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ORCIDGiovanni Iacca
- > Home > Persons > Giovanni Iacca
Publications
- 2024
[i34]Leonardo Lucio Custode, Giovanni Iacca:
Social Interpretable Reinforcement Learning. CoRR abs/2401.15480 (2024)- [i31]Elia Cunegatti, Leonardo Lucio Custode, Giovanni Iacca:
Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time. CoRR abs/2403.18755 (2024) - 2023
- [j40]Leonardo Lucio Custode
, Giovanni Iacca:
Evolutionary Learning of Interpretable Decision Trees. IEEE Access 11: 6169-6184 (2023) - [j39]Leonardo Lucio Custode, Federico Mento, Francesco Tursi, Andrea Smargiassi, Riccardo Inchingolo, Tiziano Perrone, Libertario Demi, Giovanni Iacca:
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees. Appl. Soft Comput. 133: 109926 (2023) - [j38]Marco Crespi, Andrea Ferigo, Leonardo Lucio Custode, Giovanni Iacca:
A population-based approach for multi-agent interpretable reinforcement learning. Appl. Soft Comput. 147: 110758 (2023) - [c69]Andrea Ferigo, Leonardo Lucio Custode, Giovanni Iacca:
Quality Diversity Evolutionary Learning of Decision Trees. SAC 2023: 425-432 - 2022
- [j34]Leonardo Lucio Custode, Hyunho Mo, Andrea Ferigo, Giovanni Iacca:
Evolutionary Optimization of Spiking Neural P Systems for Remaining Useful Life Prediction. Algorithms 15(3): 98 (2022) - [c67]Alberto Carbognin, Leonardo Lucio Custode, Giovanni Iacca:
Genetic Improvement of TCP Congestion Avoidance. BIOMA 2022: 114-126 - [c66]Marco Crespi, Leonardo Lucio Custode, Giovanni Iacca:
Towards Interpretable Policies in Multi-agent Reinforcement Learning Tasks. BIOMA 2022: 262-276 - [c64]Leonardo Lucio Custode, Hyunho Mo, Giovanni Iacca:
Neuroevolution of Spiking Neural P Systems. EvoApplications 2022: 435-451 - [c63]Leonardo Lucio Custode, Giovanni Iacca:
Interpretable pipelines with evolutionary optimized modules for reinforcement learning tasks with visual inputs. GECCO Companion 2022: 224-227 - [c61]Leonardo Lucio Custode, Giovanni Iacca:
Interpretable AI for policy-making in pandemics. GECCO Companion 2022: 1763-1769 - [i28]Leonardo Lucio Custode, Giovanni Iacca:
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs. CoRR abs/2202.04943 (2022) - [i27]Leonardo Lucio Custode, Giovanni Iacca:
Interpretable AI for policy-making in pandemics. CoRR abs/2204.04256 (2022) - [i22]Andrea Ferigo, Leonardo Lucio Custode, Giovanni Iacca:
Quality Diversity Evolutionary Learning of Decision Trees. CoRR abs/2208.12758 (2022) - 2021
- [j27]Hyunho Mo, Leonardo Lucio Custode, Giovanni Iacca:
Evolutionary neural architecture search for remaining useful life prediction. Appl. Soft Comput. 108: 107474 (2021) - [j22]Michela Lorandi, Leonardo Lucio Custode, Giovanni Iacca:
Genetic Improvement of Routing Protocols for Delay Tolerant Networks. ACM Trans. Evol. Learn. Optim. 1(1): 4:1-4:37 (2021) - [c57]Michela Lorandi, Leonardo Lucio Custode, Giovanni Iacca:
Genetic improvement of routing in delay tolerant networks. GECCO Companion 2021: 35-36 - [c56]Quintino Francesco Lotito, Leonardo Lucio Custode, Giovanni Iacca:
A signal-centric perspective on the evolution of symbolic communication. GECCO 2021: 120-128 - [c52]Hao Qiu, Leonardo Lucio Custode, Giovanni Iacca:
Black-box adversarial attacks using evolution strategies. GECCO Companion 2021: 1827-1833 - [c50]Leonardo Lucio Custode, Giovanni Iacca:
One run to attack them all: finding simultaneously multiple targeted adversarial perturbations. SSCI 2021: 1-8 - [c49]Leonardo Lucio Custode, Giovanni Iacca:
A co-evolutionary approach to interpretable reinforcement learning in environments with continuous action spaces. SSCI 2021: 1-8 - [i21]Michela Lorandi, Leonardo Lucio Custode, Giovanni Iacca:
Genetic Improvement of Routing Protocols for Delay Tolerant Networks. CoRR abs/2103.07428 (2021) - [i20]Quintino Francesco Lotito, Leonardo Lucio Custode, Giovanni Iacca:
A Signal-Centric Perspective on the Evolution of Symbolic Communication. CoRR abs/2103.16882 (2021) - [i16]Hao Qiu, Leonardo Lucio Custode, Giovanni Iacca:
Black-box adversarial attacks using Evolution Strategies. CoRR abs/2104.15064 (2021) - 2020
- [i12]Leonardo Lucio Custode, Giovanni Iacca:
Evolutionary learning of interpretable decision trees. CoRR abs/2012.07723 (2020)
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