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Giorgio Valentini
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Publications
- 2015
- [j38]Marco Frasca, Alberto Bertoni, Giorgio Valentini:
UNIPred: Unbalance-Aware Network Integration and Prediction of Protein Functions. J. Comput. Biol. 22(12): 1057-1074 (2015) - 2013
- [j34]Marco Frasca, Alberto Bertoni, Matteo Re, Giorgio Valentini:
A neural network algorithm for semi-supervised node label learning from unbalanced data. Neural Networks 43: 84-98 (2013) - 2011
- [j26]Marco Muselli, Alberto Bertoni, Marco Frasca, Alessandro Beghini, Francesca Ruffino, Giorgio Valentini:
A Mathematical Model for the Validation of Gene Selection Methods. IEEE ACM Trans. Comput. Biol. Bioinform. 8(5): 1385-1392 (2011) - [c30]Alberto Bertoni, Marco Frasca, Giorgio Valentini:
COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in Graphs. ECML/PKDD (1) 2011: 219-234 - [c29]Alberto Bertoni, Matteo Re, Francesco Saccà, Giorgio Valentini:
Identification of promoter regions in genomic sequences by 1-dimensional constraint clustering. WIRN 2011: 162-169 - 2010
- [c27]Alberto Bertoni, Marco Frasca, Giuliano Grossi, Giorgio Valentini:
Learning functional linkage networks with a cost-sensitive approach. WIRN 2010: 52-61 - 2008
- [j16]Alberto Bertoni, Giorgio Valentini:
Discovering multi-level structures in bio-molecular data through the Bernstein inequality. BMC Bioinform. 9(S-2) (2008) - [c21]Alberto Bertoni, Giorgio Valentini:
Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data. CIBB 2008: 25-43 - [c18]Alberto Bertoni, Raffaella Folgieri, Giorgio Valentini:
Classification of DNA microarray data with Random Projection Ensembles of Polynomial SVMs. WIRN 2008: 60-66 - 2007
- [j13]Alberto Bertoni, Giorgio Valentini:
Model order selection for bio-molecular data clustering. BMC Bioinform. 8(S-2) (2007) - [c17]Alberto Bertoni, Giorgio Valentini:
Discovering Significant Structures in Clustered Bio-molecular Data Through the Bernstein Inequality. KES (3) 2007: 886-891 - 2006
- [j12]Alberto Bertoni, Giorgio Valentini:
Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses. Artif. Intell. Medicine 37(2): 85-109 (2006) - 2005
- [j9]Alberto Bertoni, Raffaella Folgieri, Giorgio Valentini:
Bio-molecular cancer prediction with random subspace ensembles of support vector machines. Neurocomputing 63: 535-539 (2005) - [c13]Alberto Bertoni, Giorgio Valentini:
Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms. WIRN/NAIS 2005: 31-37 - 2004
- [c11]Alberto Bertoni, Raffaella Folgieri, Giorgio Valentini:
Feature Selection Combined with Random Subspace Ensemble for Gene Expression Based Diagnosis of Malignancies. WIRN 2004: 29-35
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