Leonardo Lucio Custode

Neural Comput. Appl., June, 2025

A customer behavior-driven clustering method in the planogram design domain.

[BibT_eX]

[DOI]

Francesco Silverio

Mario Cantalupo

Appl. Soft Comput., 2025

A TinyML Approach for the Classification of Bean Crop Diseases.

[BibT_eX]

[DOI]

Mir Hassan

Wamiq Raza

Varvara Fadeeva

Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

Social Interpretable Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 28th European Conference, 2025

SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks.

[BibT_eX]

[DOI]

Mátyás Vincze

Laura Ferrarotti

Bruno Lepri

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training.

[BibT_eX]

[DOI]

Elia Cunegatti

CoRR, 2024

Fast-Inf: Ultra-Fast Embedded Intelligence on the Batteryless Edge.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Comparing Large Language Models and Grammatical Evolution for Code Generation.

[BibT_eX]

[DOI]

Chiara Camilla Rambaldi Migliore

Marco Roveri

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms.

[BibT_eX]

[DOI]

Fabio Caraffini

Anil Yaman

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time.

[BibT_eX]

[DOI]

Elia Cunegatti

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

A population-based approach for multi-agent interpretable reinforcement learning.

[BibT_eX]

[DOI]

Marco Crespi

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.

[BibT_eX]

[DOI]

Appl. Soft Comput., January, 2023

Evolutionary Learning of Interpretable Decision Trees.

[BibT_eX]

[DOI]

IEEE Access, 2023

Quality Diversity Evolutionary Learning of Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

FedEdge: Federated Learning with Docker and Kubernetes forScalable and Efficient Edge Computing.

[BibT_eX]

[DOI]

Mir Hassan

Kasim Sinan Yildirim

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.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Hyunho Mo

Algorithms, 2022

SASH: Safe Autonomous Self-Healing.

[BibT_eX]

[DOI]

Gary White

Owen O'Brien

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Neuroevolution of Spiking Neural P Systems.

[BibT_eX]

[DOI]

Hyunho Mo

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

Towards Interpretable Policies in Multi-agent Reinforcement Learning Tasks.

[BibT_eX]

[DOI]

Marco Crespi

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2022

Genetic Improvement of TCP Congestion Avoidance.

[BibT_eX]

[DOI]

Alberto Carbognin

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2022

2021

Genetic Improvement of Routing Protocols for Delay Tolerant Networks.

[BibT_eX]

[DOI]

Michela Lorandi

ACM Trans. Evol. Learn. Optim., 2021

Evolutionary neural architecture search for remaining useful life prediction.

[BibT_eX]

[DOI]

Hyunho Mo

Appl. Soft Comput., 2021

A co-evolutionary approach to interpretable reinforcement learning in environments with continuous action spaces.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

One run to attack them all: finding simultaneously multiple targeted adversarial perturbations.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Black-box adversarial attacks using evolution strategies.

[BibT_eX]

[DOI]

Hao Qiu

Quintino Francesco Lotito

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A signal-centric perspective on the evolution of symbolic communication.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Genetic improvement of routing in delay tolerant networks.

[BibT_eX]

[DOI]

Michela Lorandi

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks.

[BibT_eX]

[DOI]