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1. D'rea D, Amato R, Pinelli M, Tagliaferri R, Cocozza S, Miele G Challenging an ensemble approach (GENTES) with the Gene-Environment iNteraction Simulator (GENS) Meeting: Proceedings of BITS 2010 Meeting - Year: 2010 Full text in a new tab Topic: Genomics Abstract: Missing |
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2. Eleuteri A, Tagliaferri R, Acernese F, Milano L, De Laurentiis M Information Geometry for Survival Analysis and Feature Selection Meeting: BITS 2004 - Year: 2004 Full text in a new tab Topic: Unspecified Abstract: In this paper an information geometric approach to survival analysis is described. A neural network is designed to model the probability of failure of a system, and it is trained by minimising a suitable divergence functional in a Bayesian framework. By using the trained network, minimisation of the same divergence functional allows for fast, efficient and exact feature selection. |
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3. Staiano A, Tagliaferri R, De Vinco L, Longo G Advanced Data Mining Methodology Based on Latent Variable Models Meeting: BITS 2004 - Year: 2004 Full text in a new tab Topic: Unspecified Abstract: Aim of this paper is to show a powerful tool for data mining activities based on a nonlinear latent variable model, i.e. Probabilistic Principal Surfaces (PPS). PPS builds a probability density function of a given data set of patterns, lying in a D-dimensional space, which can be expressed in terms of a limited number of latent variables lying in a Q-dimensional space. Usually, Q is 2 or 3 dimensional and thus the density function is used to visualize the data in the latent space. PPS have been fruitful exploited for classification as well as visualization and clustering of complex real high-D data and represents a promising data mining tool for researchers in genetics and bioinformatics. |
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4. Tagliaferri R, Cocozza S, Iorio F, Miele G, Napolitano F, Pinelli M, Raiconi G A tool for interactive analysis of bioinformatics data Meeting: BITS 2007 - Year: 2007 Full text in a new tab Topic: Novel methodologies, algorithms and tools Abstract: Missing |