Evolving Illumination Design Following Genetic Strategies. - Alice Plebe; Vincenzo Cutello; Mario Pavone (IJCCI, 2017)

Optimizing Costs and Quality of Interior Lighting by Genetic Algorithm. - Alice Plebe; Vincenzo Cutello; Mario Pavone (IJCCI (Selected Papers), 2017)

Multi-objective Genetic Algorithm for Interior Lighting Design. - Alice Plebe; Mario Pavone (MOD, 2017)

Autonomous Vehicle Architecture Inspired by the Neurocognition of Human Driving. - Mauro Da Lio; Alice Plebe; Daniele Bortoluzzi 001; Gastone Pietro Rosati Papini; Riccardo Donà (VEHITS, 2018)

Conceptual Integrity Without Concepts. - Alice Plebe; Giorgio M. Grasso (Int. J. Softw. Eng. Knowl. Eng., 2018)

Variational Autoencoder Inspired by Brain's Convergence-Divergence Zones for Autonomous Driving Application. - Alice Plebe; Mauro Da Lio (ICIAP (1), 2019)

Dreaming Mechanism for Training Bio-Inspired Driving Agents. - Alice Plebe; Gastone Pietro Rosati Papini; Riccardo Donà; Mauro Da Lio (IHSI, 2019)

Visual Perception for Autonomous Driving inspired by Convergence-Divergence Zones. - Alice Plebe; Mauro Da Lio (ISPA, 2019)

Neurocognitive-Inspired Approach for Visual Perception in Autonomous Driving. - Alice Plebe; Mauro Da Lio (SMARTGREENS/VEHITS (Selected Papers), 2019)

Mental Imagery for Intelligent Vehicles. - Alice Plebe; Riccardo Donà; Gastone Pietro Rosati Papini; Mauro Da Lio (VEHITS, 2019)

On the Road With 16 Neurons: Towards Interpretable and Manipulable Latent Representations for Visual Predictions in Driving Scenarios. - Alice Plebe; Mauro Da Lio (IEEE Access, 2020)

On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks. - Alice Plebe; Mauro Da Lio (CoRR, 2020)

On Reliable Neural Network Sensorimotor Control in Autonomous Vehicles. - Alice Plebe; Mauro Da Lio; Daniele Bortoluzzi 001 (IEEE Trans. Intell. Transp. Syst., 2020)

Occupancy Grid Mapping with Cognitive Plausibility for Autonomous Driving Applications. - Alice Plebe; Julian F. P. Kooij; Gastone Pietro Rosati Papini; Mauro Da Lio (ICCVW, 2021)

A Critical Look into Cognitively-inspired Artificial Intelligence. - Sara Mahmoud; Alice Plebe (AIC, 2022)

Distributed cognition for collaboration between human drivers and self-driving cars. - Alice Plebe; Gastone Pietro Rosati Papini; Antonello Cherubini; Mauro Da Lio (Frontiers Artif. Intell., 2022)

The Biasing of Action Selection Produces Emergent Human-Robot Interactions in Autonomous Driving. - Mauro Da Lio; Riccardo Donà; Gastone Pietro Rosati Papini; Alice Plebe (IEEE Robotics Autom. Lett., 2022)

A Reinforcement Learning Approach for Enacting Cautious Behaviours in Autonomous Driving System: Safe Speed Choice in the Interaction With Distracted Pedestrians. - Gastone Pietro Rosati Papini; Alice Plebe; Mauro Da Lio; Riccardo Donà (IEEE Trans. Intell. Transp. Syst., 2022)

Energy Costs of Safe Speed Policies in a Pedestrian-crossing Scenario. - Antonello Cherubini; Gastone Pietro Rosati Papini; Alice Plebe; Mauro Da Lio (IV, 2023)

Complex self-driving behaviors emerging from affordance competition in layered control architectures. - Mauro Da Lio; Antonello Cherubini; Gastone Pietro Rosati Papini; Alice Plebe (Cogn. Syst. Res., 2023)

Bio-inspired circular latent spaces to estimate objects' rotations. - Alice Plebe; Mauro Da Lio (Frontiers Comput. Neurosci., 2023)

Human-inspired autonomous driving: A survey. - Alice Plebe; Henrik Svensson; Sara Mahmoud; Mauro Da Lio (Cogn. Syst. Res., 2024)

Artificial Intelligence in Science and Society: The Vision of USERN. - Tommaso Dorigo; Gary D. Brown; Carlo Casonato; Artemi Cerdà; Joseph Ciarrochi; Mauro Da Lio; Nicole D'Souza; Nicolas R. Gauger; Steven C. Hayes; Stefan G. Hofmann; Robert Johansson; Marcus Liwicki; et al. (IEEE Access, 2025)

I'll believe it when I see it: Images increase misinformation sharing in Vision-Language Models. - Alice Plebe; Timothy Douglas; Diana Riazi; R. Maria del Rio Chanona (CoRR, 2025)