MILANO, Nicola
MILANO, Nicola
DIPARTIMENTO DI STUDI UMANISTICI
A framework to automatically support autonomous exploration of amusing contents and self-determination in people with profound disabilities
2020 Ponticorvo, M.; Milano, N.; Rega, A.; Ricci, C.; Miglino, O.
Using Technology to Identify Children With Autism Through Motor Abnormalities
2021 Simeoli, R.; Milano, N.; Rega, A.; Marocco, D.
Introducing OpenAI-ES in interactive data clustering with R-EVOK
2022 Milano, Nicola; Gigliotta, Onofrio
Spatial Frames of Reference and Action: A Study with Evolved Neuro-agents
2022 Milano, N.; Ponticorvo, M.
Robustness to faults promotes evolvability: Insights from evolving digital circuits
2016 Milano, N.; Nolfi, S.
Phenotypic complexity and evolvability in evolving robots
2022 Milano, N.; Nolfi, S.
Maximizing adaptive power in neuroevolution
2018 Pagliuca, P.; Milano, N.; Nolfi, S.
Autonomous learning of features for control: Experiments with embodied and situated agents
2021 Milano, N.; Nolfi, S.
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization
2020 Pagliuca, P.; Milano, N.; Nolfi, S.
Enhancing Cartesian genetic programming through preferential selection of larger solutions
2021 Milano, N.; Nolfi, S.
Robustness, evolvability and phenotypic complexity: insights from evolving digital circuits
2019 Milano, N.; Pagliuca, P.; Nolfi, S.
Automated curriculum learning for embodied agents a neuroevolutionary approach
2021 Milano, N.; Nolfi, S.
Evolving Robust Solutions for Stochastically Varying Problems
2018 Carvalho, J. T.; Milano, N.; Nolfi, S.
Moderate Environmental Variation Across Generations Promotes the Evolution of Robust Solutions
2019 Milano, N.; Carvalho, J. T.; Nolfi, S.
Automated Categorization of Behavioral Quality Through Deep Neural Networks
2022 Pagliuca, Paolo; Milano, Nicola; Nolfi, Stefano
Environmental variations promotes adaptation in artificial evolution
2018 Milano, N.; Carvalho, J. T.; Nolfi, S.
Artificial Neural Networks for Short-Form Development of Psychometric Tests: A Study on Synthetic Populations Using Autoencoders
2024 Casella, Monica; Dolce, Pasquale; Ponticorvo, Michela; Milano, Nicola; Marocco, Davide
Exploring Psychological Data by Integrating Explanatory and Predictive Approaches through Artificial Neural Networks: A Brief Overview of Current Applications
2023 Casella, M.; Dolce, P.; Esposito, R.; Luongo, M.; Marocco, D.; Milano, N.; Ponticorvo, M.; Simeoli, R.
Qualitative differences between evolutionary strategies and reinforcement learning methods for control of autonomous agents
2024 Milano, N.; Nolfi, S.
Autoencoders as a Tool to Detect Nonlinear Relationships in Latent Variables Models
2023 Esposito, R.; Casella, M.; Milano, N.; Marocco, D.