Integrating learning by experience and demonstration in autonomous robots. - Paolo Pagliuca; Stefano Nolfi (Adapt. Behav., 2015)

Robust Optimization through Neuroevolution. - Paolo Pagliuca; Stefano Nolfi (CoRR, 2018)

Robustness, evolvability and phenotypic complexity: insights from evolving digital circuits. - Nicola Milano; Paolo Pagliuca; Stefano Nolfi (Evol. Intell., 2019)

Efficient evolution of neural networks. - Paolo Pagliuca (2019)

Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization. - Paolo Pagliuca; Nicola Milano; Stefano Nolfi (Frontiers Robotics AI, 2020)

Automated Categorization of Behavioral Quality Through Deep Neural Networks. - Paolo Pagliuca; Nicola Milano; Stefano Nolfi (MetroXRAINE, 2022)

The dynamic of body and brain co-evolution. - Paolo Pagliuca; Stefano Nolfi (Adapt. Behav., 2022)

Skeleton Timed Up and Go on MARIO Robot. - Alessandra Vitanza; Paolo Pagliuca; Filippo Cantucci; Stefano Nolfi (MetroXRAINE, 2023)

The Importance of Functionality over Complexity: A Preliminary Study on Feed-Forward Neural Networks. - Paolo Pagliuca; Davide Yuri Inglese (WIRN, 2023)

N-Mates Evaluation: a New Method to Improve the Performance of Genetic Algorithms in Heterogeneous Multi-Agent Systems. - Paolo Pagliuca; Alessandra Vitanza (WOA, 2023)

Learning and evolution: factors influencing an effective combination. - Paolo Pagliuca (CoRR, 2023)

An Explainable Convolutional Neural Network for the Detection of Drug Abuse. - Giulia Tufo; Meriam Zribi; Paolo Pagliuca; Francesca Pitolli (EXPLIMED@ECAI, 2024)

Can Educational Robotics Experiences Shape Early Childhood Interpersonal Dynamics? An Exploratory Investigation. - Alessandra Vitanza; Federica Morleo; Paolo Pagliuca (MetroXRAINE, 2024)

Enhancing Aggregation in Locomotor Multi-Agent Systems: a Theoretical Framework. - Paolo Pagliuca; Alessandra Vitanza (WOA, 2024)

A Computer Vision-Based Quality Assessment Technique for the automatic control of consumables for analytical laboratories. - Meriam Zribi; Paolo Pagliuca; Francesca Pitolli (Expert Syst. Appl., 2024)

Global progress in competitive co-evolution: a systematic comparison of alternative methods. - Stefano Nolfi; Paolo Pagliuca (Frontiers Robotics AI, 2024)

A Comparative Study of Evolutionary Strategies for Aggregation Tasks in Robot Swarms: Macro- and Micro-Level Behavioral Analysis. - Paolo Pagliuca; Alessandra Vitanza (IEEE Access, 2025)