| A review of computational strategies for denoising and imputation of single-cell transcriptomic data L Patruno, D Maspero, F Craighero, F Angaroni, M Antoniotti, A Graudenzi Briefings in bioinformatics 22 (4), bbaa222, 2021 | 61 | 2021 |
| Unity is strength: Improving the detection of adversarial examples with ensemble approaches F Craighero, F Angaroni, F Stella, C Damiani, M Antoniotti, A Graudenzi Neurocomputing 554, 126576, 2023 | 12 | 2023 |
| Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems L Patruno, F Craighero, D Maspero, A Graudenzi, C Damiani Information and Computation 281, 104798, 2021 | 7 | 2021 |
| On the use of topological features of metabolic networks for the classification of cancer samples J Machicao, F Craighero, D Maspero, F Angaroni, C Damiani, ... Current Genomics 22 (2), 88-97, 2021 | 7 | 2021 |
| Investigating the compositional structure of deep neural networks F Craighero, F Angaroni, A Graudenzi, F Stella, M Antoniotti Machine Learning, Optimization, and Data Science: 6th International …, 2020 | 5 | 2020 |
| Understanding Deep Learning with Activation Pattern Diagrams. F Craighero, A Graudenzi, F Angaroni, F Stella, M Antoniotti XAI. it@ AI* IA, 119-126, 2020 | 2 | 2020 |
| Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations MV Nallapareddy, F Craighero, C Gobet, F Naef, P Vandergheynst Proceedings of the 19th Machine Learning in Computational Biology meeting …, 2024 | | 2024 |
| Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security E Salimbeni, F Craighero, R Khasanova, M Vasic, P Vandergheynst ICLR 2024 Workshop on Secure and Trustworthy Large Language Models, 2024 | | 2024 |
| Interpretable Inflammation Landscape of Circulating Immune cells L Jiménez-Gracia, D Maspero, S Aguilar-Fernández, F Craighero, S Ruiz, ... bioRxiv, 2023.11. 28.568839, 2023 | | 2023 |
| Three Perspectives on Anomaly Detection in Deep Learning F Craighero Università degli Studi di Milano-Bicocca, 2023 | | 2023 |
| LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution G Ascolani, F Angaroni, D Maspero, F Craighero, NLS Bhavesh, R Piazza, ... BMC bioinformatics 24 (1), 99, 2023 | | 2023 |
Alex GraudenziDept. of Informatics, Systems and Communication, Univ. of Milan-BicoccaAdresă de e-mail confirmată pe unimib.it