simona Colucci, Tommaso Di Noia, Eugenio Di Sciasc...
In this paper, we present methods for supporting autonomous updates in replicated databases. Autonomous updates are of particular importance to applications that cannot tolerate t...
Stefano Ceri, Maurice A. W. Houtsma, Arthur M. Kel...
Background: Although short interfering RNA (siRNA) has been widely used for studying gene functions in mammalian cells, its gene silencing efficacy varies markedly and there are o...