| A deep learning approach to the screening of oncogenic gene fusions in humans M Lovino, G Urgese, E Macii, S Di Cataldo, E Ficarra International journal of molecular sciences 20 (7), 1645, 2019 | 3 | 2019 |
| DEEPrior: a deep learning tool for the prioritization of gene fusions M Lovino, MS Ciaburri, G Urgese, S Di Cataldo, E Ficarra Bioinformatics 36 (10), 3248-3250, 2020 | 1 | 2020 |
| Exploiting Gene Expression Profiles for the Automated Prediction of Connectivity between Brain Regions I Roberti, M Lovino, S Di Cataldo, E Ficarra, G Urgese International Journal of Molecular Sciences 20 (8), 2035, 2019 | 1 | 2019 |
| Unsupervised Multi-omic Data Fusion: The Neural Graph Learning Network P Barbiero, M Lovino, M Siviero, G Ciravegna, V Randazzo, E Ficarra, ... International Conference on Intelligent Computing, 172-182, 2020 | | 2020 |
| Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models M Lovino, G Bontempo, G Cirrincione, E Ficarra International Conference on Intelligent Computing, 32-42, 2020 | | 2020 |
| Predicting the Oncogenic Potential of Gene Fusions Using Convolutional Neural Networks M Lovino, G Urgese, E Macii, S Di Cataldo, E Ficarra International Meeting on Computational Intelligence Methods for …, 2018 | | 2018 |
| Supplementary Material DEEPrior: a deep learning tool for the prioritization of gene fusions M Lovino, M Ciaburri, G Urgese, S Di Cataldo, E Ficarra | | |
