Nicola Milano

30 papers B 1Misc 1Journal 18Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Alignment among Language, Vision and Action Representations.
CoRR
Nicola Milano, Stefano Nolfi
2026 J jnl
Large Language Models as Simulative Agents for Neurodivergent Adult Psychometric Profiles.
CoRR
Francesco Chiappone, Davide Marocco, Nicola Milano
2025 — conf
A Preliminary Study on Assessing Patient Behavioral Quality Using Deep Learning.
MetroXRAINE
Paolo Pagliuca, Stefania De Marco, Alessandra Vitanza, Nicola Milano, Angelo Rega, Stefano Nolfi
2025 J jnl
Comparing Human Expertise and Large Language Models Embeddings in Content Validity Assessment of Personality Tests.
CoRR
Nicola Milano, Michela Ponticorvo, Davide Marocco
2025 J jnl
Minimizing learning experiences in embodied agents language and action learning.
Neurocomputing
Nicola Milano, Stefano Nolfi
2024 Misc conf
Exploring Spatial Cognition: Comparative Analysis of Agent-Based Models in Dynamic and Static Environments.
IWINAC
Maria Luongo, Michela Ponticorvo, Nicola Milano
2024 J jnl
Interaction Rules Supporting Effective Flocking Behavior.
Artif. Life
Nicola Milano, Stefano Nolfi
2024 — conf
LLM embeddings on test items predict post hoc loadings in personality tests.
Ital-IA
Monica Casella, Maria Luongo, Davide Marocco, Nicola Milano, Michela Ponticorvo
2024 — conf
Modeling Nonlinear Relationships in Psychometric Data Using Variational Autoencoders: Insights from Simulated Data.
MetroXRAINE
Monica Casella, Nicola Milano, Raffaella Esposito, Davide Marocco
2024 — conf
Not Only ChatGPT: Educational Approaches for Embodied Artificial Intelligence (full paper).
edu4AI@AI*IA
Monica Casella, Clara Nobile, Raffaella Esposito, Maria Luongo, Alessio Manfredini, Nicola Milano, Onofrio Gigliotta, Davide Marocco, Michela Ponticorvo
2024 J jnl
Qualitative differences between evolutionary strategies and reinforcement learning methods for control of autonomous agents.
Evol. Intell.
Nicola Milano, Stefano Nolfi
2023 — conf
Autoencoders as a Tool to Detect Nonlinear Relationships in Latent Variables Models.
MetroXRAINE
Raffaella Esposito, Monica Casella, Nicola Milano, Davide Marocco
2023 — conf
Exploring Psychological Data by Integrating Explanatory and Predictive Approaches through Artificial Neural Networks: A Brief Overview of Current Applications.
Ital-IA
Monica Casella, Pasquale Dolce, Raffaella Esposito, Maria Luongo, Davide Marocco, Nicola Milano, Michela Ponticorvo, Roberta Simeoli
2022 — conf
Automated Categorization of Behavioral Quality Through Deep Neural Networks.
MetroXRAINE
Paolo Pagliuca, Nicola Milano, Stefano Nolfi
2022 J jnl
Phenotypic complexity and evolvability in evolving robots.
Frontiers Robotics AI
Nicola Milano, Stefano Nolfi
2022 J jnl
Qualitative Differences Between Evolutionary Strategies and Reinforcement Learning Methods for Control of Autonomous Agents.
CoRR
Nicola Milano, Stefano Nolfi
2022 — conf
Spatial Frames of Reference and Action: A Study with Evolved Neuro-agents.
IWINAC (1)
Nicola Milano, Michela Ponticorvo
2021 J jnl
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach.
CoRR
Nicola Milano, Stefano Nolfi
2021 J jnl
Enhancing Cartesian genetic programming through preferential selection of larger solutions.
Evol. Intell.
Nicola Milano, Stefano Nolfi
2021 — —
On the relation between robustness, evolvability and phenotypic complexity: insight from artificial evolutionary experiments.
Nicola Milano
2020 J jnl
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents.
CoRR
Nicola Milano, Stefano Nolfi
2020 J jnl
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization.
Frontiers Robotics AI
Paolo Pagliuca, Nicola Milano, Stefano Nolfi
2019 J jnl
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization.
CoRR
Paolo Pagliuca, Nicola Milano, Stefano Nolfi
2019 J jnl
Robustness, evolvability and phenotypic complexity: insights from evolving digital circuits.
Evol. Intell.
Nicola Milano, Paolo Pagliuca, Stefano Nolfi
2018 B conf
Evolving Robust Solutions for Stochastically Varying Problems.
CEC
Jônata Tyska Carvalho, Nicola Milano, Stefano Nolfi
2018 J jnl
Moderate Environmental Variation Across Generations Promotes the Evolution of Robust Solutions.
Artif. Life
Nicola Milano, Jônata Tyska Carvalho, Stefano Nolfi
2018 J jnl
Scaling Up Cartesian Genetic Programming through Preferential Selection of Larger Solutions.
CoRR
Nicola Milano, Stefano Nolfi
2017 — conf
Environmental variations promotes adaptation in artificial evolution.
SSCI
Nicola Milano, Jônata Tyska Carvalho, Stefano Nolfi
2017 J jnl
Moderate Environmental Variation Promotes Adaptation in Artificial Evolution.
CoRR
Nicola Milano, Jônata Tyska Carvalho, Stefano Nolfi
2017 J jnl
Robustness, Evolvability and Phenotypic Complexity: Insights from Evolving Digital Circuits.
CoRR
Nicola Milano, Paolo Pagliuca, Stefano Nolfi