Interpreting black-box models: a review on explainable artificial intelligence V Hassija, V Chamola, A Mahapatra, A Singal, D Goel, K Huang, ... Cognitive Computation 16 (1), 45-74, 2024 | 359 | 2024 |
Missing data imputation with adversarially-trained graph convolutional networks I Spinelli, S Scardapane, A Uncini Neural Networks 129, 249-260, 2020 | 163 | 2020 |
Fairdrop: Biased edge dropout for enhancing fairness in graph representation learning I Spinelli, S Scardapane, A Hussain, A Uncini IEEE Transactions on Artificial Intelligence 3 (3), 344-354, 2021 | 116 | 2021 |
Adaptive propagation graph convolutional network I Spinelli, S Scardapane, A Uncini IEEE Transactions on Neural Networks and Learning Systems 32 (10), 4755-4760, 2020 | 95 | 2020 |
Distributed training of graph convolutional networks S Scardapane, I Spinelli, P Di Lorenzo IEEE Transactions on Signal and Information Processing over Networks 7, 87-100, 2020 | 40 | 2020 |
A meta-learning approach for training explainable graph neural networks I Spinelli, S Scardapane, A Uncini IEEE Transactions on Neural Networks and Learning Systems 35 (4), 4647-4655, 2022 | 24 | 2022 |
From latent graph to latent topology inference: Differentiable cell complex module C Battiloro, I Spinelli, L Telyatnikov, M Bronstein, S Scardapane, ... arXiv preprint arXiv:2305.16174, 2023 | 14 | 2023 |
Machine un-learning: an overview of techniques, applications, and future directions S Sai, U Mittal, V Chamola, K Huang, I Spinelli, S Scardapane, Z Tan, ... Cognitive Computation 16 (2), 482-506, 2024 | 7 | 2024 |
Efficient data augmentation using graph imputation neural networks I Spinelli, S Scardapane, M Scarpiniti, A Uncini Progresses in Artificial Intelligence and Neural Systems, 57-66, 2020 | 7 | 2020 |
TopoX: a suite of Python packages for machine learning on topological domains M Hajij, M Papillon, F Frantzen, J Agerberg, I AlJabea, R Ballester, ... arXiv preprint arXiv:2402.02441, 2024 | 5 | 2024 |
ICML 2023 topological deep learning challenge: design and results M Papillon, M Hajij, A Myers, F Frantzen, G Zamzmi, H Jenne, J Mathe, ... Topological, Algebraic and Geometric Learning Workshops 2023, 3-8, 2023 | 5 | 2023 |
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks I Spinelli, R Bianchini, S Scardapane Neural Networks 167, 159-167, 2023 | 4 | 2023 |
Explainability in subgraphs-enhanced Graph Neural Networks M Guerra, I Spinelli, S Scardapane, FM Bianchi Proceedings of the Northern Lights Deep Learning Workshop 4, 2023 | 3 | 2023 |
MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization M Pappa, L Collorone, G Ficarra, I Spinelli, F Galasso arXiv preprint arXiv:2405.03803, 2024 | 2 | 2024 |
Reidentification of Objects From Aerial Photos With Hybrid Siamese Neural Networks A Devoto, I Spinelli, F Murabito, F Chiovoloni, R Musmeci, S Scardapane IEEE Transactions on Industrial Informatics 19 (3), 2997-3005, 2022 | 2 | 2022 |
Length-Aware Motion Synthesis via Latent Diffusion A Sampieri, A Palma, I Spinelli, F Galasso arXiv preprint arXiv:2407.11532, 2024 | 1 | 2024 |
Spatio-temporal transformers for decoding neural movement control B Candelori, G Bardella, I Spinelli, S Ramawat, P Pani, S Ferraina, ... bioRxiv, 2024.04. 15.589534, 2024 | 1 | 2024 |
Social EgoMesh Estimation L Scofano, A Sampieri, E De Matteis, I Spinelli, F Galasso arXiv preprint arXiv:2411.04598, 2024 | | 2024 |
OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras MRU Rahman, JH Giraldo, I Spinelli, S Lathuilière, F Galasso arXiv preprint arXiv:2408.09424, 2024 | | 2024 |
Following the Human Thread in Social Navigation L Scofano, A Sampieri, T Campari, V Sacco, I Spinelli, L Ballan, F Galasso arXiv preprint arXiv:2404.11327, 2024 | | 2024 |