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CHI
2011
ACM
12 years 11 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
14 years 19 hour ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
AIRS
2009
Springer
13 years 11 months ago
Enabling Effective User Interactions in Content-Based Image Retrieval
Abstract. This paper presents an interactive content-based image retrieval framework--uInteract, for delivering a novel four-factor user interaction model visually. The four-factor...
Haiming Liu 0002, Srdan Zagorac, Victoria S. Uren,...
ICMI
2005
Springer
193views Biometrics» more  ICMI 2005»
14 years 28 days ago
Augmenting conversational dialogue by means of latent semantic googling
This paper presents Latent Semantic Googling, a variant of Landauer’s Latent Semantic Indexing that uses the Google search engine to judge the semantic closeness of sets of word...
Robin Senior, Roel Vertegaal
ECIR
2008
Springer
13 years 8 months ago
Using Clicks as Implicit Judgments: Expectations Versus Observations
Abstract. Clickthrough data has been the subject of increasing popularity as an implicit indicator of user feedback. Previous analysis has suggested that user click behaviour is su...
Falk Scholer, Milad Shokouhi, Bodo Billerbeck, And...