Journals

• 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, A Hussain Cognitive Computation 2024

• Interpreting black-box models: a review on explainable artificial intelligence
  V Hassija, V Chamola, A Mahapatra, A Singal, D Goel, K Huang, S Scardapane, I Spinelli, M Mahmud, A Hussain Cognitive Computation 2023

• Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks
  I Spinelli, R Bianchini, S Scardapane Neural Networks 2023

• Re-identification 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 2022

• A meta-learning approach for training explainable graph neural networks
  I Spinelli, S Scardapane, A Uncini IEEE Transactions on Neural Networks and Learning Systems 2022

• Fairdrop: Biased edge dropout for enhancing fairness in graph representation learning
  I Spinelli, S Scardapane, A Hussain, A Uncini IEEE Transactions on Artificial Intelligence 2021

• Distributed training of graph convolutional networks
  S Scardapane, I Spinelli, P Di Lorenzo IEEE Transactions on Signal and Information Processing over Networks 2020

• Adaptive propagation graph convolutional network
  I Spinelli, S Scardapane, A Uncini IEEE Transactions on Neural Networks and Learning Systems 2020

• Missing data imputation with adversarially-trained graph convolutional networks
  I Spinelli, S Scardapane, A Uncini Neural Networks 2020

Conferences

• From latent graph to latent topology inference: differentiable cell complex module
  C Battiloro*, I Spinelli*, L Telyatnikov, M Bronstein, S Scardapane, P Di Lorenzo ICLR 2024

• ICML 2023 Topological Deep Learning Challenge: Design and Results
  M Papillon et. al. PMLR 2023

• Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability
  I Spinelli, M Guerra, FM Bianchi, S Scardapane Proceedings of ESANN 2023

• Explainability in subgraphs-enhanced Graph Neural Networks
  M Guerra, I Spinelli, S Scardapane, FM Bianchi Proceedings of the Northern Lights Deep Learning Workshop 2023

Book Chapters

• Efficient data augmentation using graph imputation neural networks
  I Spinelli, S Scardapane, M Scarpiniti, A Uncini Progresses in Artificial Intelligence and Neural Systems 2020