Antonio CIAMPI
 

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Correspondence analysis and two-way clustering

A new approach to training back-propagation arti
cial neural networks: empirical evaluation on ten data sets from clinical studies

Statistical Models and Artificial Neural Networks: Supervised Classification and Prediction Via Soft Trees

Multilevel Clustering for large Databases

Hierarchical Clustering of Subpopulations with a dissimilarity based on the likelihood ratio statistic: Application to clustering massive data sets

Prediction trees with soft nodes for binary outcomes

Tree-structured subgroup analysis for censored survival data: Validation of computationally inexpensive model selection criteria