Francesco Gargiulo
Francesco Gargiulo
Technological Researcher, ICAR-CNR
Verified email at
Cited by
Cited by
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
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
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
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
Decision tree-based multiple classifier systems: An fpga perspective
M Barbareschi, S Del Prete, F Gargiulo, A Mazzeo, C Sansone
International Workshop on Multiple Classifier Systems, 194-205, 2015
Multiple classifier systems for image forgery detection
D Cozzolino, F Gargiulo, C Sansone, L Verdoliva
International Conference on Image Analysis and Processing, 259-268, 2013
A semantic driven approach for requirements verification
G Gigante, F Gargiulo, M Ficco
Intelligent Distributed Computing VIII, 427-436, 2015
Combining visual and textual features for filtering spam emails
F Gargiulo, C Sansone
2008 19th International Conference on Pattern Recognition, 1-4, 2008
Deep Convolution Neural Network for Extreme Multi-label Text Classification.
F Gargiulo, S Silvestri, M Ciampi
Healthinf, 641-650, 2018
Multiple classifier systems: theory, applications and tools
F Gargiulo, C Mazzariello, C Sansone
Handbook on Neural Information Processing, 335-378, 2013
Network protocol verification by a classifier selection ensemble
F Gargiulo, LI Kuncheva, C Sansone
International Workshop on Multiple Classifier Systems, 314-323, 2009
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
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
Pattern recognition approaches for classifying ip flows
A Este, F Gargiulo, F Gringoli, L Salgarelli, C Sansone
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2008
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
A deep learning approach for scientific paper semantic ranking
F Gargiulo, S Silvestri, M Fontanella, M Ciampi, G De Pietro
International Conference on Intelligent Interactive Multimedia Systems and …, 2018
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
Pattern Recognition Applications and Methods
A Fred, M De Marsico, M Figueiredo
ICPRAM, 2015
Influence of QT correction on temporal and amplitude features for human identification via ECG
M Sansone, A Fratini, M Cesarelli, P Bifulco, A Pepino, M Romano, ...
2013 IEEE Workshop on Biometric Measurements and Systems for Security and …, 2013
Combining Syntactic and Semantic Vector Space Models in the Health Domain by using a Clustering Ensemble.
F Amato, F Gargiulo, A Mazzeo, S Romano, C Sansone
HEALTHINF, 382-385, 2013
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