Vitoantonio Bevilacqua
Vitoantonio Bevilacqua
Full Professor in Electronic and Information Bioengineering, Head of Industrial Informatics Lab
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Cited by
Cited by
Computer vision and deep learning techniques for pedestrian detection and tracking: A survey
A Brunetti, D Buongiorno, GF Trotta, V Bevilacqua
Neurocomputing 300, 17-33, 2018
Real time RULA assessment using Kinect v2 sensor
VM Manghisi, AE Uva, M Fiorentino, V Bevilacqua, GF Trotta, G Monno
Applied ergonomics 65, 481-491, 2017
Emerging Intelligent Computing Technology and Applications: 5th International Conference on Intelligent Computing, ICIC 2009 Ulsan, South Korea, September 16-19, 2009 Proceedings
DS Huang, KH Jo, HH Lee
Springer-Verlag New York Inc, 2009
Assessment of speech intelligibility in Parkinson’s disease using a speech-to-text system
G Dimauro, V Di Nicola, V Bevilacqua, D Caivano, F Girardi
IEEE Access 5, 22199-22208, 2017
Classification of single normal and Alzheimer's disease individuals from cortical sources of resting state EEG rhythms
C Babiloni, AI Triggiani, R Lizio, S Cordone, G Tattoli, V Bevilacqua, ...
Frontiers in neuroscience 10, 47, 2016
An artificial neural network model to forecast exchange rates
V Pacelli, V Bevilacqua, M Azzollini
Journal of Intelligent Learning Systems and Applications 3 (02), 57, 2011
A novel multi-objective genetic algorithm approach to artificial neural network topology optimisation: the breast cancer classification problem
V Bevilacqua, G Mastronardi, F Menolascina, P Pannarale, A Pedone
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
Computer-assisted frameworks for classification of liver, breast and blood neoplasias via neural networks: A survey based on medical images
A Brunetti, L Carnimeo, GF Trotta, V Bevilacqua
Neurocomputing 335, 274-298, 2019
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson’s Disease
D Buongiorno, I Bortone, GD Cascarano, GF Trotta, A Brunetti, ...
BMC Medical Informatics and Decision Making 19, 1-13, 2019
A marker-less registration approach for mixed reality–aided maxillofacial surgery: a pilot evaluation
A Pepe, GF Trotta, P Mohr-Ziak, C Gsaxner, J Wallner, V Bevilacqua, ...
Journal of digital imaging 32, 1008-1018, 2019
Fall detection in indoor environment with kinect sensor
V Bevilacqua, N Nuzzolese, D Barone, M Pantaleo, M Suma, ...
2014 IEEE International Symposium on Innovations in Intelligent Systems and …, 2014
A novel BCI-SSVEP based approach for control of walking in virtual environment using a convolutional neural network
V Bevilacqua, G Tattoli, D Buongiorno, C Loconsole, D Leonardis, ...
2014 international joint conference on neural networks (IJCNN), 4121-4128, 2014
A combined method to detect retinal fundus features
V Bevilacqua, S Cambo, L Cariello, G Mastronardi
European Conference on Emergent Aspects in Clinical Data Analysis, 2005
Classification of healthy subjects and Alzheimer's disease patients with Dementia from cortical sources of resting state EEG rhythms: A study using artificial neural networks
AI Triggiani, V Bevilacqua, A Brunetti, R Lizio, G Tattoli, F Cassano, ...
Frontiers in neuroscience 10, 604, 2017
A novel approach to evaluate blood parameters using computer vision techniques
V Bevilacqua, G Dimauro, F Marino, A Brunetti, F Cassano, A Di Maio, ...
2016 IEEE international symposium on medical measurements and applications …, 2016
Semantic segmentation framework for glomeruli detection and classification in kidney histological sections
N Altini, GD Cascarano, A Brunetti, F Marino, MT Rocchetti, S Matino, ...
Electronics 9 (3), 503, 2020
Springer: Cham
DS Huang, KH Jo, J Li, V Gribova, V Bevilacqua
Switzerland 10878, 521-531, 2018
Advanced Intelligent Computing
DSHY Gan, V Bevilacqua, JC Figueroa
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
D Buongiorno, M Barsotti, F Barone, V Bevilacqua, A Frisoli
Frontiers in neurorobotics 12, 74, 2018
An optimized feed-forward artificial neural network topology to support radiologists in breast lesions classification
V Bevilacqua, A Brunetti, M Triggiani, D Magaletti, M Telegrafo, ...
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016
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