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» Semi-supervised time series classification
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CHI
2010
ACM
14 years 2 months ago
Faster progress bars: manipulating perceived duration with visual augmentations
Human perception of time is fluid, and can be manipulated in purposeful and productive ways. In this note, we propose and evaluate variations on two visual designs for progress ba...
Chris Harrison, Zhiquan Yeo, Scott E. Hudson
ICDM
2010
IEEE
99views Data Mining» more  ICDM 2010»
13 years 5 months ago
A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support
We present a mining system that can predict the future health status of the patient using the temporal trajectories of health status of a set of similar patients. The main noveltie...
Jimeng Sun, Daby Sow, Jianying Hu, Shahram Ebadoll...
UIST
2010
ACM
13 years 5 months ago
Soylent: a word processor with a crowd inside
This paper introduces architectural and interaction patterns for integrating crowdsourced human contributions directly into user interfaces. We focus on writing and editing, compl...
Michael S. Bernstein, Greg Little, Robert C. Mille...
CONEXT
2009
ACM
13 years 8 months ago
Exploiting dynamicity in graph-based traffic analysis: techniques and applications
Network traffic can be represented by a Traffic Dispersion Graph (TDG) that contains an edge between two nodes that send a particular type of traffic (e.g., DNS) to one another. T...
Marios Iliofotou, Michalis Faloutsos, Michael Mitz...
CHI
2007
ACM
14 years 8 months ago
Pressure marks
Selections and actions in GUI's are often separated ? i.e. an action or command typically follows a selection. This sequence imposes a lower bound on the interaction time tha...
Gonzalo A. Ramos, Ravin Balakrishnan