Journals
Spatio-temporal transformers for decoding neural movement control
B Candelori, G Bardella, Indro Spinelli, S Ramawat, P Pani, S Ferraina, S Scardapane
TopoX: a suite of Python packages for machine learning on topological domains
M Hajij,…, I Spinelli et al.
Adaptive token selection for scalable point cloud transformers
A Baiocchi, I Spinelli, A Nicolosi, S Scardapane
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
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
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks
I Spinelli, R Bianchini, S Scardapane
Re-identification of objects from aerial photos with hybrid siamese neural networks
A Devoto, I Spinelli, F Murabito, F Chiovoloni, R Musmeci, S Scardapane
A meta-learning approach for training explainable graph neural networks
I Spinelli, S Scardapane, A Uncini
Fairdrop: Biased edge dropout for enhancing fairness in graph representation learning
I Spinelli, S Scardapane, A Hussain, A Uncini
Distributed training of graph convolutional networks
S Scardapane, I Spinelli, P Di Lorenzo
Adaptive propagation graph convolutional network
I Spinelli, S Scardapane, A Uncini
Missing data imputation with adversarially-trained graph convolutional networks
I Spinelli, S Scardapane, A Uncini
Conferences
Following the Human Thread in Social Navigation
L Scofano, A Sampieri, T Campari, V Sacco, I Spinelli, L Ballan, F Galasso
Social EgoMesh Estimation
L Scofano, A Sampieri, E De Matteis, I Spinelli, F Galasso
Length-Aware Motion Synthesis via Latent Diffusion
A Sampieri, A Palma, I Spinelli, F Galasso
OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras
MRU Rahman, JH Giraldo, I Spinelli, S Lathuilière, F Galasso
From latent graph to latent topology inference: differentiable cell complex module
C Battiloro*, I Spinelli*, L Telyatnikov, M Bronstein, S Scardapane, P Di Lorenzo
Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability
I Spinelli, M Guerra, FM Bianchi, S Scardapane
Workshops
ICML 2023 Topological Deep Learning Challenge: Design and Results
M Papillon, …, I Spinelli et al.
Explainability in subgraphs-enhanced Graph Neural Networks
M Guerra, I Spinelli, S Scardapane, FM Bianchi
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,
Book Chapters
Efficient data augmentation using graph imputation neural networks
I Spinelli, S Scardapane, M Scarpiniti, A Uncini