Matteo Re
Matteo Re
Dipartimento di Informatica, Università degli studi di Milano
Verified email at di.unimi.it
TitleCited byYear
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ...
Genome biology 17 (1), 184, 2016
1992016
Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference
N Cesa-Bianchi, M Re, G Valentini
Machine Learning 88 (1-2), 209-241, 2012
762012
Ensemble Methods
M Re, G Valentini
Advances in machine learning and data mining for astronomy, 563-593, 2012
542012
A neural network algorithm for semi-supervised node label learning from unbalanced data
M Frasca, A Bertoni, M Re, G Valentini
Neural Networks 43, 84-98, 2013
462013
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods
G Valentini, A Paccanaro, H Caniza, AE Romero, M Re
Artificial Intelligence in Medicine 61 (2), 63-78, 2014
432014
A fast ranking algorithm for predicting gene functions in biomolecular networks
M Re, M Mesiti, G Valentini
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 9 …, 2012
432012
Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction.
M Re, G Valentini
MLSB, 98-111, 2010
382010
Network-based drug ranking and repositioning with respect to DrugBank therapeutic categories
M Re, G Valentini
IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 (6 …, 2013
372013
RANKS: a flexible tool for node label ranking and classification in biological networks
G Valentini, G Armano, M Frasca, J Lin, M Mesiti, M Re
Bioinformatics 32 (18), 2872-2874, 2016
292016
Cancer module genes ranking using kernelized score functions
M Re, G Valentini
BMC bioinformatics 13 (14), S3, 2012
272012
Weighted True Path Rule: a multilabel hierarchical algorithm for gene function prediction
G Valentini, M Re
European Conference on Machine Learning and Principles and Practice of …, 2009
242009
Ensembles in machine learning applications
O Okun, G Valentini, M Re
Springer Science & Business Media, 2011
222011
Imbalance-aware machine learning for predicting rare and common disease-associated non-coding variants
M Schubach, M Re, PN Robinson, G Valentini
Scientific reports 7 (1), 2959, 2017
212017
Regeneration-associated WNT signaling is activated in long-term reconstituting AC133bright acute myeloid leukemia cells
A Beghini, F Corlazzoli, L Del Giacco, M Re, F Lazzaroni, M Brioschi, ...
Neoplasia (New York, NY) 14 (12), 1236, 2012
212012
Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines
M Re, G Valentini
Neurocomputing 73 (7-9), 1533-1537, 2010
192010
Think globally and solve locally: secondary memory-based network learning for automated multi-species function prediction
M Mesiti, M Re, G Valentini
GigaScience 3 (1), 5, 2014
162014
Large scale ranking and repositioning of drugs with respect to DrugBank therapeutic categories
M Re, G Valentini
International Symposium on Bioinformatics Research and Applications, 225-236, 2012
142012
A hierarchical ensemble method for dag-structured taxonomies
PN Robinson, M Frasca, S Köhler, M Notaro, M Re, G Valentini
International Workshop on Multiple Classifier Systems, 15-26, 2015
132015
Random walking on functional interaction networks to rank genes involved in cancer
M Re, G Valentini
IFIP International Conference on Artificial Intelligence Applications and …, 2012
132012
Ensemble based data fusion for gene function prediction
M Re, G Valentini
International Workshop on Multiple Classifier Systems, 448-457, 2009
122009
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