| Predicting quality of experience in multimedia streaming V Menkovski, A Oredope, A Liotta, AC Sánchez Proceedings of the 7th International Conference on Advances in Mobile …, 2009 | 122 | 2009 |
| Physics research on the TCV tokamak facility: from conventional to alternative scenarios and beyond S Coda, M Agostini, R Albanese, S Alberti, E Alessi, S Allan, J Allcock, ... Nuclear Fusion 59 (11), 112023, 2019 | 86 | 2019 |
| Online QoE prediction V Menkovski, G Exarchakos, A Liotta Quality of Multimedia Experience (QoMEX), 2010 Second International Workshop …, 2010 | 79 | 2010 |
| Method for calculating perception of the user experience of the quality of monitored integrated telecommunications operator services AC SÁNCHEZ, MDMC RODRÍGUEZ, A Liotta, V Menkovski US Patent App. 13/697,891, 2013 | 77 | 2013 |
| Overview of the TCV tokamak experimental programme H Reimerdes, M Agostini, E Alessi, S Alberti, Y Andrebe, H Arnichand, ... Nuclear Fusion 62 (4), 042018, 2022 | 63 | 2022 |
| Micro-expression detection in long videos using optical flow and recurrent neural networks M Verburg, V Menkovski 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 62 | 2019 |
| Machine Learning approach for Quality of Experience aware networks V Menkovski, G Exarchakos, A Liotta Intelligent Networking and Collaborative Systems (INCOS), 2010 2nd …, 2010 | 59 | 2010 |
| The value of relative quality in video delivery V Menkovski, G Exarchakos, A Liota, A Liotta | 50 | 2011 |
| Diffusion variational autoencoders LAP Rey, V Menkovski, JW Portegies Twenty-Ninth International Joint Conference on Artificial Intelligence …, 2020 | 48 | 2020 |
| Intelligent control for adaptive video streaming V Menkovski, A Liotta 2013 IEEE international conference on consumer electronics (ICCE), 127-128, 2013 | 48 | 2013 |
| Quality of experience models for multimedia streaming V Menkovski, G Exarchakos, A Liotta, AC Sánchez Int J Mobile Comput Multimedia Commun (IJMCMC) 2 (4), 1-20, 2010 | 45 | 2010 |
| Efficient and effective training of sparse recurrent neural networks S Liu, I Ni’mah, V Menkovski, DC Mocanu, M Pechenizkiy Neural Computing and Applications 33, 9625-9636, 2021 | 36 | 2021 |
| Shunting trains with deep reinforcement learning E Peer, V Menkovski, Y Zhang, WJ Lee 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 35 | 2018 |
| Adaptive psychometric scaling for video quality assessment V Menkovski, A Liotta Signal Processing: Image Communication, 2012 | 35 | 2012 |
| Causal Discovery from Incomplete Data: A Deep Learning Approach Y Wang, V Menkovski, H Wang, X Du, M Pechenizkiy arXiv preprint arXiv:2001.05343, 2020 | 34 | 2020 |
| Optimized online learning for QoE prediction V Menkovski, A Oredope, A Liotta, AC Sánchez 21st Benelux Conference on Artificial Intelligence (BNAIC 2009), Eindhoven …, 2009 | 33 | 2009 |
| Instantaneous video quality assessment for lightweight devices A Liotta, DC Mocanu, V Menkovski, L Cagnetta, G Exarchakos Proceedings of International Conference on Advances in Mobile Computing …, 2013 | 32 | 2013 |
| Hop-count based self-supervised anomaly detection on attributed networks T Huang, Y Pei, V Menkovski, M Pechenizkiy Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 31 | 2022 |
| Measuring Quality of Experience on a commercial mobile TV platform V Menkovski, G Exarchakos, A Liotta, AC Sánchez Advances in Multimedia (MMEDIA), 2010 Second International Conferences on, 33-38, 2010 | 28 | 2010 |
| VANET Meets Deep Learning: The Effect of Packet Loss on the Object Detection Performance Y Wang, V Menkovski, IWH Ho, M Pechenizkiy 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 1-5, 2019 | 26 | 2019 |
Antonio LiottaProfessor at Faculty of Engineering, University of Bozen-Bolzano, Italyunibz.it의 이메일 확인됨