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» Active Inference for Collective Classification
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IMC
2009
ACM
15 years 4 months ago
Characterizing user behavior in online social networks
Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, richer studies of social interactions, and improved ...
Fabrício Benevenuto, Tiago Rodrigues, Meeyo...
BMCBI
2007
174views more  BMCBI 2007»
14 years 9 months ago
ESTuber db: an online database for Tuber borchii EST sequences
Background: The ESTuber database (http://www.itb.cnr.it/estuber) includes 3,271 Tuber borchii expressed sequence tags (EST). The dataset consists of 2,389 sequences from an in-hou...
Barbara Lazzari, Andrea Caprera, Cristian Cosentin...
CHI
2005
ACM
15 years 10 months ago
Gait phase effects in mobile interaction
One problem evaluating mobile and wearable devices is that they are used in mobile settings, making it hard to collect usability data. We present a study of tap-based selection of...
Andrew Crossan, Roderick Murray-Smith, Stephen A. ...
MOBISYS
2009
ACM
15 years 10 months ago
PEIR, the personal environmental impact report, as a platform for participatory sensing systems research
PEIR, the Personal Environmental Impact Report, is a participatory sensing application that uses location data sampled from everyday mobile phones to calculate personalized estima...
Min Mun, Sasank Reddy, Katie Shilton, Nathan Yau, ...
TON
2010
159views more  TON 2010»
14 years 4 months ago
Googling the internet: profiling internet endpoints via the world wide web
Understanding Internet access trends at a global scale, i.e., how people use the Internet, is a challenging problem that is typically addressed by analyzing network traces. However...
Ionut Trestian, Supranamaya Ranjan, Aleksandar Kuz...