| 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 | 475 | 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 | 216 | 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 | 173* | 2009 |
| An artificial neural network model to forecast exchange rates V Pacelli, V Bevilacqua, M Azzollini Journal of Intelligent Learning Systems and Applications 3 (02), 57-69, 2011 | 95 | 2011 |
| 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 | 91 | 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 | 89 | 2016 |
| 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 | 82 | 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 | 66 | 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 | 66 | 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 | 63 | 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 | 62 | 2005 |
| 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 | 59 | 2019 |
| 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 | 59 | 2017 |
| 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 | 53 | 2020 |
| 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 | 53 | 2016 |
| 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 | 53 | 2016 |
| Comparison of data-merging methods with SVM attribute selection and classification in breast cancer gene expression V Bevilacqua, P Pannarale, M Abbrescia, C Cava, A Paradiso, S Tommasi BMC bioinformatics 13, 1-15, 2012 | 52 | 2012 |
| Performance assessment in fingerprinting and multi component quantitative NMR analyses V Gallo, N Intini, P Mastrorilli, M Latronico, P Scapicchio, M Triggiani, ... Analytical Chemistry 87 (13), 6709-6717, 2015 | 51 | 2015 |
| A face recognition system based on Pseudo 2D HMM applied to neural network coefficients V Bevilacqua, L Cariello, G Carro, D Daleno, G Mastronardi Soft Computing 12, 615-621, 2008 | 51 | 2008 |
| 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 | 50 | 2019 |
Domenico Buongiorno, PhDAssistant Professor at Politecnico di BariVerified email at poliba.it
