Vlado Menkovski

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Antonio LiottaProfessor at Faculty of Engineering, University of Bozen-Bolzano, ItalyVerified email at unibz.it
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
Georgios ExarchakosElectrical Engineering, Eindhoven University of TechnologyVerified email at tue.nl
Tianjin HuangAsst. Professor, CS@University of Exeter & Researcher Fellow, CS@TU/eVerified email at tue.nl
Yulong PeiEindhoven University of TechnologyVerified email at tue.nl
Antonio Cuadra-SanchezIndra SistemasVerified email at indra.es
Lu YinAsst. Professor, CS@University of Surrey & Researcher Fellow, CS@TU/eVerified email at tue.nl
Meng FangUniversity of LiverpoolVerified email at liverpool.ac.uk
Shiwei LiuUniversity of Oxford & Eindhoven University of TechnologyVerified email at maths.ox.ac.uk
Decebal Constantin MocanuAssociate Professor in Machine Learning, University of Luxembourg, TU EindhovenVerified email at uni.lu
Jacobus W. PortegiesAssistant Professor, Eindhoven University of TechnologyVerified email at tue.nl
Loek TonnaerPhD Candidate, Eindhoven University of TechnologyVerified email at tue.nl
Alessandro CorbettaEindhoven University of TechnologyVerified email at tue.nl
Federico ToschiEindhoven University of TechnologyVerified email at tue.nl
Yoeri PoelsEindhoven University of Technology & École Polytechnique Fédérale de LausanneVerified email at epfl.ch
Iftitahu Ni'mahBRIN Indonesia, NLP Research Group, Center for Data and Information Sciences (PRSDI)Verified email at brin.go.id
Alessandro PauResearch ScientistVerified email at epfl.ch
Koen MinartzPhD candidate at Eindhoven University of TechnologyVerified email at tue.nl
Yuhao WangNational University of SingaporeVerified email at comp.nus.edu.sg
Stefan ThalerTU/eVerified email at tue.nl

Vlado Menkovski

Associate Professor, Eindhoven University of Technology

Verified email at tue.nl - Homepage

Scientific Machine Learning Deep Geometric Learning Generative AI Data Driven Simulation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	87	2019
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	79	2013
Online QoE prediction V Menkovski, G Exarchakos, A Liotta Quality of Multimedia Experience (QoMEX), 2010 Second International Workshop …, 2010	79	2010
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	69	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	69	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	41	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	38	2018
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	35	2022
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	35	2020
Adaptive psychometric scaling for video quality assessment V Menkovski, A Liotta Signal Processing: Image Communication, 2012	35	2012
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
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
Process discovery using graph neural networks D Sommers, V Menkovski, D Fahland 2021 3rd International Conference on Process Mining (ICPM), 40-47, 2021	27	2021

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