| Benchmark analysis of representative deep neural network architectures S Bianco, R Cadene, L Celona, P Napoletano IEEE access 6, 64270-64277, 2018 | 1040 | 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 | 630 | 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 | 400 | 2018 |
| Anomaly detection in nanofibrous materials by CNN-based self-similarity P Napoletano, F Piccoli, R Schettini Sensors 18 (1), 209, 2018 | 333 | 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 | 287 | 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 | 169 | 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 | 161 | 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 | 141 | 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 | 122 | 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 | 108 | 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 |
| Evaluating color texture descriptors under large variations of controlled lighting conditions C Cusano, P Napoletano, R Schettini JOSA A 33 (1), 17-30, 2016 | 78 | 2016 |
| Text classification using a few labeled examples F Colace, M De Santo, L Greco, P Napoletano Computers in Human Behavior 30, 689-697, 2014 | 77 | 2014 |
| Deep learning and model personalization in sensor-based human activity recognition A Ferrari, D Micucci, M Mobilio, P Napoletano Journal of Reliable Intelligent Environments 9 (1), 27-39, 2023 | 76 | 2023 |
| 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 | 75 | 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 | 73 | 2019 |
| 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 |
| A lora-based mesh network for peer-to-peer long-range communication R Berto, P Napoletano, M Savi Sensors 21 (13), 4314, 2021 | 69 | 2021 |
| 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 | 67 | 2017 |
Raimondo SchettiniUniversity of Milano Bicocca確認したメール アドレス: unimib.it
