According to our database1, Matteo Ré authored at least 27 papers between 2007 and 2016.
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RANKS: a flexible tool for node label ranking and classification in biological networks.
Within network learning on big graphs using secondary memory-based random walk kernels.
Proceedings of the Complex Networks & Their Applications V - Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016), Milan, Italy, November 30, 2016
A Hierarchical Ensemble Method for DAG-Structured Taxonomies.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015
Prediction of Human Gene - Phenotype Associations by Exploiting the Hierarchical Structure of the Human Phenotype Ontology.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.
Artificial Intelligence in Medicine, 2014
Network-Based Drug Ranking and Repositioning with Respect to DrugBank Therapeutic Categories.
IEEE/ACM Trans. Comput. Biology Bioinform., 2013
A neural network algorithm for semi-supervised node label learning from unbalanced data.
Neural Networks, 2013
A Fast Ranking Algorithm for Predicting Gene Functions in Biomolecular Networks.
IEEE/ACM Trans. Comput. Biology Bioinform., 2012
Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference.
Machine Learning, 2012
Cancer module genes ranking using kernelized score functions.
BMC Bioinformatics, 2012
Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories.
Proceedings of the Bioinformatics Research and Applications - 8th International Symposium, 2012
Random Walking on Functional Interaction Networks to Rank Genes Involved in Cancer.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012
A Novel Ensemble Technique for Protein Subcellular Location Prediction.
Proceedings of the Ensembles in Machine Learning Applications, 2011
Comparing early and late data fusion methods for gene expression prediction.
Soft Comput., 2011
Identification of promoter regions in genomic sequences by 1-dimensional constraint clustering.
Proceedings of the Neural Nets WIRN11, 2011
Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction.
Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010
Noise tolerance of Multiple Classifier Systems in data integration-based gene function prediction.
J. Integrative Bioinformatics, 2010
Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines.
An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010
Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources.
Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009
A stability-based algorithm to validate hierarchical clusters of genes.
Accurate discrimination of conserved coding and non-coding regions through multiple indicators of evolutionary dynamics.
BMC Bioinformatics, 2009
Detecting conserved coding genomic regions through signal processing of nucleotide substitution patterns.
Artificial Intelligence in Medicine, 2009
Comparing early and late data fusion methods for gene function prediction.
Proceedings of the Neural Nets WIRN09, 2009
Ensemble Based Data Fusion for Gene Function Prediction.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009
A high performance grid-web service framework for the identification of 'conserved sequence tags'.
Future Generation Comp. Syst., 2007
Signal Processing in Comparative Genomics.
Proceedings of the Applications of Fuzzy Sets Theory, 2007