MILANO, Nicola
MILANO, Nicola
DIPARTIMENTO DI STUDI UMANISTICI
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.
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.
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.
Autoencoders as a Tool to Detect Nonlinear Relationships in Latent Variables Models
2023 Esposito, R.; Casella, M.; Milano, N.; Marocco, D.
Integrating Exploratory and Predictive Techniques in Short Form Development: Autoencoders Applications on Psychometric Data
2023 Casella, Monica; Dolce, Pasquale; Ponticorvo, Michela; Milano, Nicola; Marocco, Davide
LLM embeddings on test items predict post hoc loadings in personality tests.
2024 Casella, Monica; Luongo, Maria; Marocco, Davide; Milano, Nicola; Ponticorvo, Michela
Enhancing early autism diagnosis through machine learning: Exploring raw motion data for classification
2024 Luongo, Maria; Simeoli, Roberta; Marocco, Davide; Milano, Nicola; Ponticorvo, Michela
Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale
2024 Casella, Monica; Milano, Nicola; Dolce, Pasquale; Marocco, Davide
| 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. | |
| 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. | |
| 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 | |
| Environmental variations promotes adaptation in artificial evolution | 4.1 Articoli in Atti di convegno | 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 | 1.1 Articolo in rivista | 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 | 4.1 Articoli in Atti di convegno | 2023 | Casella, M.; Dolce, P.; Esposito, R.; Luongo, M.; Marocco, D.; Milano, N.; Ponticorvo, M.; Simeoli, R. | |
| Autoencoders as a Tool to Detect Nonlinear Relationships in Latent Variables Models | 4.1 Articoli in Atti di convegno | 2023 | Esposito, R.; Casella, M.; Milano, N.; Marocco, D. | |
| Integrating Exploratory and Predictive Techniques in Short Form Development: Autoencoders Applications on Psychometric Data | 4.2 Abstract in Atti di convegno | 2023 | Casella, Monica; Dolce, Pasquale; Ponticorvo, Michela; Milano, Nicola; Marocco, Davide | |
| LLM embeddings on test items predict post hoc loadings in personality tests. | 8.02 Comunicazioni a Convegni o Seminari | 2024 | Casella, Monica; Luongo, Maria; Marocco, Davide; Milano, Nicola; Ponticorvo, Michela | |
| Enhancing early autism diagnosis through machine learning: Exploring raw motion data for classification | 1.1 Articolo in rivista | 2024 | Luongo, Maria; Simeoli, Roberta; Marocco, Davide; Milano, Nicola; Ponticorvo, Michela | |
| Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale | 1.1 Articolo in rivista | 2024 | Casella, Monica; Milano, Nicola; Dolce, Pasquale; Marocco, Davide |