Giorgio Valentini
Giorgio Valentini
Computer Science Dept. - University of Milan
Email verificata su - Home page
Citata da
Citata da
Ensembles of learning machines
G Valentini, F Masulli
Neural Nets: 13th Italian Workshop on Neural Nets, WIRN VIETRI 2002 Vietri …, 2002
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Y Jiang, TR Oron, ..., G Valentini, ..., I Friedberg, P Radivojac
Genome Biology 17 (184), 2016
Bias-variance analysis of support vector machines for the development of SVM-based ensemble methods
G Valentini, TG Dietterich
Journal of Machine Learning Research 5 (Jul), 725-775, 2004
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20 (1), 1-23, 2019
A Whole-Genome Analysis Framework for Effective Identification of Pathogenic Regulatory Variants in Mendelian Disease
D Smedley, M Schubach, JOB Jacobsen, S Köhler, T Zemojtel, ...
American Journal of Human Genetics 99 (3), 595-606, 2016
True Path Rule hierarchical ensembles for genome-wide gene function prediction
G Valentini
Computational Biology and Bioinformatics, IEEE/ACM Transactions on 8 (3 …, 2011
Ensemble methods: a review
M Re, G Valentini
Advances in Machine Learning and Data Mining for Astronomy, 563-594, 2012
Cancer recognition with bagged ensembles of support vector machines
G Valentini, M Muselli, F Ruffino
Neurocomputing 56, 461-466, 2004
Fuzzy ensemble clustering based on random projections for DNA microarray data analysis
R Avogadri, G Valentini
Artificial Intelligence in Medicine 45 (2-3), 173-183, 2009
Low bias bagged support vector machines
G Valentini, TG Dietterich
Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003
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), 209-241, 2012
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
Bio-molecular cancer prediction with random subspace ensembles of support vector machines
A Bertoni, R Folgieri, G Valentini
Neurocomputing 63, 535-539, 2005
An experimental bias-variance analysis of SVM ensembles based on resampling techniques
G Valentini
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 35 …, 2005
GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology
H Caniza, AE Romero, S Heron, H Yang, A Devoto, M Frasca, M Mesiti, ...
Bioinformatics 30 (15), 2235-2236, 2014
Gene expression data analysis of human lymphoma using support vector machines and output coding ensembles
G Valentini
Artificial Intelligence in Medicine 26 (3), 281-304, 2002
Comparing decomposition methods for classification
F Masulli, G Valentini
KES'2000. Fourth International Conference on Knowledge-Based Intelligent …, 2000
Support vector machines for candidate nodules classification
P Campadelli, E Casiraghi, G Valentini
Neurocomputing 68, 281-288, 2005
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
True path rule hierarchical ensembles
G Valentini
International Workshop on Multiple Classifier Systems, 232-241, 2009
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