Marco Frasca
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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
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
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
COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in Graphs
A Bertoni, M Frasca, G Valentini
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
Deep neural networks compression: A comparative survey and choice recommendations
GC Marinó, A Petrini, D Malchiodi, M Frasca
Neurocomputing 520, 152-170, 2023
RANKS: a flexible tool for node label ranking and classification in biological networks
G Valentini, G Armano, M Frasca, J Lin, M Mesiti, M Re
Bioinformatics 32 (18), 2872-2874, 2016
UNIPred: Unbalance-aware Network Integration and Prediction of protein functions
M Frasca, A Bertoni, G Valentini
Journal of Computational Biology 22 (12), 1057-1074, 2015
Multitask protein function prediction through task dissimilarity
M Frasca, NC Bianchi
IEEE/ACM transactions on computational biology and bioinformatics 16 (5 …, 2017
Automated gene function prediction through gene multifunctionality in biological networks
M Frasca
Neurocomputing 162, 48-56, 2015
Protein function prediction as a graph-transduction game
S Vascon, M Frasca, R Tripodi, G Valentini, M Pelillo
Pattern Recognition Letters 134, 96-105, 2020
A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections
E Casiraghi, V Huber, M Frasca, M Cossa, M Tozzi, L Rivoltini, BE Leone, ...
BMC bioinformatics 19, 75-91, 2018
A neural network based algorithm for gene expression prediction from chromatin structure
M Frasca, G Pavesi
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
A hierarchical ensemble method for dag-structured taxonomies
PN Robinson, M Frasca, S Köhler, M Notaro, M Re, G Valentini
Multiple Classifier Systems: 12th International Workshop, MCS 2015, Günzburg …, 2015
parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants
A Petrini, M Mesiti, M Schubach, M Frasca, D Danis, M Re, G Grossi, ...
GigaScience 9 (5), giaa052, 2020
COSNet: An R package for label prediction in unbalanced biological networks
M Frasca, G Valentini
Neurocomputing 237, 397-400, 2017
Learning node labels with multi-category hopfield networks
M Frasca, S Bassis, G Valentini
Neural Computing and Applications 27, 1677-1692, 2016
Artificial intelligence in predicting clinical outcome in COVID-19 patients from clinical, biochemical and a qualitative chest X-ray scoring system
A Esposito, E Casiraghi, F Chiaraviglio, A Scarabelli, E Stellato, ...
Reports in Medical Imaging, 27-39, 2021
Identification of breast cancer subtype-specific biomarkers by integrating copy number alterations and gene expression profiles
C Cava, M Pisati, M Frasca, I Castiglioni
Medicina 57 (3), 261, 2021
Compression strategies and space-conscious representations for deep neural networks
GC Marinò, G Ghidoli, M Frasca, D Malchiodi
2020 25th International Conference on Pattern Recognition (ICPR), 9835-9842, 2021
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