Carlo Ricciardi

Orcid: 0000-0001-7290-6432

According to our database1, Carlo Ricciardi authored at least 37 papers between 2019 and 2024.

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Bibliography

2024
The Role of Deep Learning and Gait Analysis in Parkinson's Disease: A Systematic Review.
Sensors, September, 2024

2023
Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy.
Sensors, December, 2023

Impact of the Number of Needle Tip Bevels on the Exerted Forces and Energy in Insulin Pen Injections.
Sensors, October, 2023

Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study.
Frontiers Digit. Health, March, 2023

Identification of a Gait Pattern for Detecting Mild Cognitive Impairment in Parkinson's Disease.
Sensors, February, 2023

Diagnostic Applications of Intraoral Scanners: A Systematic Review.
J. Imaging, 2023

A Cluster Analysis for Parkinson's Disease Phenotyping with Gait Parameters.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Heart Rate Variability During a Complex Postural Control Task with the BioVRSea Paradigm.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Using Wearable Sensors and Motion Parameters for Recognizing Progressive Supranuclear Palsy Phenotypes.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Mackey-Glass Time Series Forecasting by Nanowire Networks.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Advanced 3D Printing of Patient-Specific Human Heart for Improved Surgical Planning.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022
Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson's Disease.
Sensors, 2022

Connectome of memristive nanowire networks through graph theory.
Neural Networks, 2022

Grid-graph modeling of emergent neuromorphic dynamics and heterosynaptic plasticity in memristive nanonetworks.
Neuromorph. Comput. Eng., 2022

2022 roadmap on neuromorphic computing and engineering.
Neuromorph. Comput. Eng., 2022

Performing a short sway to distinguish Parkinsonisms.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Combining simulation and machine learning for the management of healthcare systems.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Breast Density Analysis on Mammograms: Application of Machine Learning with Textural Features.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Unsupervised Machine Learning to Identify Convalescent COVID-19 Phenotypes.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

Speech recognition through physical reservoir computing with neuromorphic nanowire networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Healthy Aging Within an Image: Using Muscle Radiodensitometry and Lifestyle Factors to Predict Diabetes and Hypertension.
IEEE J. Biomed. Health Informatics, 2021

A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI Dataset.
J. Imaging, 2021

2021 Roadmap on Neuromorphic Computing and Engineering.
CoRR, 2021

2020
Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment.
Sensors, 2020

MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study.
J. Digit. Imaging, 2020

Linear discriminant analysis and principal component analysis to predict coronary artery disease.
Health Informatics J., 2020

Classifying the type of delivery from cardiotocographic signals: A machine learning approach.
Comput. Methods Programs Biomed., 2020

Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center.
Comput. Methods Programs Biomed., 2020

Brain-Inspired Structural Plasticity through Reweighting and Rewiring in Multi-Terminal Self-Organizing Memristive Nanowire Networks.
Adv. Intell. Syst., 2020

A quantitative analysis of muscular co-activation on EMG signals in spastic patients treated with Botulinum toxin.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

Machine learning can detect the presence of Mild cognitive impairment in patients affected by Parkinson's Disease.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

Classifying patients affected by Parkinson's disease into freezers or non-freezers through machine learning.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

A Regression Approach to Assess Bone Mineral Density of Patients undergoing Total Hip Arthroplasty through Gait Analysis.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

Machine Learning Approaches for Diabetes Classification: Perspectives to Artificial Intelligence Methods Updating.
Proceedings of the 5th International Conference on Internet of Things, 2020

2019
Self-organizing memristive nanowire networks with structural plasticity emulate biological neuronal circuits.
CoRR, 2019

Using gait analysis' parameters to classify Parkinsonism: A data mining approach.
Comput. Methods Programs Biomed., 2019

Multi-ReRAM Synapses for Artificial Neural Network Training.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019


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