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» GRASP for Instance Selection in Medical Data Sets
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PICS
2003
14 years 11 months ago
Selection of Training Sets for the Characterisation of Multispectral Imaging Systems
To establish a correlation between the system output and the corresponding reflectance, the system characterisation functionDeriving the actual multispectral data from the output o...
Paolo Pellegri, Gianluca Novati, Raimondo Schettin...
CBMS
2008
IEEE
15 years 4 months ago
Bridging the Gap: Enabling CBIR in Medical Applications
Content-based Image Retrieval (CBIR) for medical images has received a significant research interest over the past decade as a promising approach to address the data management ch...
Sameer Antani, L. Rodney Long, George R. Thoma
75
Voted
JSAI
2001
Springer
15 years 2 months ago
Medical Knowledge Discovery on the Meningoencephalitis Diagnosis Studied by the Cascade Model
: The cascade model is a rule induction methodology that uses level-wise expansion of a lattice. An attribute-value pair is expressed as an item, and every node in the lattice is s...
Takashi Okada
FLAIRS
2008
14 years 12 months ago
Selecting Minority Examples from Misclassified Data for Over-Sampling
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
Jorge de la Calleja, Olac Fuentes, Jesús Go...
79
Voted
SSDBM
2003
IEEE
96views Database» more  SSDBM 2003»
15 years 2 months ago
Space Constrained Selection Problems for Data Warehouses and Pervasive Computing
Space constrained optimization problems arise in a multitude of important applications such as data warehouses and pervasive computing. A typical instance of such problems is to s...
Themistoklis Palpanas, Nick Koudas, Alberto O. Men...