| Decision making in IoT environment through unsupervised learning F Piccialli, G Casolla, S Cuomo, F Giampaolo, VS Di Cola IEEE Intelligent Systems 35 (1), 27-35, 2019 | 67 | 2019 |
| Exploring unsupervised learning techniques for the Internet of Things G Casolla, S Cuomo, VS Di Cola, F Piccialli IEEE Transactions on Industrial Informatics 16 (4), 2621-2628, 2019 | 66 | 2019 |
| A machine learning approach for IoT cultural data F Piccialli, S Cuomo, VS Cola, G Casolla Journal of Ambient Intelligence and Humanized Computing, 1-12, 2019 | 55 | 2019 |
| Nature-inspired algorithm-based secure data dissemination framework for smart city networks KN Qureshi, A Ahmad, F Piccialli, G Casolla, G Jeon Neural Computing and Applications 33, 10637-10656, 2021 | 54 | 2021 |
| Designing an efficient parallel spectral clustering algorithm on multi-core processors in Julia Z Huo, G Mei, G Casolla, F Giampaolo Journal of Parallel and Distributed Computing 138, 211-221, 2020 | 25 | 2020 |
| A deep learning approach for path prediction in a location-based IoT system F Piccialli, F Giampaolo, G Casolla, VS Di Cola, K Li Pervasive and Mobile computing 66, 101210, 2020 | 18 | 2020 |
| Path prediction in IoT systems through Markov Chain algorithm F Piccialli, S Cuomo, F Giampaolo, G Casolla, VS Di Cola Future Generation Computer Systems 109, 210-217, 2020 | 11 | 2020 |
| Unsupervised learning on multimedia data: a Cultural Heritage case study F Piccialli, G Casolla, S Cuomo, F Giampaolo, E Prezioso, VS Di Cola Multimedia tools and applications 79, 34429-34442, 2020 | 4 | 2020 |
| UNSUPERVISED LEARNING: Atime PERSPECTIVE ANALYSIS OF G CASOLLA, V SCHIANO | | |
