Matteo Ré
Orcid: 0000-0002-2907-2847
According to our database1,
Matteo Ré
authored at least 28 papers
between 2007 and 2018.
Collaborative distances:
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Bibliography
2018
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
2016
<i>RANKS</i>: a flexible tool for node label ranking and classification in biological networks.
Bioinform., 2016
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
2015
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
2014
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.
Artif. Intell. Medicine, 2014
2013
Network-Based Drug Ranking and Repositioning with Respect to DrugBank Therapeutic Categories.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
A neural network algorithm for semi-supervised node label learning from unbalanced data.
Neural Networks, 2013
2012
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference.
Mach. Learn., 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
Proceedings of the Artificial Intelligence Applications and Innovations, 2012
2011
Proceedings of the Ensembles in Machine Learning Applications, 2011
Soft Comput., 2011
Identification of promoter regions in genomic sequences by 1-dimensional constraint clustering.
Proceedings of the Neural Nets WIRN11, 2011
2010
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. Integr. Bioinform., 2010
Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines.
Neurocomputing, 2010
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
2009
Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009
Int. J. Knowl. Eng. Soft Data Paradigms, 2009
Accurate discrimination of conserved coding and non-coding regions through multiple indicators of evolutionary dynamics.
BMC Bioinform., 2009
Detecting conserved coding genomic regions through signal processing of nucleotide substitution patterns.
Artif. Intell. Medicine, 2009
Proceedings of the Neural Nets WIRN09, 2009
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009
2007
A high performance grid-web service framework for the identification of 'conserved sequence tags'.
Future Gener. Comput. Syst., 2007
Proceedings of the Applications of Fuzzy Sets Theory, 2007