| A two-stage GAN for high-resolution retinal image generation and segmentation P Andreini, G Ciano, S Bonechi, C Graziani, V Lachi, A Mecocci, A Sodi, ... Electronics 11 (1), 60, 2021 | 53 | 2021 |
| Weisfeiler–Lehman goes dynamic: An analysis of the expressive power of graph neural networks for attributed and dynamic graphs S Beddar-Wiesing, GA D’Inverno, C Graziani, V Lachi, A Moallemy-Oureh, ... Neural Networks 173, 106213, 2024 | 8 | 2024 |
| A mixed statistical and machine learning approach for the analysis of multimodal trail making test data N Pancino, C Graziani, V Lachi, ML Sampoli, E Ștefǎnescu, M Bianchini, ... Mathematics 9 (24), 3159, 2021 | 8 | 2021 |
| A neural network approach for the analysis of reproducible ribo–seq profiles G Giacomini, C Graziani, V Lachi, P Bongini, N Pancino, M Bianchini, ... Algorithms 15 (8), 274, 2022 | 7 | 2022 |
| No PAIN no Gain: More Expressive GNNs with Paths C Graziani, T Drucks, M Bianchini, F Scarselli, T Gärtner NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | 3 | 2023 |
| Enhancing Embedding Representations of Biomedical Data using Logic Knowledge M Diligenti, F Giannini, S Fioravanti, C Graziani, M Falaschi, G Marra 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 2 | 2023 |
| Multi-stage Synthetic Image Generation for the Semantic Segmentation of Medical Images P Andreini, S Bonechi, G Ciano, C Graziani, V Lachi, N Nikoloulopoulou, ... Artificial Intelligence and Machine Learning for Healthcare: Vol. 1: Image …, 2022 | 2 | 2022 |
| Blinking Rate Comparison Between Patients with Chronic Pain and Parkinson's Disease E Stefanescu, N Pancino, C Graziani, V Lachi, M Sampoli, G Dimitri, ... EUROPEAN JOURNAL OF NEUROLOGY 29, 669-669, 2022 | 2 | 2022 |
| Point-Wise Ribosome Translation Speed Prediction with Recurrent Neural Networks P Bongini, N Pancino, V Lachi, C Graziani, G Giacomini, P Andreini, ... Mathematics 12 (3), 465, 2024 | 1 | 2024 |
| The Expressive Power of Path-Based Graph Neural Networks C Graziani, T Drucks, F Jogl, M Bianchini, T Gärtner Forty-first International Conference on Machine Learning, 0 | 1 | |
| On the expressive power of graph neural networks: beyond the Weisfeiler-Leman test C Graziani Università degli Studi di Siena, 2024 | | 2024 |
| On the Extension of the Weisfeiler-Lehman Hierarchy by WL Tests for Arbitrary Graphs S Beddar-Wiesing, GA D'Inverno, C Graziani, V Lachi, A Moallemy-Oureh 18th International Workshop on Mining and Learning with Graphs, 0 | | |
