FRASCA, MARCO
FRASCA, MARCO
Dipartimento di Informatica Giovanni Degli Antoni
A cost-sensitive neural algorithm to predict gene functions using large biological networks
2011 M. Frasca, A. Bertoni, G. Valentini
A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks
2018 M. Frasca, G. Grossi, J. Gliozzo, M. Mesiti, M. Notaro, P. Perlasca, A. Petrini, G. Valentini
A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks
2020 C.T. Ba, E. Casiraghi, M. Frasca, J. Gliozzo, G. Grossi, M. Mesiti, M. Notaro, P. Perlasca, A. Petrini, M. Re', G. Valentini
A Hierarchical Ensemble Method for DAG-Structured Taxonomies
2015 P.N. Robinson, M. Frasca, S. Köhler, M. Notaro, M. Re, G. Valentini
A mathematical model for the validation of gene selection methods
2011 M. Muselli, A. Bertoni, M. Frasca, A. Beghini, F. Ruffino, G. Valentini
A neural network algorithm for semi-supervised node label learning from unbalanced data
2013 M. Frasca, A. Bertoni, M. Re, G. Valentini
A neural network based algorithm for gene expression prediction from chromatin structure
2013 M. Frasca, G. Pavesi
A Neural Procedure for Gene Function Prediction
2013 M. Frasca, A. Bertoni, A. Sion
A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections
2018 E. Casiraghi, V. Huber, M. Frasca, M. Cossa, M. Tozzi, L. Rivoltini, B. Eugenio Leone, A. Villa, B. Vergani
An efficient supervised method to integrate multiple biological networks
2011 A. Bertoni, M. Frasca, G. Valentini
An unbalance-aware network integration method for gene function prediction
2013 M. Frasca, A. Bertoni, G. Valentini
Analysis of bio-molecular networks through semi-supervised graph-based learning methods
2014 M. Re, M. Mesiti, M. Frasca, J. Lin, G. Valentini
Analysis of Informative Features for Negative Selection in Protein Function Prediction
2017 M. Frasca, F. Lipreri, D. Malchiodi
Analysis of Novel Annotations in the Gene Ontology for Boosting the Selection of Negative Examples
2019 M. Sepehri, M. Frasca
Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical and a Qualitative Chest X-Ray Scoring System
2021 A. Esposito, E. Casiraghi, F. Chiaraviglio, A. Scarabelli, E. Stellato, G. Plensich, G. Lastella, L. Di Meglio, S. Fusco, E. Avola, A. Jachetti, C. Giannitto, D. Malchiodi, M. Frasca, A. Beheshti, P.N. Robinson, G. Valentini, L. Forzenigo, G. Carrafiello
Automated gene function prediction through gene multifunctionality in biological networks
2015 M. Frasca
Combining Clinical and Genetic Data to Predict Response to Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients: A Precision Medicine Approach
2023 L. Ferrè, F. Clarelli, B. Pignolet, E. Mascia, M. Frasca, S. Santoro, M. Sorosina, F. Bucciarelli, L. Moiola, V. Martinelli, G. Comi, R. Liblau, M. Filippi, G. Valentini, F. Esposito
Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions
2020 M. Frasca, M. Sepehri, A. Petrini, G. Grossi, G. Valentini
Compression strategies and space-conscious representations for deep neural networks
2020 G.C. Marino, G. Ghidoli, M. Frasca, D. Malchiodi
COSNet : a cost sensitive neural network for semi-supervised learning in graphs
2011 A. Bertoni, M. Frasca, G. Valentini