Giorgio Valentini
Giorgio Valentini
Computer Science Dept. - University of Milan
Verified email at - Homepage
Cited by
Cited by
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
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, 1-23, 2019
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
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
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
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
Bio-molecular cancer prediction with random subspace ensembles of support vector machines
A Bertoni, R Folgieri, G Valentini
Neurocomputing 63, 535-539, 2005
Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes
JT Reese, H Blau, E Casiraghi, T Bergquist, JJ Loomba, TJ Callahan, ...
EBioMedicine 87, 2023
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
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments
E Casiraghi, D Malchiodi, G Trucco, M Frasca, L Cappelletti, T Fontana, ...
IEEE Access 8, 196299-196325, 2020
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
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, 2014
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