We present our work on emotionally expressive avatars, animated virtual characters that can express emotions via facial expressions. Because these avatars are highly distinctive an...
Marc Fabri, Salima Y. Awad Elzouki, David J. Moore
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
In this paper, we present the design and the implementation of a novel scheme for the multicast transmission of data over Universal Mobile Telecommunications System (UMTS) network...
Antonios G. Alexiou, Christos Bouras, Andreas Papa...
Modeling text with topics is currently a popular research area in both Machine Learning and Information Retrieval (IR). Most of this research has focused on automatic methods thou...
This paper presents the results related to the development of a flexible domain-based access control infrastructure for distributed Grid-based Collaborative Environments and Comple...