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Paolo Napoletano
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Cited by
Year
Benchmark analysis of representative deep neural network architectures
S Bianco, R Cadene, L Celona, P Napoletano
IEEE access 6, 64270-64277, 2018
8332018
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
4712017
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, 355-362, 2018
3362018
Anomaly detection in nanofibrous materials by CNN-based self-similarity
P Napoletano, F Piccoli, R Schettini
Sensors 18 (1), 209, 2018
2632018
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
2292016
Visual descriptors for content-based retrieval of remote-sensing images
P Napoletano
International journal of remote sensing 39 (5), 1343-1376, 2018
1362018
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
1312018
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
1162015
On the personalization of classification models for human activity recognition
A Ferrari, D Micucci, M Mobilio, P Napoletano
IEEE Access 8, 32066-32079, 2020
1112020
Positive technology for elderly well-being: A review
G Grossi, R Lanzarotti, P Napoletano, N Noceti, F Odone
Pattern Recognition Letters 137, 61-70, 2020
872020
Text classification using a few labeled examples
F Colace, M De Santo, L Greco, P Napoletano
Computers in Human Behavior 30, 689-697, 2014
742014
Evaluating color texture descriptors under large variations of controlled lighting conditions
C Cusano, P Napoletano, R Schettini
JOSA A 33 (1), 17-30, 2016
712016
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
672018
Trends in human activity recognition using smartphones
A Ferrari, D Micucci, M Mobilio, P Napoletano
Journal of Reliable Intelligent Environments 7 (3), 189-213, 2021
652021
Learning CNN-based features for retrieval of food images
G Ciocca, P Napoletano, R Schettini
New Trends in Image Analysis and Processing–ICIAP 2017: ICIAP Internationalá…, 2017
652017
Food recognition and leftover estimation for daily diet monitoring
G Ciocca, P Napoletano, R Schettini
New Trends in Image Analysis and Processing--ICIAP 2015 Workshops: ICIAPá…, 2015
652015
Comparative evaluation of hand-crafted image descriptors vs. off-the-shelf CNN-based features for colour texture classification under ideal and realistic conditions
R Bello-Cerezo, F Bianconi, F Di Maria, P Napoletano, F Smeraldi
Applied Sciences 9 (4), 738, 2019
612019
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
602017
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
562014
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), 011002-011002, 2018
552018
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