Giorgio Valentini

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Francesco MasulliFull Professor of Computer Science, University of Genoa (ITALY)Verified email at unige.it
Peter RobinsonProfessor of Computational Biology, The Jackson Laboratory for Genomic MedicineVerified email at jax.org
Marco MesitiAssociate Professor, Università di milanoVerified email at di.unimi.it
Marco FrascaUniversity of MilanVerified email at di.unimi.it
Elena CasiraghiAssociate Professor, Computer Science Department (DI), Università degli Studi di MilanoVerified email at unimi.it
Max SchubachComputational Genome Biology, Berlin Institute of Health at Charité - Universitätsmedizin BerlinVerified email at bih-charite.de
Christopher J MungallLawrence Berkeley National LaboratoryVerified email at lbl.gov
Melissa HaendelUniversity of Colorado Anschutz Medical CampusVerified email at tislab.org
Alberto PaccanaroProfessor at Royal Holloway, University of LondonVerified email at cs.rhul.ac.uk
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di MilanoVerified email at unimi.it
Thomas DietterichDistinguished Professor (Emeritus), Computer Science, Oregon State UniversityVerified email at cs.orst.edu
Justin ReeseLawrence Berkeley National LabVerified email at lbl.gov
Damian SmedleyQueen Mary University of LondonVerified email at qmul.ac.uk
Malte SpielmannInstitute of Human Genetics, University of LübeckVerified email at uw.edu
Tiffany J CallahanColumbia UniversityVerified email at cumc.columbia.edu
Tiziana CastrignanòResearcher, University of Tuscia, Department of Ecological and Biological Sciences, Viterbo, Italy.Verified email at unitus.it
Daniel DanisThe Jackson Laboratory for Genomic MedicineVerified email at jax.org
Giuliano ArmanoAssociate Professor of Computer Science, University of CagliariVerified email at unica.it
Vida RavanmehrMD Anderson Cancer CenterVerified email at mdanderson.org

Giorgio Valentini

Computer Science Dept. - University of Milan

Verified email at di.unimi.it - Homepage

Bioinformatics Computational biology Machine Learning


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Ensembles of learning machines G Valentini, F Masulli Italian workshop on neural nets, 3-20, 2002	444	2002
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	343	2004
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	338	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), 1-23, 2019	212	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	203	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	145	2011
Cancer recognition with bagged ensembles of support vector machines G Valentini, M Muselli, F Ruffino Neurocomputing 56, 461-466, 2004	124	2004
Ensemble methods: a review M Re, G Valentini Advances in Machine Learning and Data Mining for Astronomy, 563-594, 2012	114*	2012
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	112	2009
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	102	2012
Low bias bagged support vector machines G Valentini, TG Dietterich Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003	101	2003
Bio-molecular cancer prediction with random subspace ensembles of support vector machines A Bertoni, R Folgieri, G Valentini Neurocomputing 63, 535-539, 2005	87	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	81	2005
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), 1-12, 2017	75	2017
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	68	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	68	2002
Support vector machines for candidate nodules classification P Campadelli, E Casiraghi, G Valentini Neurocomputing 68, 281-288, 2005	66	2005
Comparing decomposition methods for classification F Masulli, G Valentini KES'2000. Fourth International Conference on Knowledge-Based Intelligent …, 2000	66	2000
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	62	2013
Effectiveness of error correcting output codes in multiclass learning problems F Masulli, G Valentini International Workshop on Multiple Classifier Systems, 107-116, 2000	60	2000

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