| Towards 5G: A reinforcement learning-based scheduling solution for data traffic management IS Comşa, S Zhang, ME Aydin, P Kuonen, Y Lu, R Trestian, G Ghinea IEEE Transactions on Network and Service Management 15 (4), 1661-1675, 2018 | 106 | 2018 |
| Seamless multimedia delivery within a heterogeneous wireless networks environment: Are we there yet? R Trestian, IS Comsa, MF Tuysuz IEEE Communications Surveys & Tutorials 20 (2), 945-977, 2018 | 73 | 2018 |
| An innovative machine-learning-based scheduling solution for improving live UHD video streaming quality in highly dynamic network environments IS Comşa, GM Muntean, R Trestian IEEE Transactions on Broadcasting 67 (1), 212-224, 2020 | 47 | 2020 |
| Qos-driven scheduling in 5g radio access networks-a reinforcement learning approach IS Comsa, A De-Domenico, D Ktenas GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-7, 2017 | 47 | 2017 |
| 360 Mulsemedia: A way to improve subjective QoE in 360 videos A Covaci, R Trestian, EB Saleme, IS Comsa, G Assres, CAS Santos, ... Proceedings of the 27th ACM International Conference on Multimedia, 2378-2386, 2019 | 41 | 2019 |
| 5MART: A 5G SMART scheduling framework for optimizing QoS through reinforcement learning IS Comșa, R Trestian, GM Muntean, G Ghinea IEEE Transactions on Network and Service Management 17 (2), 1110-1124, 2019 | 39 | 2019 |
| Self‐Learning‐Based Data Aggregation Scheduling Policy in Wireless Sensor Networks Y Lu, T Zhang, E He, IS Comşa Journal of Sensors 2018 (1), 9647593, 2018 | 38 | 2018 |
| Do I smell coffee? The tale of a 360 mulsemedia experience IS Comşa, EB Saleme, A Covaci, GM Assres, R Trestian, CAS Santos, ... IEEE MultiMedia 27 (1), 27-36, 2019 | 36 | 2019 |
| An innovative reinforcement learning-based framework for quality of service provisioning over multimedia-based sdn environments A Al-Jawad, IS Comşa, P Shah, O Gemikonakli, R Trestian IEEE Transactions on Broadcasting 67 (4), 851-867, 2021 | 33 | 2021 |
| Construction of data aggregation tree for multi-objectives in wireless sensor networks through jump particle swarm optimization Y Lu, J Chen, I Comsa, P Kuonen, B Hirsbrunner Procedia Computer Science 35, 73-82, 2014 | 33 | 2014 |
| 360˚ Mulsemedia Experience over Next Generation Wireless Networks - A Reinforcement Learning Approach IS Comsa, R Trestian, G Ghinea | 32 | 2018 |
| Dynamic data aggregation protocol based on multiple objective tree in wireless sensor networks Y Lu, IS Comsa, P Kuonen, B Hirsbrunner 2015 IEEE tenth international conference on intelligent sensors, sensor …, 2015 | 29 | 2015 |
| Adaptive data aggregation with probabilistic routing in wireless sensor networks Y Lu, IS Comsa, P Kuonen, B Hirsbrunner Wireless Networks 22, 2485-2499, 2016 | 26 | 2016 |
| The influence of human factors on 360∘ mulsemedia QoE EB Saleme, A Covaci, G Assres, IS Comsa, R Trestian, CAS Santos, ... International Journal of Human-Computer Studies 146, 102550, 2021 | 25 | 2021 |
| A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks IS Comsa, S Zhang, M Aydin, P Kuonen, JF Wagen 37th Annual IEEE Conference on Local Computer Networks, 332-335, 2012 | 24 | 2012 |
| Probabilistic data aggregation protocol based on ACO-GA hybrid approach in wireless sensor networks Y Lu, IS Comsa, P Kuonen, B Hirsbrunner 2015 8th IFIP Wireless and Mobile Networking Conference (WMNC), 235-238, 2015 | 22 | 2015 |
| Adaptive proportional fair parameterization based LTE scheduling using continuous actor-critic reinforcement learning IS Comşa, S Zhang, M Aydin, J Chen, P Kuonen, JF Wagen 2014 IEEE global communications conference, 4387-4393, 2014 | 22 | 2014 |
| Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks IS Comşa, M Aydin, S Zhang, P Kuonen, JF Wagen, Y Lu 39th Annual IEEE conference on local computer networks, 418-421, 2014 | 18 | 2014 |
| Reinforcement learning based radio resource scheduling in LTE-advanced IS Comşa, M Aydin, S Zhang, P Kuonen, JF Wagen The 17th International Conference on Automation and Computing, 219-224, 2011 | 18 | 2011 |
| A machine learning resource allocation solution to improve video quality in remote education IS Comşa, A Molnar, I Tal, P Bergamin, GM Muntean, CH Muntean, ... IEEE Transactions on Broadcasting 67 (3), 664-684, 2021 | 16 | 2021 |
