| Optimal scheduling in the hybrid-cloud M Shifrin, R Atar, I Cidon 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2013 | 40 | 2013 |
| Data gathering techniques in wsn: a cross-layer view O Gurewitz, M Shifrin, E Dvir Sensors 22 (7), 2650, 2022 | 27 | 2022 |
| Near-optimal insulin treatment for diabetes patients: a machine learning approach M Shifrin, H Siegelmann Artificial Intelligence in Medicine 107, 101917, 2020 | 23 | 2020 |
| Optimal control of VNF deployment and scheduling M Shifrin, E Biton, O Gurewitz 2016 IEEE International Conference on the Science of Electrical Engineering …, 2016 | 18 | 2016 |
| VM scaling and load balancing via cost optimal MDP solution M Shifrin, R Mitrany, E Biton, O Gurewitz IEEE Transactions on Cloud Computing 10 (3), 2219-2237, 2020 | 17 | 2020 |
| An asymptotic optimality result for the multiclass queue with finite buffers in heavy traffic R Atar, M Shifrin Stochastic Systems 4 (2), 556-603, 2015 | 17 | 2015 |
| Coded retransmission in wireless networks via abstract MDPs: Theory and algorithms M Shifrin, A Cohen, O Weisman, O Gurewitz IEEE Transactions on Wireless Communications 15 (6), 4292-4306, 2016 | 10 | 2016 |
| MDP based optimal pricing for a cloud computing queueing model R Atar, I Cidon, M Shifrin Performance Evaluation 78, 1-6, 2014 | 9 | 2014 |
| Modeling TCP in small-buffer networks M Shifrin, I Keslassy NETWORKING 2008 Ad Hoc and Sensor Networks, Wireless Networks, Next …, 2008 | 9 | 2008 |
| C3: Collective congestion control in multi-hop wireless networks M Shifrin, I Cidon 2010 Seventh International Conference on Wireless On-demand Network Systems …, 2010 | 6 | 2010 |
| Small-buffer networks M Shifrin, I Keslassy Computer Networks 53 (14), 2552-2565, 2009 | 6 | 2009 |
| Scaling of cloud resources-principal component analysis and random forest approach O Anisfeld, E Biton, R Milshtein, M Shifrin, O Gurewitz 2018 IEEE International Conference on the Science of Electrical Engineering …, 2018 | 5 | 2018 |
| AdaEE: Adaptive early-exit DNN inference through multi-armed bandits RG Pacheco, M Shifrin, RS Couto, DS Menasché, MK Hanawal, ... ICC 2023-IEEE International Conference on Communications, 3726-3731, 2023 | 4 | 2023 |
| Insulin Regimen ML-based control for T2DM patients M Shifrin, H Siegelmann arXiv preprint arXiv:1710.07855, 2017 | 3 | 2017 |
| Admission and Scheduling Control in Cloud Computing-Markov Decision Processes and Diffusion Approximations M Shifrin Technion-Israel Institute of Technology, Faculty of Electrical Engineering, 2013 | 3 | 2013 |
| The Gaussian nature of TCP in large networks M Shifrin Technion-Israel Institute of Technology, Faculty of Electrical Engineering, 2007 | 2 | 2007 |
| Cooperative Multi-Agent Reinforcement Learning for Data Gathering in Energy-Harvesting Wireless Sensor Networks E Dvir, M Shifrin, O Gurewitz Mathematics 12 (13), 2102, 2024 | 1 | 2024 |
| An smdp approach to optimal phy configuration in wireless networks M Shifrin, DS Menasché, A Cohen, O Gurewitz, D Goeckel 2017 13th Annual Conference on Wireless On-demand Network Systems and …, 2017 | 1 | 2017 |
| VM Scaling and Load Balancing via Cost Optimal MDP Solution M Shifrin, R Mitrany, E Biton, O Gurewitz arXiv preprint arXiv:1611.06956, 2016 | 1 | 2016 |
| Optimal Dynamic Routing for the Wireless Relay Channel A Cohen, D Goeckel, O Gurewitz, DS Menasche, M Shifrin arXiv preprint arXiv:1601.06859, 2016 | 1 | 2016 |
Rami AtarTechnion在 ee.technion.ac.il 的电子邮件经过验证
