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2026
  • A. Plebe, "Propensity to trust in large language models", PLoS One  [PAPER]

  • A. Plebe, et al., "Images amplify misinformation sharing in vision-language models", 20th International AAAI Conference on Web and Social Media (ICWSM)  [PAPER] [CODE]

2025
  • X. Dong, et al., "Why autonomous vehicles are not ready yet: A multi‐disciplinary review of problems, attempted solutions, and future directions", Journal of Field Robotics  [PAPER]

  • A. Cherubini, et al., "Bootstrapped neural models for predicting self-driving vehicle collisions with quantified confidence: Offline and online applications", IEEE Transactions on Intelligent Vehicles  [PAPER]

  • T. Dorigo, et al., "Artificial intelligence in science and society: The vision of USERN", IEEE Access  [PAPER]
2024
  • A. Plebe, et al., "Human-inspired autonomous driving: A survey", Cognitive Systems Research  [PAPER]

  • A. Cherubini, et al., "A subsumption scheme for emergent collaboration of self-driving vehicles in intersections", 17th IFAC Symposium on Control of Transportation Systems (CTS)  [PAPER]

2023
  • M. Da Lio, et al., "Complex self-driving behaviors emerging from affordance competition in layered control architectures", Cognitive Systems Research  [PAPER]  [VIDEO]

  • A. Cherubini, et al., "Energy costs of safe speed policies in a pedestrian-crossing scenario", 35th IEEE Intelligent Vehicles Symposium (IV)  [PAPER]

  • A. Plebe and M. Da Lio, "Bio-inspired circular latent spaces to estimate objects' rotations", Frontiers in Computational Neuroscience  [PAPER]  [CODE]

2022
  • M. Da Lio, et al., "The biasing of action selection produces emergent human-robot interactions in autonomous driving", IEEE Robotics and Automation Letters  [PAPER]  [VIDEO]

  • A. Plebe, et al., "Distributed cognition for collaboration between human drivers and self-driving cars", Frontiers in Artificial Intelligence  [PAPER]

  • S. Mahmoud and A. Plebe, "A critical look into cognitively-inspired artificial intelligence",  8th International Workshop on Artificial Intelligence and Cognition (AIC)  [PAPER]

2021
  • G. P. Rosati Papini, et al., "A reinforcement learning approach for enacting cautious behaviours in autonomous driving system: Safe speed choice in the interaction with distracted pedestrians", IEEE Transactions on Intelligent Transportation Systems  [PAPER]  [CODE]  [VIDEO]

  • A. Plebe, et al., "Occupancy grid mapping with cognitive plausibility for autonomous driving applications", Workshop on Autonomous Vehicle Vision at the IEEE/CVF International Conference on Computer Vision (ICCV)  [PAPER]  [CODE]

  • A. Plebe and M. Da Lio, "Neurocognitive-inspired approach for visual perception in autonomous driving", Smart Cities, Green Technologies and Intelligent Transport Systems  [PAPER]

2020
  • A. Plebe, et al., "On reliable neural network sensorimotor control in autonomous vehicles", IEEE Transactions on Intelligent Transportation Systems  [PAPER]

  • A. Plebe and M. Da Lio, "On the road with 16 neurons: Towards interpretable and manipulable latent representations for visual predictions in driving scenarios", IEEE Access  [PAPER]  [CODE]

2019
  • A. Plebe and M. Da Lio, "Visual perception for autonomous driving inspired by convergence–divergence zones", 11th International Symposium on Image and Signal Processing and Analysis (ISPA)  [PAPER]

  • A. Plebe and M. Da Lio, "Variational autoencoder inspired by brain's convergence-divergence zones for autonomous driving application", 20th International Conference on Image Analysis and Processing (ICIAP)  [PAPER]

  • A. Plebe, et al., "Mental imagery for intelligent vehicles", 5th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS)  [PAPER]  [CODE]

  • A. Plebe, et al., "Dreaming mechanism for training bio-inspired driving agents", 2nd International Conference on Intelligent Human Systems Integration (IHSI)  [PAPER]

  • A. Plebe, et al., "Optimizing costs and quality of interior lighting by genetic algorithm", Studies in Computational Intelligence  [PAPER]

2018
  • A. Plebe and G. Grasso, "Conceptual integrity without concepts", International Journal of Software Engineering and Knowledge Engineering  [PAPER]

  • M. Da Lio, et al., "Autonomous vehicle architecture inspired by the neurocognition of human driving", 4th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS)  [PAPER]

2017
  • A. Plebe, et al., "Evolving illumination design following genetic strategies", 9th International Joint Conference on Computational Intelligence (IJCCI)  [PAPER]

  • A. Plebe and M. Pavone, "Multi-objective genetic algorithm for interior lighting design", 3rd International Workshop on Machine learning, Optimization, and Big Data (MOD)  [PAPER]

2016
  • A. Plebe and G. Grasso, "Particle physics and polyedra proximity calculation for hazard simulations in large-scale industrial plants", 12th International Conference of Computational Methods in Sciences and Engineering (ICCMSE)  [PAPER]

© 2026 Alice Plebe

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