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» Modeling User Affect from Causes and Effects
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ISSTA
2009
ACM
15 years 10 months ago
AVA: automated interpretation of dynamically detected anomalies
Dynamic analysis techniques have been extensively adopted to discover causes of observed failures. In particular, anomaly detection techniques can infer behavioral models from obs...
Anton Babenko, Leonardo Mariani, Fabrizio Pastore
WAW
2010
Springer
311views Algorithms» more  WAW 2010»
15 years 1 months ago
Game-Theoretic Models of Information Overload in Social Networks
We study the effect of information overload on user engagement in an asymmetric social network like Twitter. We introduce simple game-theoretic models that capture rate competition...
Christian Borgs, Jennifer T. Chayes, Brian Karrer,...
141
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TOIT
2010
115views more  TOIT 2010»
15 years 2 months ago
A market-based bandwidth charging framework
The increasing demand for high-bandwidth applications such as video-on-demand and grid computing is reviving interest in bandwidth reservation schemes. Earlier attempts did not ca...
David Michael Turner, Vassilis Prevelakis, Angelos...
TKDE
2008
122views more  TKDE 2008»
15 years 3 months ago
Protection of Database Security via Collaborative Inference Detection
Malicious users can exploit the correlation among data to infer sensitive information from a series of seemingly innocuous data accesses. Thus, we develop an inference violation d...
Yu Chen, Wesley W. Chu
MICCAI
2007
Springer
16 years 5 months ago
De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration
Abstract. Dynamic enhancement causes serious problems for registration of contrast enhanced breast MRI, due to variable uptakes of agent on different tissues or even same tissues i...
Yuanjie Zheng, Jingyi Yu, Chandra Kambhamettu, Sar...