Sfoglia per Autore
One run to attack them all: finding simultaneously multiple targeted adversarial perturbations
2021-01-01 Custode, Leonardo Lucio; Iacca, Giovanni
Genetic Improvement of Routing Protocols for Delay Tolerant Networks
2021-01-01 Lorandi, Michela; Custode, Leonardo Lucio; Iacca, Giovanni
Black-box adversarial attacks using evolution strategies
2021-01-01 Qiu, H.; Custode, L. L.; Iacca, G.
Genetic improvement of routing in delay tolerant networks
2021-01-01 Lorandi, M.; Custode, L. L.; Iacca, G.
Evolutionary neural architecture search for remaining useful life prediction
2021-01-01 Mo, Hyunho; Custode, Leonardo Lucio; Iacca, Giovanni
A signal-centric perspective on the evolution of symbolic communication
2021-01-01 Lotito, Q. F.; Custode, L. L.; Iacca, G.
A co-evolutionary approach to interpretable reinforcement learning in environments with continuous action spaces
2021-01-01 Custode, Leonardo Lucio; Iacca, Giovanni
Quality Diversity Evolutionary Learning of Decision Trees
2022-01-01 Ferigo, Andrea; Custode, Leonardo Lucio; Iacca, Giovanni
Neuroevolution of Spiking Neural P Systems
2022-01-01 Custode, Leonardo Lucio; Mo, Hyunho; Iacca, Giovanni
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data
2022-01-01 Custode, Leonardo Lucio; Mento, Federico; Afrakhteh, Sajjad; Tursi, Francesco; Smargiassi, Andrea; Inchingolo, Riccardo; Perrone, Tiziano; Iacca, Giovanni; Demi, Libertario
Genetic Improvement of TCP Congestion Avoidance
2022-01-01 Carbognin, Alberto; Custode, Leonardo Lucio; Iacca, Giovanni
Interpretable AI for policy-making in pandemics
2022-01-01 Custode, Leonardo Lucio; Iacca, Giovanni
Interpretable pipelines with evolutionary optimized modules for reinforcement learning tasks with visual inputs
2022-01-01 Custode, Leonardo Lucio; Iacca, Giovanni
Evolutionary Optimization of Spiking Neural P Systems for Remaining Useful Life Prediction
2022-01-01 Custode, Leonardo Lucio; Mo, Hyunho; Ferigo, Andrea; Iacca, Giovanni
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data
2022-01-01 Custode, Leonardo Lucio; Mento, Federico; Afrakhteh, Sajjad; Tursi, Francesco; Smargiassi, Andrea; Inchingolo, Riccardo; Perrone, Tiziano; Demi, Libertario; Iacca, Giovanni
Towards Interpretable Policies in Multi-agent Reinforcement Learning Tasks
2022-01-01 Crespi, Marco; Custode, Leonardo Lucio; Iacca, Giovanni
FedEdge: Federated Learning with Docker and Kubernetes for Scalable and Efficient Edge Computing
2023-01-01 Hassan, Mir; Leonardo, Lucio; Yildirim, Sinan; Iacca, Giovanni
Quality–diversity optimization of decision trees for interpretable reinforcement learning
2023-01-01 Ferigo, Andrea; Custode, Leonardo Lucio; Iacca, Giovanni
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees
2023-01-01 Custode, Leonardo Lucio; Mento, Federico; Tursi, Francesco; Smargiassi, Andrea; Inchingolo, Riccardo; Perrone, Tiziano; Demi, Libertario; Iacca, Giovanni
A Population-Based Approach for Multi-Agent Interpretable Reinforcement Learning
2023-01-01 Crespi, Marco; Ferigo, Andrea; Custode, Leonardo Lucio; Iacca, Giovanni
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