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2020 – today
- 2024
[c6]Monica Casella, Maria Luongo, Davide Marocco, Nicola Milano, Michela Ponticorvo:
LLM embeddings on test items predict post hoc loadings in personality tests. Ital-IA 2024: 313-317- 2023
- [c5]Monica Casella, Pasquale Dolce, Raffaella Esposito, Maria Luongo, Davide Marocco, Nicola Milano, Michela Ponticorvo, Roberta Simeoli:
Exploring Psychological Data by Integrating Explanatory and Predictive Approaches through Artificial Neural Networks: A Brief Overview of Current Applications. Ital-IA 2023: 166-170 - [c4]Raffaella Esposito, Monica Casella, Nicola Milano, Davide Marocco:
Autoencoders as a Tool to Detect Nonlinear Relationships in Latent Variables Models. MetroXRAINE 2023: 1012-1016 - [c3]Antonietta Argiuolo, Federica Somma, Monica Casella, Onofrio Gigliotta, Michela Ponticorvo:
Putting the Pieces Together: Exploring the Dimensionality of Enhanced Baking Tray Task Indexes in School-Aged Children. MetroXRAINE 2023: 1022-1026 - 2022
- [c2]Monica Casella
, Pasquale Dolce, Michela Ponticorvo, Davide Marocco:
From Principal Component Analysis to Autoencoders: a comparison on simulated data from psychometric models. MetroXRAINE 2022: 377-381 - 2021
- [c1]Monica Casella, Pasquale Dolce, Michela Ponticorvo, Davide Marocco:
Autoencoders as an alternative approach to principal component analysis for dimensionality reduction. An application on simulated data from psychometric models. PSYCHOBIT 2021
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