Paolo Napoletano

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Citations	5638	4728
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Raimondo SchettiniUniversity of Milano BicoccaVerified email at unimib.it
Simone BiancoAssociate Professor, University of Milano-BicoccaVerified email at unimib.it
Daniela MicucciUniversity of Milano Bicocca - DISCo.Verified email at unimib.it
Gianluigi CioccaAssociate Professor - University of Milano-BicoccaVerified email at unimib.it
Luigi CelonaAssistant Professor, University of Milano-BicoccaVerified email at unimib.it
Marco MobilioResearch Fellow, University of Milano-BicoccaVerified email at unimib.it
Massimo De SantoProfessor of Computer Networks, University of SalernoVerified email at unisa.it
Francesco ColaceDIIn - Università degli Studi di SalernoVerified email at unisa.it
Flavio PiccoliAssistant professor @ Università Milano-BicoccaVerified email at unimib.it
Giuseppe BoccignoneDepartment of Computer Science, Università di MilanoVerified email at unimi.it
Claudio CusanoProfessor at University of PaviaVerified email at unipv.it
Luca GrecoAssociate Professor, University of Salerno - ItalyVerified email at unisa.it
Anna FerrariUniversity of GenevaVerified email at unige.ch
Alessandro RozzaChief Research Officer - lastminute.com group and Senior IEEE memberVerified email at lastminute.com
Francesco BianconiUniversità degli Studi di PerugiaVerified email at ieee.org
Fabio CLARIZIAUniversità degli Studi di SalernoVerified email at unisa.it
Ruben Coen-CagliAlbert Einstein College of MedicineVerified email at einsteinmed.org
Vittorio CaggianoAI ResearchVerified email at fb.com
Marco LeonardiPhD student, University of Milano-Bicocca - UniMiBVerified email at campus.unimib.it
Mirko Paolo BarbatoUniversity of Milano-BicoccaVerified email at unimib.it

Paolo Napoletano

Associate Professor, University of Milano-Bicocca

Verified email at unimib.it - Homepage

Intelligent Sensors Computer Vision Pattern Recognition Deep Learning Artificial Intelligence


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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	980	2018
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	581	2017
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	386	2018
Anomaly detection in nanofibrous materials by CNN-based self-similarity P Napoletano, F Piccoli, R Schettini Sensors 18 (1), 209, 2018	311	2018
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	261	2016
On the personalization of classification models for human activity recognition A Ferrari, D Micucci, M Mobilio, P Napoletano IEEE Access 8, 32066-32079, 2020	159	2020
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	147	2018
Visual descriptors for content-based retrieval of remote-sensing images P Napoletano International journal of remote sensing 39 (5), 1343-1376, 2018	147	2018
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	131	2015
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	112	2020
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	92	2021
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	79	2018
Text classification using a few labeled examples F Colace, M De Santo, L Greco, P Napoletano Computers in Human Behavior 30, 689-697, 2014	75	2014
Evaluating color texture descriptors under large variations of controlled lighting conditions C Cusano, P Napoletano, R Schettini JOSA A 33 (1), 17-30, 2016	74	2016
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 International …, 2017	71	2017
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: ICIAP …, 2015	71	2015
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	69	2019
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	64	2017
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	60	2018
A LoRa-based mesh network for peer-to-peer long-range communication R Berto, P Napoletano, M Savi Sensors 21 (13), 4314, 2021	57	2021

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