A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
This demonstration presents Crescando, an implementation of a distributed relational table that guarantees predictable response time on unpredictable workloads. In Crescando, data...
Georgios Giannikis, Philipp Unterbrunner, Jeremy M...
In many practical scenarios, users are faced with the problem of choosing the most preferred outcome from a large set of possibilities. As people are unable to sift through them m...
Boi Faltings, Pearl Pu, Marc Torrens, Paolo Viappi...
In surprisingly many computer science research projects, system outcomes may be influenced by computerized or human agents with different economic incentives. Such studies include...
Diffusion Tensor Imaging (DTI) is a magnetic resonance imaging method that can be used to measure local information about the structure of white matter within the human brain. Com...
David Akers, Anthony Sherbondy, Rachel Mackenzie, ...