IRIS Institutional Research Information System - AIR Archivio Istituzionale della Ricerca

IRIS è il sistema di gestione integrata dei dati della ricerca (persone, progetti, pubblicazioni, attività) adottato dall'Università degli Studi di Milano.

AIR nasce in UNIMI nel 2006 con lo scopo di raccogliere, documentare e conservare le informazioni sulla produzione scientifica dell'Università degli Studi di Milano e costituisce di fatto l'Anagrafe della ricerca dell'Ateneo.

VALENTINI, GIORGIO

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Dettaglio

Nome completo

VALENTINI, GIORGIO

Afferenza

Dipartimento di Informatica Giovanni Degli Antoni

Pubblicazioni

Risultati 1 - 20 di 156 (tempo di esecuzione: 0.001 secondi).

	Titolo	Data di pubblicazione	Autori	Tipo	File	Abstract
1	A cost-sensitive neural algorithm to predict gene functions using large biological networks	15-lug-2011	FRASCA, MARCO ; BERTONI, ALBERTO ; VALENTINI, GIORGIO	Conference Object	-
2	A fast ranking algorithm for predicting gene functions in biomolecular networks	dic-2012	RE', MATTEO ; MESITI, MARCO ; VALENTINI, GIORGIO	Article (author)	Open Access
3	A neural network algorithm for semi-supervised node label learning from unbalanced data	2013	FRASCA, MARCO ; BERTONI, ALBERTO ; RE', MATTEO ; VALENTINI, GIORGIO	Article (author)	Open Access
4	A novel approach to the problem of non-uniqueness of the solution in hierarchical clustering	lug-2013	CATTINELLI, ISABELLA ; VALENTINI, GIORGIO ; E. Paulesu; BORGHESE, NUNZIO ALBERTO	Article (author)	-
5	A stability-based algorithm to validate hierarchical clusters of genes	2009	AVOGADRI, ROBERTO ; M. Brioschi; F. Ferrazzi; RE', MATTEO ; BEGHINI, ALESSANDRO ; VALENTINI, GIORGIO	Article (author)	-
6	An algorithm to assess the reliability of hierarchical clusters in gene expression data	2008	AVOGADRI, ROBERTO ; M. Brioschi; RUFFINO, FRANCESCA ; F. Ferrazzi; BEGHINI, ALESSANDRO ; VALENTINI, GIORGIO	Book Part (author)	-
7	An efficient supervised method to integrate multiple biological networks	2011	BERTONI, ALBERTO ; FRASCA, MARCO ; VALENTINI, GIORGIO	Book Part (author)	Open Access	-
8	An experimental analysis of the dependence among codeword bit errors in ECOC learning machines	mar-2004	F. Masulli; VALENTINI, GIORGIO	Article (author)	-
9	An experimental comparison of Hierarchical Bayes and True Path Rule ensembles for protein function prediction	2010	RE', MATTEO ; VALENTINI, GIORGIO	Book Part (author)	-
10	An experimental comparison of Random Subspace and Random Projection Ensembles of Support Vector Machines for the classification of gene expression data	2007	BERTONI, ALBERTO ; FOLGIERI, RAFFAELLA ; VALENTINI, GIORGIO	Book Part (author)	-	-
11	An unbalance-aware network integration method for gene function prediction	lug-2013	FRASCA, MARCO ; BERTONI, ALBERTO ; VALENTINI, GIORGIO	Conference Object	Open Access
12	Analysis of bio-molecular networks through semi-supervised graph-based learning methods	dic-2014	RE', MATTEO ; MESITI, MARCO ; FRASCA, MARCO ; LIN, JIANYI ; VALENTINI, GIORGIO	Conference Object	Open Access
13	An application of low bias bagged SVMs to the classification of heterogeneous malignant tissues	2003	VALENTINI, GIORGIO	Book Part (author)	riservati
14	Applications of supervised and unsupervised ensemble methods	2010	O. Okun; VALENTINI, GIORGIO	Book (editor)	-
15	Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical and a Qualitative Chest X-Ray Scoring System	2021	ESPOSITO, ANDREA ALESSANDRO ; CASIRAGHI, ELENA ; CHIARAVIGLIO, FRANCESCA ; SCARABELLI, ALICE ; STELLATO, ELVIRA ; PLENSICH, GUIDO GIOVANNI ; LASTELLA, GIULIA ; DI MEGLIO, LETIZIA ; FUSCO, STEFANO ; AVOLA, EMANUELE ; Jachetti, Alessandro; Giannitto, Caterina; MALCHIODI, DARIO ; FRASCA, MARCO ; Beheshti, Afshin; Robinson, Peter N; VALENTINI, GIORGIO ; Forzenigo, Laura; CARRAFIELLO, GIANPAOLO	Article (author)	Open Access
16	Assessment of clusters reliability for high dimensional genomic data	2005	BERTONI, ALBERTO ; FOLGIERI, RAFFAELLA ; RUFFINO, FRANCESCA ; VALENTINI, GIORGIO	Book Part (author)	-
17	An automated pipeline for multi-species protein function prediction from the UniProt Knowledgebase	lug-2014	RE', MATTEO ; MESITI, MARCO ; VALENTINI, GIORGIO	Conference Object	Open Access
18	Bagged ensembles of Support Vector Machines for gene expression data analysis	2003	VALENTINI, GIORGIO ; M. Muselli; F. Ruffino	Book Part (author)	riservati
19	Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks	2020	CAPPELLETTI, LUCA ; PETRINI, ALESSANDRO ; GLIOZZO, JESSICA ; CASIRAGHI, ELENA ; Schubach M.; Kircher M.; VALENTINI, GIORGIO	Book Part (author)	riservati
20	Bias-variance analysis of Support Vector Machines for the development of SVM-based ensemble methods	lug-2004	VALENTINI, GIORGIO ; T. G. Dietterich	Article (author)	-