Domenico Buongiorno
Orcid: 0000-0002-2024-5369
According to our database1,
Domenico Buongiorno
authored at least 35 papers
between 2014 and 2023.
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Bibliography
2023
A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality.
Sensors, 2023
Deep Learning for Automatic Vision-Based Recognition of Industrial Surface Defects: A Survey.
IEEE Access, 2023
2022
Deep Learning Based Image Processing for Robot Assisted Surgery: A Systematic Literature Survey.
IEEE Access, 2022
Enhancement of aortic dissections in CT angiography: are common filters robust enough?
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
2021
A neural network for glomerulus classification based on histological images of kidney biopsy.
BMC Medical Informatics Decis. Mak., 2021
Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN.
Informatics, 2021
Towards online myoelectric control based on muscle synergies-to-force mapping for robotic applications.
Neurocomputing, 2021
Neurocomputing, 2021
2020
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
Remote mobile manipulation with the centauro robot: Full-body telepresence and autonomous operator assistance.
J. Field Robotics, 2020
Inf., 2020
Influence of clinical features of the spine on Gait Analysis in adolescent with idiopathic scoliosis.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
On the Analysis of the Relationship Between Alkaline Water Usage and Muscle Fatigue Recovery.
Proceedings of the Advances in Physical, Social & Occupational Ergonomics, 2020
2019
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019
Multi-DoFs Exoskeleton-Based Bilateral Teleoperation with the Time-Domain Passivity Approach.
Robotica, 2019
Biometric handwriting analysis to support Parkinson's Disease assessment and grading.
BMC Medical Informatics Decis. Mak., 2019
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease.
BMC Medical Informatics Decis. Mak., 2019
An undercomplete autoencoder to extract muscle synergies for motor intention detection.
Proceedings of the International Joint Conference on Neural Networks, 2019
Design and Development of a Robotic Platform Based on Virtual Reality Scenarios and Wearable Sensors for Upper Limb Rehabilitation and Visuomotor Coordination.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
An Innovative Neural Network Framework for Glomerulus Classification Based on Morphological and Texture Features Evaluated in Histological Images of Kidney Biopsy.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Evaluating Generalization Capability of Bio-inspired Models for a Myoelectric Control: A Pilot Study.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
2018
WRES: A Novel 3 DoF WRist ExoSkeleton With Tendon-Driven Differential Transmission for Neuro-Rehabilitation and Teleoperation.
IEEE Robotics Autom. Lett., 2018
Computer vision and deep learning techniques for pedestrian detection and tracking: A survey.
Neurocomputing, 2018
A Linear Approach to Optimize an EMG-Driven Neuromusculoskeletal Model for Movement Intention Detection in Myo-Control: A Case Study on Shoulder and Elbow Joints.
Frontiers Neurorobotics, 2018
A comparison between ANN and SVM classifiers for Parkinson's disease by using a model-free computer-assisted handwriting analysis based on biometric signals.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A Supervised Approach to Classify the Status of Bone Mineral Density in Post-Menopausal Women through Static and Dynamic Baropodometry.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Assessment and Rating of Movement Impairment in Parkinson's Disease Using a Low-Cost Vision-Based System.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
2017
PhD thesis, 2017
A Nonlinear Autoencoder for Kinematic Synergy Extraction from Movement Data Acquired with HTC Vive Trackers.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017
2016
A Linear Optimization Procedure for an EMG-driven NeuroMusculoSkeletal Model Parameters Adjusting: Validation Through a Myoelectric Exoskeleton Control.
Proceedings of the Haptics: Perception, Devices, Control, and Applications, 2016
2015
Advanced classification of Alzheimer's disease and healthy subjects based on EEG markers.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
A neuromusculoskeletal model of the human upper limb for a myoelectric exoskeleton control using a reduced number of muscles.
Proceedings of the 2015 IEEE World Haptics Conference, 2015
2014
A novel BCI-SSVEP based approach for control of walking in Virtual Environment using a Convolutional Neural Network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014