Leonardo Lucio Custode

Orcid: 0000-0002-1652-1690

According to our database1, Leonardo Lucio Custode authored at least 27 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Social Interpretable Reinforcement Learning.
CoRR, 2024

Fast-Inf: Ultra-Fast Embedded Intelligence on the Batteryless Edge.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Comparing Large Language Models and Grammatical Evolution for Code Generation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
A population-based approach for multi-agent interpretable reinforcement learning.
Appl. Soft Comput., November, 2023

Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees.
Appl. Soft Comput., January, 2023

Evolutionary Learning of Interpretable Decision Trees.
IEEE Access, 2023

Quality Diversity Evolutionary Learning of Decision Trees.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

FedEdge: Federated Learning with Docker and Kubernetes forScalable and Efficient Edge Computing.
Proceedings of the 2023 International Conference on embedded Wireless Systems and Networks, 2023

2022
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs.
CoRR, 2022

Evolutionary Optimization of Spiking Neural P Systems for Remaining Useful Life Prediction.
Algorithms, 2022

SASH: Safe Autonomous Self-Healing.
Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022

Interpretable AI for policy-making in pandemics.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Interpretable pipelines with evolutionary optimized modules for reinforcement learning tasks with visual inputs.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Neuroevolution of Spiking Neural P Systems.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

Towards Interpretable Policies in Multi-agent Reinforcement Learning Tasks.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2022

Genetic Improvement of TCP Congestion Avoidance.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2022

2021
Genetic Improvement of Routing Protocols for Delay Tolerant Networks.
ACM Trans. Evol. Learn. Optim., 2021

Evolutionary neural architecture search for remaining useful life prediction.
Appl. Soft Comput., 2021

A co-evolutionary approach to interpretable reinforcement learning in environments with continuous action spaces.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

One run to attack them all: finding simultaneously multiple targeted adversarial perturbations.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Black-box adversarial attacks using evolution strategies.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A signal-centric perspective on the evolution of symbolic communication.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Genetic improvement of routing in delay tolerant networks.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020


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