| 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 | 401 | 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 | 84 | 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 | 72 | 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 | 67 | 2013 |
| Deep neural networks compression: A comparative survey and choice recommendations GC Marinó, A Petrini, D Malchiodi, M Frasca Neurocomputing 520, 152-170, 2023 | 66 | 2023 |
| 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 | 49 | 2011 |
| 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 | 43 | 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 | 31 | 2015 |
| 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 | 26 | 2018 |
| Multitask protein function prediction through task dissimilarity M Frasca, NC Bianchi IEEE/ACM transactions on computational biology and bioinformatics 16 (5 …, 2017 | 26 | 2017 |
| Automated gene function prediction through gene multifunctionality in biological networks M Frasca Neurocomputing 162, 48-56, 2015 | 25 | 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 | 23 | 2020 |
| 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 | 21 | 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 | 20 | 2015 |
| 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 | 17 | 2021 |
| 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 | 13 | 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 | 13 | 2021 |
| 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 | 13 | 2020 |
| Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction J Gliozzo, P Perlasca, M Mesiti, E Casiraghi, V Vallacchi, E Vergani, ... Scientific reports 10 (1), 3612, 2020 | 13 | 2020 |
| COSNet: An R package for label prediction in unbalanced biological networks M Frasca, G Valentini Neurocomputing 237, 397-400, 2017 | 13 | 2017 |
