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2010 – 2019
- 2018
[c12]Cheick Tidiane Ba
, Elena Casiraghi, Marco Frasca, Jessica Gliozzo, Giuliano Grossi, Marco Mesiti, Marco Notaro, Paolo Perlasca, Alessandro Petrini, Matteo Re, Giorgio Valentini:
A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks. CIBB 2018: 88-98- 2016
- [j14]Giorgio Valentini, Giuliano Armano, Marco Frasca, Jianyi Lin, Marco Mesiti, Matteo Re:
RANKS: a flexible tool for node label ranking and classification in biological networks. Bioinform. 32(18): 2872-2874 (2016) - [c11]Jianyi Lin, Marco Mesiti, Matteo Re, Giorgio Valentini:
Within network learning on big graphs using secondary memory-based random walk kernels. COMPLEX NETWORKS 2016: 235-245 - 2015
- [c10]Giorgio Valentini, Sebastian Köhler, Matteo Ré, Marco Notaro, Peter N. Robinson:
Prediction of Human Gene - Phenotype Associations by Exploiting the Hierarchical Structure of the Human Phenotype Ontology. IWBBIO (1) 2015: 66-77 - [c9]Peter N. Robinson, Marco Frasca, Sebastian Köhler, Marco Notaro, Matteo Re, Giorgio Valentini:
A Hierarchical Ensemble Method for DAG-Structured Taxonomies. MCS 2015: 15-26 - 2014
- [j13]Giorgio Valentini, Alberto Paccanaro, Horacio Caniza, Alfonso E. Romero, Matteo Re:
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods. Artif. Intell. Medicine 61(2): 63-78 (2014) - 2013
- [j12]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) - [j11]Matteo Re, Giorgio Valentini:
Network-Based Drug Ranking and Repositioning with Respect to DrugBank Therapeutic Categories. IEEE ACM Trans. Comput. Biol. Bioinform. 10(6): 1359-1371 (2013) - 2012
- [j10]Matteo Re, Giorgio Valentini:
Cancer module genes ranking using kernelized score functions. BMC Bioinform. 13(S-14): S3 (2012) - [j9]Nicolò Cesa-Bianchi, Matteo Re, Giorgio Valentini:
Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference. Mach. Learn. 88(1-2): 209-241 (2012) - [j8]Matteo Re, Marco Mesiti, Giorgio Valentini:
A Fast Ranking Algorithm for Predicting Gene Functions in Biomolecular Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 9(6): 1812-1818 (2012) - [c8]Matteo Re, Giorgio Valentini:
Random Walking on Functional Interaction Networks to Rank Genes Involved in Cancer. AIAI (2) 2012: 66-75 - [c7]Matteo Re, Giorgio Valentini:
Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories. ISBRA 2012: 225-236 - 2011
- [j7]Matteo Ré:
Comparing early and late data fusion methods for gene expression prediction. Soft Comput. 15(8): 1497-1504 (2011) - [c6]Alberto Bertoni, Matteo Re, Francesco Saccà, Giorgio Valentini:
Identification of promoter regions in genomic sequences by 1-dimensional constraint clustering. WIRN 2011: 162-169 - [p2]Alessandro Rozza, Gabriele Lombardi, Matteo Re, Elena Casiraghi, Giorgio Valentini, Paola Campadelli:
A Novel Ensemble Technique for Protein Subcellular Location Prediction. Ensembles in Machine Learning Applications 2011: 151-167 - [e1]Oleg Okun, Giorgio Valentini, Matteo Ré:
Ensembles in Machine Learning Applications. Studies in Computational Intelligence 373, Springer 2011, ISBN 978-3-642-22909-1 [contents] - 2010
- [j6]Matteo Re, Giorgio Valentini:
Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines. Neurocomputing 73(7-9): 1533-1537 (2010) - [j5]Matteo Re, Giorgio Valentini:
Noise tolerance of Multiple Classifier Systems in data integration-based gene function prediction. J. Integr. Bioinform. 7(3) (2010) - [c5]Matteo Re, Giorgio Valentini:
An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction. MCS 2010: 294-303 - [c4]Matteo Ré, Giorgio Valentini:
Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction. MLSB 2010: 98-111
2000 – 2009
- 2009
- [j4]Matteo Ré, Giulio Pavesi:
Detecting conserved coding genomic regions through signal processing of nucleotide substitution patterns. Artif. Intell. Medicine 45(2-3): 117-123 (2009) - [j3]Matteo Re, Graziano Pesole, David Stephen Horner:
Accurate discrimination of conserved coding and non-coding regions through multiple indicators of evolutionary dynamics. BMC Bioinform. 10: 282 (2009) - [j2]Roberto Avogadri, Matteo Brioschi, Fulvia Ferrazzi, Matteo Re, Alessandro Beghini, Giorgio Valentini:
A stability-based algorithm to validate hierarchical clusters of genes. Int. J. Knowl. Eng. Soft Data Paradigms 1(4): 318-330 (2009) - [c3]Matteo Re, Giorgio Valentini:
Ensemble Based Data Fusion for Gene Function Prediction. MCS 2009: 448-457 - [c2]Matteo Re, Giorgio Valentini:
Comparing early and late data fusion methods for gene function prediction. WIRN 2009: 197-207 - [p1]Matteo Re, Giorgio Valentini:
Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources. Applications of Supervised and Unsupervised Ensemble Methods 2009: 79-91 - 2007
- [j1]Paolo D'Onorio De Meo, Danilo Carrabino, Nico Sanna, Tiziana Castrignanò, Giorgio Grillo, Flavio Licciulli, Sabino Liuni, Matteo Re, Flavio Mignone, Graziano Pesole:
A high performance grid-web service framework for the identification of 'conserved sequence tags'. Future Gener. Comput. Syst. 23(3): 371-381 (2007) - [c1]Matteo Ré, Giulio Pavesi:
Signal Processing in Comparative Genomics. WILF 2007: 544-550
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