Recommender systems are gaining widespread acceptance in e-commerce applications to confront the “information overload” problem. Collaborative Filtering (CF) is a successful re...
Information about the location and size of the targets that users interact with in real world settings can enable new innovations in human performance assessment and software usab...
With the advent of the multicore era, parallel programming is becoming ubiquitous. Multithreading is a common approach to benefit from these architectures. Hybrid M:N libraries lik...
We propose EndoScope, a software monitoring framework that allows users to pose declarative queries that monitor the state and performance of running programs. Unlike most existin...
There has been much recent interest in retrieval of time series data. Earlier work has used a fixed similarity metric (e.g., Euclidean distance) to determine the similarity betwee...