| Using ant colony system to consolidate VMs for green cloud computing F Farahnakian, A Ashraf, T Pahikkala, P Liljeberg, J Plosila, I Porres, ... IEEE transactions on services computing 8 (2), 187-198, 2014 | 408 | 2014 |
| A deep auto-encoder based approach for intrusion detection system F Farahnakian, J Heikkonen 2018 20th International Conference on Advanced Communication Technology …, 2018 | 293 | 2018 |
| LiRCUP: Linear regression based CPU usage prediction algorithm for live migration of virtual machines in data centers F Farahnakian, P Liljeberg, J Plosila 2013 39th Euromicro conference on software engineering and advanced …, 2013 | 236 | 2013 |
| Energy-efficient virtual machines consolidation in cloud data centers using reinforcement learning F Farahnakian, P Liljeberg, J Plosila 2014 22nd Euromicro International Conference on Parallel, Distributed, and …, 2014 | 191 | 2014 |
| Energy-aware VM consolidation in cloud data centers using utilization prediction model F Farahnakian, T Pahikkala, P Liljeberg, J Plosila, NT Hieu, H Tenhunen IEEE Transactions on Cloud Computing 7 (2), 524-536, 2016 | 190 | 2016 |
| Utilization prediction aware VM consolidation approach for green cloud computing F Farahnakian, T Pahikkala, P Liljeberg, J Plosila, H Tenhunen 2015 IEEE 8th International Conference on Cloud Computing, 381-388, 2015 | 127 | 2015 |
| Energy aware consolidation algorithm based on k-nearest neighbor regression for cloud data centers F Farahnakian, T Pahikkala, P Liljeberg, J Plosila 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing …, 2013 | 114 | 2013 |
| HARAQ: congestion-aware learning model for highly adaptive routing algorithm in on-chip networks M Ebrahimi, M Daneshtalab, F Farahnakian, J Plosila, P Liljeberg, ... 2012 IEEE/ACM Sixth International Symposium on Networks-on-Chip, 19-26, 2012 | 111 | 2012 |
| Q-learning based congestion-aware routing algorithm for on-chip network F Farahnakian, M Ebrahimi, M Daneshtalab, P Liljeberg, J Plosila 2011 IEEE 2nd International Conference on Networked Embedded Systems for …, 2011 | 81 | 2011 |
| Energy-aware dynamic VM consolidation in cloud data centers using ant colony system F Farahnakian, A Ashraf, P Liljeberg, T Pahikkala, J Plosila, I Porres, ... 2014 IEEE 7th International Conference on Cloud Computing, 104-111, 2014 | 59 | 2014 |
| Deep learning based multi-modal fusion architectures for maritime vessel detection F Farahnakian, J Heikkonen Remote Sensing 12 (16), 2509, 2020 | 56 | 2020 |
| Artificial immune system based intrusion detection: innate immunity using an unsupervised learning approach F Hosseinpour, PV Amoli, F Farahnakian, J Plosila, T Hämäläinen International Journal of Digital Content Technology and its Applications 8 …, 2014 | 54 | 2014 |
| An efficient multi-sensor fusion approach for object detection in maritime environments MH Haghbayan, F Farahnakian, J Poikonen, M Laurinen, P Nevalainen, ... 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 36 | 2018 |
| Adaptive reinforcement learning method for networks-on-chip F Farahnakian, M Ebrahimi, M Daneshtalab, J Plosila, P Liljeberg 2012 International Conference on Embedded Computer Systems (SAMOS), 236-243, 2012 | 36 | 2012 |
| Multi-agent based architecture for dynamic VM consolidation in cloud data centers F Farahnakian, T Pahikkala, P Liljeberg, J Plosila, H Tenhunen 2014 40th EUROMICRO Conference on Software Engineering and Advanced …, 2014 | 29 | 2014 |
| Hierarchical vm management architecture for cloud data centers F Farahnakian, P Liljeberg, T Pahikkala, J Plosila, H Tenhunen 2014 IEEE 6th international conference on cloud computing technology and …, 2014 | 28 | 2014 |
| Self-adaptive resource management system in IaaS clouds F Farahnakian, R Bahsoon, P Liljeberg, T Pahikkala 2016 IEEE 9th international conference on cloud computing (CLOUD), 553-560, 2016 | 27 | 2016 |
| Bi-LCQ: A low-weight clustering-based Q-learning approach for NoCs F Farahnakian, M Ebrahimi, M Daneshtalab, P Liljeberg, J Plosila Microprocessors and Microsystems 38 (1), 64-75, 2014 | 21 | 2014 |
| Optimized Q-learning model for distributing traffic in on-chip networks F Farahnakian, M Ebrahimi, M Daneshtalab, J Plosila, P Liljeberg 2012 IEEE 3rd International Conference on Networked Embedded Systems for …, 2012 | 20 | 2012 |
| Comparing cnn-based object detectors on two novel maritime datasets V Soloviev, F Farahnakian, L Zelioli, B Iancu, J Lilius, J Heikkonen 2020 IEEE international conference on multimedia & expo workshops (ICMEW), 1-6, 2020 | 19 | 2020 |
