Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Abstract. Schema integration is the activity of providing a unified representation of multiple data sources. The core problems in schema integration are: schema matching, i.e. the...
Matteo Magnani, Nikos Rizopoulos, Peter McBrien, D...
We develop a new method for estimating the discrepancy of tensors associated with multiparty communication problems in the “Number on the Forehead” model of Chandra, Furst and...
This paper presents an empirical task-based user evaluation, which was carried out for the purpose of assessing the subjective QoS of a mobile multimedia web service in a real mult...
This paper includes a review of mobile applications used in museum environments, focusing on the notion of context and its constituent dimensions. Museums are a representative exa...
Dimitris Raptis, Nikolaos K. Tselios, Nikolaos M. ...