Francesco Gargiulo
Francesco Gargiulo
Technological Researcher, ICAR-CNR
Verified email at
Cited by
Cited by
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
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
Identification of traffic flows hiding behind TCP port 80
A Dainotti, F Gargiulo, LI Kuncheva, A Pescapč, C Sansone
2010 IEEE International Conference on Communications, 1-6, 2010
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
Deep Convolution Neural Network for Extreme Multi-label Text Classification.
F Gargiulo, S Silvestri, M Ciampi
Healthinf, 641-650, 2018
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
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
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
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
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
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
A semantic driven approach for requirements verification
G Gigante, F Gargiulo, M Ficco
Intelligent Distributed Computing VIII, 427-436, 2015
Multiple classifier systems: theory, applications and tools
F Gargiulo, C Mazzariello, C Sansone
Handbook on Neural Information Processing, 335-378, 2013
Combining visual and textual features for filtering spam emails
F Gargiulo, C Sansone
2008 19th International Conference on Pattern Recognition, 1-4, 2008
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
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
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
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
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
A study on textual features for medical records classification
A Alicante, F Amato, G Cozzolino, F Gargiulo, N Improda, A Mazzeo
Innovation in Medicine and Healthcare 207, 370, 2015
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