Large-scale multi-objective influence maximisation with network downscaling E Cunegatti, G Iacca, D Bucur Parallel Problem Solving from Nature – PPSN XVII 13399, 207-220, 2022 | 4 | 2022 |
Many-objective evolutionary influence maximization: Balancing spread, budget, fairness, and time E Cunegatti, L Custode, G Iacca Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024 | 1 | 2024 |
Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations E Cunegatti, M Farina, D Bucur, G Iacca Transactions on Machine Learning Research, 2024 | 1* | 2024 |
Influence Maximization in Hypergraphs Using Multi-Objective Evolutionary Algorithms S Genetti, E Ribaga, E Cunegatti, QF Lotito, G Iacca International Conference on Parallel Problem Solving from Nature, 217-235, 2024 | | 2024 |
Neuron-centric Hebbian Learning A Ferigo, E Cunegatti, G Iacca Proceedings of the Genetic and Evolutionary Computation Conference, 87-95, 2024 | | 2024 |
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning M Farina, M Mancini, E Cunegatti, G Liu, G Iacca, E Ricci Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |