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When looking for medical information on the internet, having the precise terminology makes the search fairly straightforward.
We’ve all experienced two hugely frustrating things on YouTube: our video either suddenly gets pixelated, or it stops entirely to rebuffer.Both happen because of special algorithms that break videos i...
An algorithm developed at Carnegie Mellon University makes it easier to determine if someone has faked an Amazon or Yelp review or if a politician with a suspiciously large number of Twitter followers...
Many program analyses are naturally formulated and implemented using inclusion constraints. We present new results on the scalable implementation of such analyses based on two insights: rst, that onl...
We present an online, scalable method for inferring the interactions among the components of large production systems.We validate our approach on more than 1.3 billion lines of log files from eight un...
When digital signature is applied on low-power de-vices, like smart cards, wireless sensors and RFID tags, some spe-cific properties, e.g., better offline storage, more modular and flex-ible deploymen...
In this paper, we investigate the power of online learning in stochastic network optimization with unknown system statistics a priori. We are interested in understanding how information and learning c...
The greedy algorithm is extensively studied in the field of combinatorial optimiza-tion for decades. In this paper, we address the online learning problem when the input to the greedy algorithm is sto...
A widely recognized shortcoming of model predictive control (MPC) is that it can usually only be used in applications with slow dynamics, where the sample time is measured in seconds or minutes. A wel...
We present a generic tool, Kartograph, that lifts the fog of war in online real-time strategy games by snooping on the memory used by the game. Kartograph is passive and cannot be detected remotely. M...
We introduce the concept of a web-based online scanning service, or OSS for short, and show that these OSSes can be covertly used as proxies in a censorship circumvention system. Such proxies are suit...
Rating-based collaborative filtering is the process of predicting how a user would rate a given item from other user ratings. We propose three related slope one schemes with predictors of the form f(x...
The study draws empirical evidence from adolescents (aged 10 to 19 years) and young adults (20 to 24 years) who use the Internet in exploring the relationship between two sets of independent variables...
This work presents the design and implementation of our Browser-based Massively Multiplayer Online Game, Living City, a simulation game fully developed at the University of Messina. Living City is a p...
The poster will showcase how two instructors taught specialized software to a diverse group of students in an online course. The poster will highlight the pedagogical and logistical approaches that we...

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