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Vlado Menkovski
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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
1212009
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
882019
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
792013
Online QoE prediction
V Menkovski, G Exarchakos, A Liotta
Quality of Multimedia Experience (QoMEX), 2010 Second International Workshop …, 2010
782010
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
722022
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
712019
Machine Learning approach for Quality of Experience aware networks
V Menkovski, G Exarchakos, A Liotta
Intelligent Networking and Collaborative Systems (INCOS), 2010 2nd …, 2010
582010
Intelligent control for adaptive video streaming
V Menkovski, A Liotta
2013 IEEE international conference on consumer electronics (ICCE), 127-128, 2013
502013
Diffusion variational autoencoders
LAP Rey, V Menkovski, JW Portegies
Twenty-Ninth International Joint Conference on Artificial Intelligence …, 2020
482020
The value of relative quality in video delivery
V Menkovski, G Exarchakos, A Liota, A Liotta
482011
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
452010
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
422021
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
382018
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
372022
Adaptive psychometric scaling for video quality assessment
V Menkovski, A Liotta
Signal Processing: Image Communication, 2012
372012
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
362020
Optimized online learning for QoE prediction
V Menkovski, A Oredope, A Liotta, AC Sánchez
21st Benelux Conference on Artificial Intelligence (BNAIC 2009), Eindhoven …, 2009
332009
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
322013
Bridging the Performance Gap between FGSM and PGD Adversarial Training
T Huang, V Menkovski, Y Pei, M Pechenizkiy
arXiv preprint arXiv:2011.05157, 2020
282020
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
272019
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