We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
Digital repositories raise the need for an effective and efficient retrieval of the stored material. In this paper we propose the intensive application of intelligent techniques t...
Floriana Esposito, Stefano Ferilli, Teresa Maria A...
Frameworks promote design and code reuse, at a higher level of granularity. The use of frameworks is a hard task though, because usually they lack documentation and instructions o...
Fully automatic machine translation cannot produce high quality translation; Dialog-Based Machine Translation (DBMT) is the only way to provide authors with a means of translating...
How do tangible systems take advantage of our sociophysical embodiment in the world? How can we use tangible interaction to better understand collaboration and intersubjectivity? ...