| Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing W Xu, Z Yang, DWK Ng, M Levorato, YC Eldar, M Debbah IEEE journal of selected topics in signal processing 17 (1), 9-39, 2023 | 423 | 2023 |
| Residential demand response using reinforcement learning D O'Neill, M Levorato, A Goldsmith, U Mitra in Smart Grid Communications (SmartGridComm), 2010 First IEEE International …, 2010 | 386 | 2010 |
| HiCH: Hierarchical fog-assisted computing architecture for healthcare IoT I Azimi, A Anzanpour, AM Rahmani, T Pahikkala, M Levorato, P Liljeberg, ... ACM Transactions on Embedded Computing Systems (TECS) 16 (5s), 1-20, 2017 | 247 | 2017 |
| Split computing and early exiting for deep learning applications: Survey and research challenges Y Matsubara, M Levorato, F Restuccia ACM Computing Surveys 55 (5), 1-30, 2022 | 232 | 2022 |
| Auction-based charging scheduling with deep learning framework for multi-drone networks MJ Shin, J Kim, M Levorato IEEE Transactions on Vehicular Technology 68 (5), 4235-4248, 2019 | 145 | 2019 |
| Extended range electric vehicle with driving behavior estimation in energy management K Vatanparvar, S Faezi, I Burago, M Levorato, MA Al Faruque IEEE transactions on Smart Grid 10 (3), 2959-2968, 2018 | 130 | 2018 |
| FlyNetSim: An open source synchronized UAV network simulator based on ns-3 and ardupilot S Baidya, Z Shaikh, M Levorato Proceedings of the 21st ACM International Conference on Modeling, Analysis …, 2018 | 119 | 2018 |
| Cognitive interference management in retransmission-based wireless networks M Levorato, U Mitra, M Zorzi IEEE Transactions on Information Theory 58 (5), 3023-3046, 2012 | 116 | 2012 |
| Distilled split deep neural networks for edge-assisted real-time systems Y Matsubara, S Baidya, D Callegaro, M Levorato, S Singh Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and …, 2019 | 109 | 2019 |
| KNOWME: a case study in wireless body area sensor network design U Mitra, BA Emken, S Lee, M Li, V Rozgic, G Thatte, H Vathsangam, ... IEEE Communications Magazine 50 (5), 116-125, 2012 | 108 | 2012 |
| Energy-efficient, heterogeneous sensor selection for physical activity detection in wireless body area networks DS Zois, M Levorato, U Mitra IEEE Transactions on signal processing 61 (7), 1581-1594, 2013 | 97 | 2013 |
| Supervised compression for resource-constrained edge computing systems Y Matsubara, R Yang, M Levorato, S Mandt Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 83 | 2022 |
| Residential Consumer-Centric Demand Side Management N Ahmed, M Levorato, GP Li IEEE Transactions on Smart Grid, 2017 | 80 | 2017 |
| A Markov framework for error control techniques based on selective retransmission in video transmission over wireless channels L Badia, N Baldo, M Levorato, M Zorzi IEEE Journal on Selected Areas in Communications 28 (3), 488-500, 2010 | 80 | 2010 |
| Head network distillation: Splitting distilled deep neural networks for resource-constrained edge computing systems Y Matsubara, D Callegaro, S Baidya, M Levorato, S Singh IEEE Access 8, 212177-212193, 2020 | 76 | 2020 |
| Markov analysis of selective repeat type II hybrid ARQ using block codes L Badia, M Levorato, M Zorzi IEEE Transactions on Communications 56 (9), 1434-1441, 2008 | 76 | 2008 |
| Analysis of non-cooperative and cooperative type II hybrid ARQ protocols with AMC over correlated fading channels JS Harsini, F Lahouti, M Levorato, M Zorzi IEEE Transactions on Wireless Communications 10 (3), 877-889, 2011 | 72 | 2011 |
| Neural compression and filtering for edge-assisted real-time object detection in challenged networks Y Matsubara, M Levorato 2020 25th International Conference on Pattern Recognition (ICPR), 2272-2279, 2021 | 69 | 2021 |
| Performance analysis of end-to-end security schemes in healthcare IoT SR Moosavi, E Nigussie, M Levorato, S Virtanen, J Isoaho Procedia computer science 130, 432-439, 2018 | 66 | 2018 |
| Bottlefit: Learning compressed representations in deep neural networks for effective and efficient split computing Y Matsubara, D Callegaro, S Singh, M Levorato, F Restuccia 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and …, 2022 | 58 | 2022 |
Michele ZorziDept. of Information Engineering - University of Padova, ItalyBestätigte E-Mail-Adresse bei dei.unipd.it
