Pubblicazioni

Optimizing personalized psychological well-being interventions through digital phenotyping: results from a randomized non-clinical trial

2025 - FRONTIERS IN PSYCHOLOGY
Rocchi, Giulia; Vocaj, Emanuela; Moawad, Simone; Antonucci, Alessandro; Grigioni, Carlo; Giuffrida, Vincenzo; Bordini, Joy

Unsupervised pedestrian intention estimation through deep neural embeddings and spatio-temporal graph convolutional networks

2025 - PATTERN ANALYSIS AND APPLICATIONS
Scaccia, S.; Pro, F.; Amerini, I.

HAR-based realized volatility clustering

2024 - Statistical Analysis of Complex Economic Data: Recent Developments and Applications
D’Urso, Pierpaolo; Mattera, Raffaele; Otranto, Edoardo; Scaffidi Domianello, Luca

Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation

2023 - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Saltori, Cristiano; Galasso, Fabio; Fiameni, Giuseppe; Sebe, Nicu; Poiesi, Fabio; Ricci, Elisa

Solitonic Neural Network Acting as an Episodic Memory

2023 - Solitonic Neural Networks: An Innovative Photonic Neural Network Based on Solitonic Interconnections
Bile, Alessandro

The Solitonic X-Junction as a Photonic Neuron

2023 - Solitonic Neural Networks: An Innovative Photonic Neural Network Based on Solitonic Interconnections
Bile, Alessandro

A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains

2022 - Proc. of 2022 International Joint Conference on Neural Networks (IJCNN)
Santis, Enrico De; Arno, Francesco; Martino, Alessio; Rizzi, Antonello

A deep variational convolutional Autoencoder for unsupervised features extraction of ceramic profiles. A case study from central Italy

2022 - JOURNAL OF ARCHAEOLOGICAL SCIENCE
Cardarelli, L.

Supervised and unsupervised learning to classify scoliosis and healthy subjects based on non-invasive rasterstereography analysis

2021 - PLOS ONE
Colombo, T.; Mangone, M.; Agostini, F.; Bernetti, A.; Paoloni, M.; Santilli, V.; Palagi, L.

Semi-Automated Operational Modal Analysis Methodology to Optimize Modal Parameter Estimation

2020 - JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
Tronci, E. M.; De Angelis, M.; Betti, R.; Altomare, V.

Efficient approaches for solving the large-scale k-medoids problem: Towards structured data

2019 - Computational intelligence
Martino, Alessio; Rizzi, Antonello; Frattale Mascioli, Fabio Massimo

Distance matrix pre-caching and distributed computation of internal validation indices in k-medoids clustering

2018 - Proc. of International Joint Conference on Neural Networks (IJCNN) 2018
Martino, Alessio; Rizzi, Antonello; FRATTALE MASCIOLI, Fabio Massimo

Efficient approaches for solving the large-scale k-medoids problem

2017 -
Martino, Alessio; Rizzi, Antonello; Frattale Mascioli, Fabio Massimo

Phase transitions in Restricted Boltzmann Machines with generic priors

2017 - PHYSICAL REVIEW. E
Barra, Adriano; Genovese, Giuseppe; Sollich, Peter; Tantari, Daniele

Recent advances on distributed unsupervised learning

2016 - Advances in Neural Networks: Computational Intelligence for ICT
Rosato, Antonello; Altilio, Rosa; Panella, Massimo

Transferring knowledge across robots: A risk sensitive approach

2015 - ROBOTICS AND AUTONOMOUS SYSTEMS
Costante, Gabriele; Ciarfuglia, Thomas Alessandro; Valigi, Paolo; Ricci, Elisa

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