Matteo Moro

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Top Venues

ICPR Workshops (4)

UMAP (Adjunct Publication)

Publications

Matteo Moro, Maria Cellerino, Matilde Inglese, Maura Casadio, Francesca Odone, Nicoletta Noceti
On the Assessment of Gray Code Kernels for Motion Characterization in People with Multiple Sclerosis: A Preliminary Study. ApplePies (2023)
Matteo Moro, Giorgia Marchesi, Filip Hesse, Francesca Odone, Maura Casadio
Markerless vs. Marker-Based Gait Analysis: A Proof of Concept Study. Sensors 22 (5) (2022)
Matteo Moro, Vito Paolo Pastore, Chiara Tacchino, Paola Durand, Isabella Blanchi, Paolo Moretti, Francesca Odone, Maura Casadio
A markerless pipeline to analyze spontaneous movements of preterm infants. Comput. Methods Programs Biomed. 226 (2022)
Davide Garbarino, Matteo Moro, Chiara Tacchino, Paolo Moretti, Maura Casadio, Francesca Odone, Annalisa Barla
Attributed Graphettes-Based Preterm Infants Motion Analysis. COMPLEX NETWORKS (2021)
Matteo Moro, Maura Casadio, Leigh Ann Mrotek, Rajiv Ranganathan, Robert A. Scheidt, Francesca Odone
On The Precision Of Markerless 3d Semantic Features: An Experimental Study On Violin Playing. ICIP (2021)
Luca Garello, Matteo Moro, Chiara Tacchino, Francesca Campone, Paola Durand, Isabella Blanchi, Paolo Moretti, Maura Casadio, Francesca Odone
A Study of At-term and Preterm Infants' Motion Based on Markerless Video Analysis. EUSIPCO (2021)
Matteo Moro, Fabio Rizzoglio, Francesca Odone, Maura Casadio
A Video-Based MarkerLess Body Machine Interface: A Pilot Study. ICPR Workshops (2) (2020)
Nicoletta Noceti, Francesca Odone, Antonio Marsella, Matteo Moro, Elena Nicora
Tangible Coding for kids with AI inside. UMAP (Adjunct Publication) (2020)
Matteo Moro, Claudio Andreatta, Chiara Corridori, Paolo Rota, Niculae Sebe
An Online Deep Learning Based System for Defects Detection in Glass Panels. ICPR Workshops (4) (2020)
Matteo Moro, Giorgia Marchesi, Francesca Odone, Maura Casadio
Markerless gait analysis in stroke survivors based on computer vision and deep learning: a pilot study. SAC (2020)