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

• Length-Aware Motion Synthesis via Latent Diffusion
  A Sampieri, A Palma, I Spinelli, F Galasso In Proc. of the European Conference on Computer Vision (ECCV) 2024

• OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras MRU Rahman, JH Giraldo, I Spinelli, S Lathuilière, F Galasso In Proc. of the International Conference on Pattern Recognition (ICPR) 2024

• From latent graph to latent topology inference: differentiable cell complex module
  C Battiloro*, I Spinelli*, L Telyatnikov, M Bronstein, S Scardapane, P Di Lorenzo In Proc. of the International Conference on Learning Representation (ICLR) 2024

• Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability
  I Spinelli, M Guerra, FM Bianchi, S Scardapane In Proc. of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) 2023

Workshops

• ICML 2023 Topological Deep Learning Challenge: Design and Results
  M Papillon, I Spinelli et al. In Proc. of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML) 2023

• Explainability in subgraphs-enhanced Graph Neural Networks
  M Guerra, I Spinelli, S Scardapane, FM Bianchi In Proc. of the Northern Lights Deep Learning Workshop (NLDL) 2023

• ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo
  Gaetano Saurio, Marco Muscas, Indro Spinelli, Valerio Rughetti, Irma Della Giovampaola, Simone Scardapane In Proc. of the International Conference on Image Analysis and Processing Workshops, In Proc. of the International Conference on Image Analysis and Processing Workshops (ICIAP) 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