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Paolo Napoletano
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Benchmark analysis of representative deep neural network architectures
S Bianco, R Cadene, L Celona, P Napoletano
IEEE Access 6, 64270-64277, 2018
5172018
Unimib shar: A dataset for human activity recognition using acceleration data from smartphones
D Micucci, M Mobilio, P Napoletano
Applied Sciences 7 (10), 1101, 2017
2892017
On the use of deep learning for blind image quality assessment
S Bianco, L Celona, P Napoletano, R Schettini
Signal, Image and Video Processing 12 (2), 355-362, 2018
2402018
Food recognition: a new dataset, experiments, and results
G Ciocca, P Napoletano, R Schettini
IEEE journal of biomedical and health informatics 21 (3), 588-598, 2016
1652016
Anomaly detection in nanofibrous materials by CNN-based self-similarity
P Napoletano, F Piccoli, R Schettini
Sensors 18 (1), 209, 2018
1552018
Visual descriptors for content-based retrieval of remote-sensing images
P Napoletano
International journal of remote sensing 39 (5), 1343-1376, 2018
1182018
An interactive tool for manual, semi-automatic and automatic video annotation
S Bianco, G Ciocca, P Napoletano, R Schettini
Computer Vision and Image Understanding 131, 88-99, 2015
952015
CNN-based features for retrieval and classification of food images
G Ciocca, P Napoletano, R Schettini
Computer Vision and Image Understanding 176, 70-77, 2018
822018
Text classification using a few labeled examples
F Colace, M De Santo, L Greco, P Napoletano
Computers in Human Behavior 30, 689-697, 2014
672014
On the personalization of classification models for human activity recognition
A Ferrari, D Micucci, M Mobilio, P Napoletano
IEEE Access 8, 32066-32079, 2020
632020
Automated pruning for deep neural network compression
F Manessi, A Rozza, S Bianco, P Napoletano, R Schettini
2018 24th International conference on pattern recognition (ICPR), 657-664, 2018
582018
Evaluating color texture descriptors under large variations of controlled lighting conditions
C Cusano, P Napoletano, R Schettini
JOSA A 33 (1), 17-30, 2016
572016
Falls as anomalies? An experimental evaluation using smartphone accelerometer data
D Micucci, M Mobilio, P Napoletano, F Tisato
Journal of Ambient Intelligence and Humanized Computing 8 (1), 87-99, 2017
542017
Combining local binary patterns and local color contrast for texture classification under varying illumination
C Cusano, P Napoletano, R Schettini
JOSA A 31 (7), 1453-1461, 2014
532014
Improved opponent color local binary patterns: an effective local image descriptor for color texture classification
F Bianconi, R Bello-Cerezo, P Napoletano
Journal of Electronic Imaging 27 (1), 011002, 2017
492017
Learning CNN-based features for retrieval of food images
G Ciocca, P Napoletano, R Schettini
International Conference on Image Analysis and Processing, 426-434, 2017
472017
Food recognition and leftover estimation for daily diet monitoring
G Ciocca, P Napoletano, R Schettini
International Conference on Image Analysis and Processing, 334-341, 2015
472015
Visuomotor characterization of eye movements in a drawing task
R Coen-Cagli, P Coraggio, P Napoletano, O Schwartz, M Ferraro, ...
Vision research 49 (8), 810-818, 2009
472009
Bayesian integration of face and low-level cues for foveated video coding
G Boccignone, A Marcelli, P Napoletano, G Di Fiore, G Iacovoni, S Morsa
IEEE Transactions on Circuits and Systems for Video Technology 18 (12), 1727 …, 2008
472008
Weighted word pairs for query expansion
F Colace, M De Santo, L Greco, P Napoletano
Information Processing & Management 51 (1), 179-193, 2015
462015
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Artiklar 1–20