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JCP
2006
118views more  JCP 2006»
15 years 4 months ago
Learning a Classification-based Glioma Growth Model Using MRI Data
Gliomas are malignant brain tumors that grow by invading adjacent tissue. We propose and evaluate a 3D classification-based growth model, CDM, that predicts how a glioma will grow ...
Marianne Morris, Russell Greiner, Jörg Sander...
BMCBI
2005
153views more  BMCBI 2005»
15 years 4 months ago
Learning Statistical Models for Annotating Proteins with Function Information using Biomedical Text
Background: The BioCreative text mining evaluation investigated the application of text mining methods to the task of automatically extracting information from text in biomedical ...
Soumya Ray, Mark Craven
IADIS
2004
15 years 6 months ago
Just-In-Time Learning: Ready For SMS?
The world trends indicate that a very high number of university students have access to a mobile phone. Is it time to integrate SMS-based mobile learning into a flexible learning ...
Krassie Petrova, Yenni Sutedjo
SCESM
2006
ACM
269views Algorithms» more  SCESM 2006»
15 years 11 months ago
Inferring operational requirements from scenarios and goal models using inductive learning
Goal orientation is an increasingly recognised Requirements Engineering paradigm. However, integration of goal modelling with operational models remains an open area for which the...
Dalal Alrajeh, Alessandra Russo, Sebastián ...
WACV
2005
IEEE
15 years 10 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee