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Medical & Biological Engineering & Computing|July 21, 2016
Selection of clinical features for pattern recognition applied to gait analysisRosa Altilio, Marco Paoloni, Massimo PanellaMedical & Biological Engineering & Computing|February 6, 2021
A comparison of machine learning classifiers for smartphone-based gait analysisRosa Altilio, Andrea Rossetti, Qiang Fang, et al.Neural Networks : the Official Journal of the International Neural Network Society|September 20, 2023
An adaptive embedding procedure for time series forecasting with deep neural networksFederico Succetti, Antonello Rosato, Massimo PanellaNeural Networks : the Official Journal of the International Neural Network Society|September 6, 2015
A decentralized training algorithm for Echo State Networks in distributed big data applicationsSimone Scardapane, Dianhui Wang, Massimo PanellaIEEE Transactions on Neural Networks and Learning Systems|January 24, 2017
Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix CompletionRoberto Fierimonte, Simone Scardapane, Aurelio Uncini, et al.Sensors (Basel, Switzerland)|September 9, 2023
Multi-Damage Detection in Composite Space Structures via Deep LearningFederica Angeletti, Paolo Gasbarri, Massimo Panella, et al.International Journal of Neural Systems|December 8, 2023
Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder DetectionFederica Colonnese, Francesco Di Luzio, Antonello Rosato, et al.Sensors (Basel, Switzerland)|December 17, 2024
Enhancing Autism Detection Through Gaze Analysis Using Eye Tracking Sensors and Data Attribution with Distillation in Deep Neural NetworksFederica Colonnese, Francesco Di Luzio, Antonello Rosato, et al.Clinical Cases in Mineral and Bone Metabolism : the Official Journal of the Italian Society of Osteoporosis, Mineral Metabolism, and Skeletal Diseases|January 9, 2015
Clinical definition of sarcopeniaValter Santilli, Andrea Bernetti, Massimiliano Mangone, et al.Medical & Biological Engineering & Computing|December 3, 2016
A novel fuzzy approach for automatic Brunnstrom stage classification using surface electromyographyLuca Liparulo, Zhe Zhang, Massimo Panella, et al.Pageof 14