Indro Spinelli | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Spatio-temporal transformers for decoding neural movement control	JOURNAL OF NEURAL ENGINEERING	2025
ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo	Image Analysis and Processing - ICIAP 2023 Workshops	2024
From latent graph to latent topology inference: differentiable cell complex module	International conference on learning representations - Proceedings (ICLR 2024)	2024
Length-Aware Motion Synthesis via Latent Diffusion	Lecture Notes in Computer Science	2024
Machine Un-learning. An overview of techniques, applications, and future directions	COGNITIVE COMPUTATION	2023
Interpreting black-box models. A review on explainable artificial intelligence	COGNITIVE COMPUTATION	2023
Drop edges and adapt. A fairness enforcing fine-tuning for graph neural networks	NEURAL NETWORKS	2023
ICML 2023 topological deep learning challenge. Design and results	Proceedings of Machine Learning Research	2023
Explainability in subgraphs-enhanced Graph Neural Networks		2023
Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability	ESANN 2023- Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning	2023
Re-identification of objects from aerial photos with hybrid siamese neural networks	IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS	2022
A Meta-Learning Approach for Training Explainable Graph Neural Networks	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS	2022
Efficient data augmentation using graph imputation neural networks	Progresses in Artificial Intelligence and Neural Systems	2021
Distributed training of graph convolutional networks	IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS	2021
Fairdrop. Biased edge dropout for enhancing fairness in graph representation learning	IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE	2021
Adaptive propagation graph convolutional network	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS	2020
Missing data imputation with adversarially-trained graph convolutional networks	NEURAL NETWORKS	2020