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Disambiguation of "Valentini, Giorgio"

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Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources.

, and . Applications of Supervised and Unsupervised Ensemble Methods, volume 245 of Studies in Computational Intelligence, Springer, (2009)

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Luzia Valentini

Hildburg Valentini

Erich Valentini

Riccardo Valentini

Valentini Georgiadou

 

Other publications of authors with the same name

An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction., and . MCS, volume 5997 of Lecture Notes in Computer Science, page 294-303. Springer, (2010)Lung nodules detection and classification., , and . ICIP (1), page 1117-1120. IEEE, (2005)Notes on hierarchical ensemble methods for DAG-structured taxonomies.. CoRR, (2014)Feature selection combined with random subspace ensemble for gene expression based diagnosis of malignancies, , and . Biological and Artificial Intelligence Environments: 15th Italian Workshop on Neural Nets, WIRN VIETRI 2004, page 29--35. Springer, (2005)A Fast Ranking Algorithm for Predicting Gene Functions in Biomolecular Networks., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 9 (6): 1812-1818 (2012)True Path Rule Hierarchical Ensembles for Genome-Wide Gene Function Prediction.. IEEE ACM Trans. Comput. Biol. Bioinform., 8 (3): 832-847 (2011)Heterogeneous data integration methods for patient similarity networks., , , , , , , , and . Briefings Bioinform., (2022)Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative., , , , , , , , , and 13 other author(s). CoRR, (2022)Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions., , , , and . CIBB, volume 11925 of Lecture Notes in Computer Science, page 80-87. Springer, (2018)Learning node labels with multi-category Hopfield networks., , and . Neural Comput. Appl., 27 (6): 1677-1692 (2016)