| Deep neural network for hierarchical extreme multi-label text classification F Gargiulo, S Silvestri, M Ciampi, G De Pietro Applied Soft Computing 79, 125-138, 2019 | 158 | 2019 |
| Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set R Catelli, F Gargiulo, V Casola, G De Pietro, H Fujita, M Esposito Applied soft computing 97, 106779, 2020 | 82 | 2020 |
| Identification of traffic flows hiding behind TCP port 80 A Dainotti, F Gargiulo, LI Kuncheva, A Pescapè, C Sansone 2010 IEEE International Conference on Communications, 1-6, 2010 | 63 | 2010 |
| Deep Convolution Neural Network for Extreme Multi-label Text Classification. F Gargiulo, S Silvestri, M Ciampi Healthinf, 641-650, 2018 | 49 | 2018 |
| One-class SVM based approach for detecting anomalous audio events F Aurino, M Folla, F Gargiulo, V Moscato, A Picariello, C Sansone 2014 International Conference on Intelligent Networking and Collaborative …, 2014 | 49 | 2014 |
| Subject identification via ECG fiducial-based systems: Influence of the type of QT interval correction F Gargiulo, A Fratini, M Sansone, C Sansone Computer methods and programs in biomedicine 121 (3), 127-136, 2015 | 45 | 2015 |
| Decision tree-based multiple classifier systems: An fpga perspective M Barbareschi, S Del Prete, F Gargiulo, A Mazzeo, C Sansone Multiple Classifier Systems: 12th International Workshop, MCS 2015, Günzburg …, 2015 | 39 | 2015 |
| A big data architecture for the extraction and analysis of EHR data S Silvestri, A Esposito, F Gargiulo, M Sicuranza, M Ciampi, G De Pietro 2019 IEEE World Congress on Services (SERVICES) 2642, 283-288, 2019 | 36 | 2019 |
| A novel covid-19 data set and an effective deep learning approach for the de-identification of italian medical records R Catelli, F Gargiulo, V Casola, G De Pietro, H Fujita, M Esposito Ieee Access 9, 19097-19110, 2021 | 27 | 2021 |
| Exploit multilingual language model at scale for ICD-10 clinical text classification S Silvestri, F Gargiulo, M Ciampi, G De Pietro 2020 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2020 | 26 | 2020 |
| Best practices for portfolio optimization by quantum computing, experimented on real quantum devices G Buonaiuto, F Gargiulo, G De Pietro, M Esposito, M Pota https://doi.org/10.1038/s41598-023-45392-w. 13 (1), 1-14, 2023 | 25 | 2023 |
| Multiple classifier systems for image forgery detection D Cozzolino, F Gargiulo, C Sansone, L Verdoliva Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013 | 23 | 2013 |
| A semantic driven approach for requirements verification G Gigante, F Gargiulo, M Ficco Intelligent distributed computing VIII, 427-436, 2015 | 22 | 2015 |
| Iterative annotation of biomedical ner corpora with deep neural networks and knowledge bases S Silvestri, F Gargiulo, M Ciampi Applied sciences 12 (12), 5775, 2022 | 21 | 2022 |
| A big data architecture for knowledge discovery in PubMed articles F Gargiulo, S Silvestri, M Ciampi 2017 IEEE Symposium on Computers and Communications (ISCC), 82-87, 2017 | 20 | 2017 |
| Combining visual and textual features for filtering spam emails F Gargiulo, C Sansone 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 20 | 2008 |
| A deep learning approach for scientific paper semantic ranking F Gargiulo, S Silvestri, M Fontanella, M Ciampi, G De Pietro Intelligent Interactive Multimedia Systems and Services 2017 10, 471-481, 2018 | 18 | 2018 |
| Multiple classifier systems: theory, applications and tools F Gargiulo, C Mazzariello, C Sansone Handbook on Neural Information Processing, 335-378, 2013 | 18 | 2013 |
| A clustering based methodology to support the translation of medical specifications to software models F Gargiulo, S Silvestri, M Ciampi Applied Soft Computing 71, 199-212, 2018 | 17 | 2018 |
| Improving biomedical information extraction with word embeddings trained on closed-domain corpora S Silvestri, F Gargiulo, M Ciampi 2019 IEEE symposium on computers and communications (ISCC), 1129-1134, 2019 | 16 | 2019 |
Carlo SansoneFull Professor, Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'InformazioneEmail verificata su unina.it
