| ORACLE: Optimized radio classification through convolutional neural networks K Sankhe, M Belgiovine, F Zhou, S Riyaz, S Ioannidis, K Chowdhury IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 370-378, 2019 | 253 | 2019 |
| No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments K Sankhe, M Belgiovine, F Zhou, L Angioloni, F Restuccia, S D’Oro, ... IEEE Transactions on Cognitive Communications and Networking 6 (1), 165-178, 2019 | 157 | 2019 |
| DeepRadioID: Real-time channel-resilient optimization of deep learning-based radio fingerprinting algorithms F Restuccia, S D'Oro, A Al-Shawabka, M Belgiovine, L Angioloni, ... Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc …, 2019 | 131 | 2019 |
| Deep learning at the edge for channel estimation in beyond-5G massive MIMO M Belgiovine, K Sankhe, C Bocanegra, D Roy, KR Chowdhury IEEE Wireless Communications 28 (2), 19-25, 2021 | 45 | 2021 |
| Machine learning on camera images for fast mmWave beamforming B Salehi, M Belgiovine, SG Sanchez, J Dy, S Ioannidis, K Chowdhury 2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems …, 2020 | 16 | 2020 |
| Neural network-based OFDM receiver for resource constrained IoT devices N Soltani, H Cheng, M Belgiovine, Y Li, H Li, B Azari, S D'Oro, T Imbiriba, ... IEEE Internet of Things Magazine 5 (3), 158-164, 2022 | 12 | 2022 |
| Automated deep learning-based wide-band receiver B Azari, H Cheng, N Soltani, H Li, Y Li, M Belgiovine, T Imbiriba, S D’Oro, ... Computer Networks 218, 109367, 2022 | 10 | 2022 |
| Systems and methods for robust industrial optical character recognition L Goncalves, M Belgiovine US Patent 10,810,465, 2020 | 8 | 2020 |
| Going beyond RF: A survey on how AI-enabled multimodal beamforming will shape the NextG standard D Roy, B Salehi, S Banou, S Mohanti, G Reus-Muns, M Belgiovine, ... Computer Networks 228, 109729, 2023 | 5 | 2023 |
| GPGPU for track finding in High Energy Physics L Rinaldi, M Belgiovine, R Di Sipio, A Gabrielli, M Negrini, F Semeria, ... arXiv preprint arXiv:1507.03074, 2015 | 5 | 2015 |
| Software Defect Prediction on Unlabelled Dataset with Machine Learning Techniques E Ronchieri, M Canaparo, M Belgiovine, D Salomoni 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2019 | 2 | 2019 |
| TRACTOR: Traffic Analysis and Classification Tool for Open RAN J Groen, M Belgiovine, U Demir, B Kim, K Chowdhury arXiv preprint arXiv:2312.07896, 2023 | 1 | 2023 |
| Lessons Learned from the Assessment of Software Defect Prediction on WLCG Software: A Study with Unlabelled Datasets and Machine Learning Techniques E Ronchieri, M Canaparo, M Belgiovine, D Salomoni, B Martelli EPJ Web of Conferences 245, 05041, 2020 | 1 | 2020 |
| T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge M Belgiovine, J Groen, M Sirera, C Tassie, AY Yildiz, S Trudeau, ... arXiv preprint arXiv:2401.04837, 2024 | | 2024 |
| Detection of Co-Existing RF Signals in CBRS Using ML: Dataset and API-Based Collection Testbed C Tassie, A Gaber, V Chaudhary, N Soltani, M Belgiovine, M Loehning, ... IEEE Communications Magazine 61 (9), 82-88, 2023 | | 2023 |
| Improve your aim: a Deep Reinforcement Learning approach for 5G NR mmWave beam refinement M Belgiovine, K Chowdhury | | 2023 |
| Software Defect Prediction on Unlabelled Datasets: A Comparative Study E Ronchieri, M Canaparo, M Belgiovine International Conference on Computational Science and Its Applications, 333-353, 2020 | | 2020 |
| DeepRadioID F Restuccia, S D'Oro, A Al-Shawabka, M Belgiovine, L Angioloni, ... Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc …, 2019 | | 2019 |
| GPGPU for triggering in High Energy Physics Experiments S Amerio, M Belgiovine, R Di Sipio, A Gabrielli, A Gianelle, D Lucchesi, ... | | 2014 |
| MEGATRON: Machine Learning in 5G with Analysis of Traffic in Open Radio Access Networks M Belgiovine, J Gu, J Groen, M Sirera, U Demir, K Chowdhury | | |
