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FLAIRS
2003
13 years 6 months ago
A Case-Based Adaptation Model for Thyroid Cancer Diagnosis Using Neural Networks
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
Abdel-Badeeh M. Salem, Bassant El Bagoury
AINA
2006
IEEE
13 years 10 months ago
A Hybrid Rule-Based/Case-Based Reasoning Approach for Service Fault Diagnosis
— In today’s service market the provisioning of high quality services has become a critical issue for providers as the business success of their customers is often based on the...
Andreas Hanemann
IJON
2006
103views more  IJON 2006»
13 years 4 months ago
Evolutionary system for automatically constructing and adapting radial basis function networks
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Daniel Manrique, Juan Rios, Alfonso Rodrígu...
BMCBI
2006
94views more  BMCBI 2006»
13 years 4 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
ECAI
2008
Springer
13 years 6 months ago
Intelligent adaptive monitoring for cardiac surveillance
Monitoring patients in intensive care units is a critical task. Simple condition detection is generally insufficient to diagnose a patient and may generate many false alarms to the...
Lucie Callens, Guy Carrault, Marie-Odile Cordier, ...