MILANO, Nicola

MILANO, Nicola  

DIPARTIMENTO DI STUDI UMANISTICI  

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Titolo Tipologia Data di pubblicazione Autore(i) File
Using Technology to Identify Children With Autism Through Motor Abnormalities 1.1 Articolo in rivista 2021 Simeoli, R.; Milano, N.; Rega, A.; Marocco, D.
Introducing OpenAI-ES in interactive data clustering with R-EVOK 4.1 Articoli in Atti di convegno 2022 Milano, Nicola; Gigliotta, Onofrio
Spatial Frames of Reference and Action: A Study with Evolved Neuro-agents 4.1 Articoli in Atti di convegno 2022 Milano, N.; Ponticorvo, M.
Robustness to faults promotes evolvability: Insights from evolving digital circuits 1.1 Articolo in rivista 2016 Milano, N.; Nolfi, S.
Phenotypic complexity and evolvability in evolving robots 1.1 Articolo in rivista 2022 Milano, N.; Nolfi, S.
Maximizing adaptive power in neuroevolution 1.1 Articolo in rivista 2018 Pagliuca, P.; Milano, N.; Nolfi, S.
Autonomous learning of features for control: Experiments with embodied and situated agents 1.1 Articolo in rivista 2021 Milano, N.; Nolfi, S.
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization 1.1 Articolo in rivista 2020 Pagliuca, P.; Milano, N.; Nolfi, S.
Enhancing Cartesian genetic programming through preferential selection of larger solutions 1.1 Articolo in rivista 2021 Milano, N.; Nolfi, S.
Robustness, evolvability and phenotypic complexity: insights from evolving digital circuits 1.1 Articolo in rivista 2019 Milano, N.; Pagliuca, P.; Nolfi, S.
Automated curriculum learning for embodied agents a neuroevolutionary approach 1.1 Articolo in rivista 2021 Milano, N.; Nolfi, S.
Evolving Robust Solutions for Stochastically Varying Problems 4.1 Articoli in Atti di convegno 2018 Carvalho, J. T.; Milano, N.; Nolfi, S.
Moderate Environmental Variation Across Generations Promotes the Evolution of Robust Solutions 1.1 Articolo in rivista 2019 Milano, N.; Carvalho, J. T.; Nolfi, S.
Automated Categorization of Behavioral Quality Through Deep Neural Networks 4.1 Articoli in Atti di convegno 2022 Pagliuca, Paolo; Milano, Nicola; Nolfi, Stefano
Qualitative differences between evolutionary strategies and reinforcement learning methods for control of autonomous agents 1.1 Articolo in rivista 2022 Milano, N.; Nolfi, S.
Environmental variations promotes adaptation in artificial evolution 4.1 Articoli in Atti di convegno 2018 Milano, N.; Carvalho, J. T.; Nolfi, S.
A deep learning latent variable model to identify children with autism through motor abnormalities 1.1 Articolo in rivista 2023 Milano, Nicola; Simeoli, Roberta; Rega, Angelo; Marocco, Davide
Artificial Neural Networks for Short-Form Development of Psychometric Tests: A Study on Synthetic Populations Using Autoencoders 1.1 Articolo in rivista 2024 Casella, Monica; Dolce, Pasquale; Ponticorvo, Michela; Milano, Nicola; Marocco, Davide