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Mauro Belgiovine
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2020 – today
- 2024
- [c9]Joshua Groen, Mauro Belgiovine, Utku Demir, Brian Kim, Kaushik R. Chowdhury:
TRACTOR: Traffic Analysis and Classification Tool for Open RAN. ICC 2024: 4894-4899 - [c8]Chinenye Tassie, Brian Kim, Joshua Groen, Mauro Belgiovine, Kaushik R. Chowdhury:
Leveraging Explainable AI for Reducing Queries of Performance Indicators in Open RAN. ICC 2024: 5413-5418 - [c7]Mauro Belgiovine, Jerry Gu, Joshua Groen, Miquel Sirera, Utku Demir, Kaushik R. Chowdhury:
MEGATRON: Machine Learning in 5G with Analysis of Traffic in Open Radio Access Networks. ICNC 2024: 1054-1058 - [c6]Mauro Belgiovine, Joshua Groen, Miquel Sirera, Chinenye Tassie, Sage Trudeau, Stratis Ioannidis, Kaushik R. Chowdhury:
T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge. INFOCOM 2024: 1031-1040 - [i7]Mauro Belgiovine, Joshua Groen, Miquel Sirera, Chinenye Tassie, Ayberk Yarkin Yildiz, Sage Trudeau, Stratis Ioannidis, Kaushik R. Chowdhury:
T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge. CoRR abs/2401.04837 (2024) - 2023
- [j6]Chinenye Tassie, Abdo Gaber, Vini Chaudhary, Nasim Soltani, Mauro Belgiovine, Michael Löhning, Vincent Kotzsch, Charles Schroeder, Kaushik R. Chowdhury:
Detection of Co- Existing RF Signals in CBRS Using ML: Dataset and API-Based Collection Testbed. IEEE Commun. Mag. 61(9): 82-88 (2023) - [j5]Debashri Roy, Batool Salehi, Stella Banou, Subhramoy Mohanti, Guillem Reus Muns, Mauro Belgiovine, Prashant Ganesh, Chris Dick, Kaushik R. Chowdhury:
Going beyond RF: A survey on how AI-enabled multimodal beamforming will shape the NextG standard. Comput. Networks 228: 109729 (2023) - [c5]Mauro Belgiovine, Kaushik R. Chowdhury:
Improve Your Aim: A Deep Reinforcement Learning Approach for 5G NR mmWave Beam Refinement. ICC 2023: 5658-5663 - [i6]Joshua Groen, Mauro Belgiovine, Utku Demir, Brian Kim, Kaushik R. Chowdhury:
TRACTOR: Traffic Analysis and Classification Tool for Open RAN. CoRR abs/2312.07896 (2023) - 2022
- [j4]Bahar Azari, Hai Cheng, Nasim Soltani, Haoqing Li, Yanyu Li, Mauro Belgiovine, Tales Imbiriba, Salvatore D'Oro, Tommaso Melodia, Yanzhi Wang, Pau Closas, Kaushik R. Chowdhury, Deniz Erdogmus:
Automated deep learning-based wide-band receiver. Comput. Networks 218: 109367 (2022) - [j3]Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury:
Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices. IEEE Internet Things Mag. 5(3): 158-164 (2022) - [d1]Chinenye Tassie, Abdo Gaber, Vini Chaudhary, Nasim Soltani, Mauro Belgiovine, Michael Löhning, Vincent Kotzsch, Charles Schroeder, Kaushik R. Chowdhury:
Real-world Radar and LTE Signals Dataset Collected Over-the-air in Shared CBRS Band. IEEE DataPort, 2022 - [i5]Debashri Roy, Batool Salehi, Stella Banou, Subhramoy Mohanti, Guillem Reus Muns, Mauro Belgiovine, Prashant Ganesh, Carlos Bocanegra, Chris Dick, Kaushik R. Chowdhury:
Going Beyond RF: How AI-enabled Multimodal Beamforming will Shape the NextG Standard. CoRR abs/2203.16706 (2022) - [i4]Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury:
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices. CoRR abs/2205.06159 (2022) - 2021
- [j2]Mauro Belgiovine, Kunal Sankhe, Carlos Bocanegra, Debashri Roy, Kaushik R. Chowdhury:
Deep Learning at the Edge for Channel Estimation in Beyond-5G Massive MIMO. IEEE Wirel. Commun. 28(2): 19-25 (2021) - [i3]Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Machine Learning on Camera Images for Fast mmWave Beamforming. CoRR abs/2102.07337 (2021) - 2020
- [j1]Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Luca Angioloni, Francesco Restuccia, Salvatore D'Oro, Tommaso Melodia, Stratis Ioannidis, Kaushik R. Chowdhury:
No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments. IEEE Trans. Cogn. Commun. Netw. 6(1): 165-178 (2020) - [c4]Elisabetta Ronchieri, Marco Canaparo, Mauro Belgiovine:
Software Defect Prediction on Unlabelled Datasets: A Comparative Study. ICCSA (2) 2020: 333-353 - [c3]Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Machine Learning on Camera Images for Fast mmWave Beamforming. MASS 2020: 338-346
2010 – 2019
- 2019
- [c2]Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Shamnaz Riyaz, Stratis Ioannidis, Kaushik R. Chowdhury:
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks. INFOCOM 2019: 370-378 - [c1]Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Mauro Belgiovine, Luca Angioloni, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia:
DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms. MobiHoc 2019: 51-60 - [i2]Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Mauro Belgiovine, Luca Angioloni, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia:
DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms. CoRR abs/1904.07623 (2019) - 2018
- [i1]Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Shamnaz Riyaz, Stratis Ioannidis, Kaushik R. Chowdhury:
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks. CoRR abs/1812.01124 (2018)
Coauthor Index
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