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Publication search results
found 17 matches
- 2003
- Andreas Alexander Albrecht, Staal Amund Vinterbo, Lucila Ohno-Machado:
An Epicurean learning approach to gene-expression data classification. Artif. Intell. Medicine 28(1): 75-87 (2003) - Guido Bologna:
A model for single and multiple knowledge based networks. Artif. Intell. Medicine 28(2): 141-163 (2003) - Sergio Di Bona, Heinrich Niemann, Gabriele Pieri, Ovidio Salvetti:
Brain volumes characterisation using hierarchical neural networks. Artif. Intell. Medicine 28(3): 307-322 (2003) - Guy Carrault, Marie-Odile Cordier, Rene Quiniou, Feng Wang:
Temporal abstraction and inductive logic programming for arrhythmia recognition from electrocardiograms. Artif. Intell. Medicine 28(3): 231-263 (2003) - Ian Cloete, Karl Rohr:
Knowledge-based neurocomputing in medicine. Artif. Intell. Medicine 28(2): 117-119 (2003) - Frank Dieterle, Silvia Müller-Hagedorn, Hartmut M. Liebich, Günter Gauglitz:
Urinary nucleosides as potential tumor markers evaluated by learning vector quantization. Artif. Intell. Medicine 28(3): 265-279 (2003) - Matthias E. Futschik, Anthony Reeve, Nikola K. Kasabov:
Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue. Artif. Intell. Medicine 28(2): 165-189 (2003) - Dragan Gamberger, Nada Lavrac:
Active subgroup mining: a case study in coronary heart disease risk group detection. Artif. Intell. Medicine 28(1): 27-57 (2003) - Christopher J. James, David Lowe:
Extracting multisource brain activity from a single electromagnetic channel. Artif. Intell. Medicine 28(1): 89-104 (2003) - Paulo J. G. Lisboa, H. Wong, P. Harris, R. Swindell:
A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer. Artif. Intell. Medicine 28(1): 1-25 (2003) - Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Ignace Vergote, Dirk Timmerman:
Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines. Artif. Intell. Medicine 28(3): 281-306 (2003) - Christian W. Omlin, Sean Snyders:
Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues. Artif. Intell. Medicine 28(2): 121-140 (2003) - Jürgen Paetz:
Knowledge-based approach to septic shock patient data using a neural network with trapezoidal activation functions. Artif. Intell. Medicine 28(2): 207-230 (2003) - Carsten Peterson, Markus Ringnér:
Analyzing tumor gene expression profiles. Artif. Intell. Medicine 28(1): 59-74 (2003) - Martin Radespiel-Tröger, Thomas Rabenstein, H. T. Schneider, Berthold Lausen:
Comparison of tree-based methods for prognostic stratification of survival data. Artif. Intell. Medicine 28(3): 323-341 (2003) - Ralf Schweiger, Simon Hölzer, Dirk Rudolf, Joerg Rieger, Joachim Dudeck:
Linking clinical data using XML topic maps. Artif. Intell. Medicine 28(1): 105-115 (2003) - Robert Wall, Padraig Cunningham, Paul Walsh, Stephen Byrne:
Explaining the output of ensembles in medical decision support on a case by case basis. Artif. Intell. Medicine 28(2): 191-206 (2003)
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