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131
Voted
KDD
2003
ACM
195views Data Mining» more  KDD 2003»
16 years 4 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer
133
Voted
EDOC
2007
IEEE
15 years 10 months ago
Modeling and Integrating Aspects into Component Architectures
Dependable software systems are difficult to develop because developers must understand and address several interdependent and pervasive dependability concerns. Features that addr...
Lydia Michotte, Robert B. France, Franck Fleurey
160
Voted
IUI
2006
ACM
15 years 9 months ago
Augmenting kitchen appliances with a shared context using knowledge about daily events
Networked appliances can simplify our lives, but interacting with them can be difficult in itself. KitchenSense is an early prototype of a networked kitchen full of sensors that u...
Chia-Hsun Jackie Lee, Leonardo Bonanni, José...
140
Voted
CIA
2004
Springer
15 years 9 months ago
Towards Monitoring of Group Interactions and Social Roles via Overhearing
We are investigating how to provide intelligent, pervasive support of group of people within so-called “smart environments”. Our current main assumption, based on literature in...
Silvia Rossi, Paolo Busetta
163
Voted
KR
2010
Springer
15 years 8 months ago
The Temporal Logic of Token Causes
While type causality helps us to understand general relationships such as the etiology of a disease (smoking causing lung cancer), token causality aims to explain causal connectio...
Samantha Kleinberg, Bud Mishra