Decebal Constantin Mocanu

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	All	Since 2016
Citations	1112	987
h-index	18	16
i10-index	30	27

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2014201520162017201820192020202127 93 85 134 201 237 317 4

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Antonio LiottaProfessor at Faculty of Computer Science, University of Bozen-Bolzano, ItalyVerified email at unibz.it
Maria Torres VegaPostdoctoral researcher, Ghent UniversityVerified email at ugent.be
Elena MocanuAssistant Professor, University of TwenteVerified email at utwente.nl
Madeleine GibescuProfessor of Intermittent Renewable Energy, Utrecht UniversityVerified email at uu.nl
Haitham Bou AmmarReinforcement Learning Team Leader @ Huawei London & H. Lecturer @ UCLVerified email at huawei.com
Phuong H. NguyenEindhoven University of TechnologyVerified email at tue.nl
Georgios ExarchakosElectrical Engineering, Eindhoven University of TechnologyVerified email at tue.nl
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolVerified email at google.com
Gerhard WeissProfessor of Computer Science and Artificial Intelligence, Maastricht UniversityVerified email at maastrichtuniversity.nl
Kurt DriessensAssociate Professor, Maastricht UniversityVerified email at maastrichtuniversity.nl
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Eric EatonUniversity of PennsylvaniaVerified email at cis.upenn.edu
Matthew E. TaylorAssociate Professor, University of AlbertaVerified email at ualberta.ca
Giancarlo FortinoFull Professor of Computer Engineering, Università della CalabriaVerified email at unical.it
Anil YamanPostdoctoral Researcher, Korea Advanced Institute of Science and TechnologyVerified email at kaist.ac.kr
Shiwei LiuPh.D. of Department of Mathematics and Computer Science, Eindhoven University of TechnologyVerified email at tue.nl
Stavros StavrouProfessor, Open University of CyprusVerified email at ouc.ac.cy
Michael E. WebberENGIE and The University of Texas at AustinVerified email at mail.utexas.edu
J.G. Slootweghoogleraar Smart Grids, Technische Universiteit EindhovenVerified email at tue.nl

Decebal Constantin Mocanu

University of Twente (Assistant Professor), Eindhoven University of Technology

Verified email at utwente.nl - Homepage

artificial intelligence sparse neural networks scalable deep learning continual learning evolutionary computing


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On-line building energy optimization using deep reinforcement learning E Mocanu, DC Mocanu, PH Nguyen, A Liotta, ME Webber, M Gibescu, ... IEEE transactions on smart grid 10 (4), 3698-3708, 2018	171	2018
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science DC Mocanu, E Mocanu, P Stone, PH Nguyen, M Gibescu, A Liotta Nature communications 9 (1), 1-12, 2018	124	2018
An automated measure of mdp similarity for transfer in reinforcement learning HB Ammar, E Eaton, ME Taylor, DC Mocanu, K Driessens, G Weiss, ... Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014	58	2014
A topological insight into restricted Boltzmann machines DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta Machine Learning 104 (2), 243--270, 2016	55	2016
Automatically mapped transfer between reinforcement learning tasks via three-way restricted boltzmann machines HB Ammar, DC Mocanu, ME Taylor, K Driessens, K Tuyls, G Weiss Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013	52*	2013
Deep learning for quality assessment in live video streaming MT Vega, DC Mocanu, J Famaey, S Stavrou, A Liotta IEEE signal processing letters 24 (6), 736-740, 2017	48	2017
Factored four way conditional restricted boltzmann machines for activity recognition DC Mocanu, HB Ammar, D Lowet, K Driessens, A Liotta, G Weiss, K Tuyls Pattern Recognition Letters 66, 100-108, 2015	48*	2015
Factored Four Way Conditional Restricted Boltzmann Machines for Activity Recognition (Type B Paper) DC Mocanu, HB Ammar, D Lowet, K Driessens, A Liotta, G Weiss, K Tuyls Proceedings of the 27th Benelux Conference on Artificial Intelligence …, 2015	44*	2015
DEEP LEARNING FOR OBJECTIVE QUALITY ASSESSMENT OF 3D IMAGES DC Mocanu, G Exarchakos, A Liotta IEEE International Conference on Image Processing (ICIP), 2014	40	2014
Big IoT data mining for real-time energy disaggregation in buildings DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016	37	2016
When does lower bitrate give higher quality in modern video services? DC Mocanu, A Liotta, A Ricci, MT Vega, G Exarchakos 2014 IEEE Network Operations and Management Symposium (NOMS), 1-5, 2014	34	2014
Predictive no-reference assessment of video quality MT Vega, DC Mocanu, S Stavrou, A Liotta Signal Processing: Image Communication 52, 20-32, 2017	30	2017
Reduced Reference Image Quality Assessment via Boltzmann Machines DC Mocanu, G Exarchakos, HB Ammar, A Liotta	30	2015
No-reference video quality measurement: added value of machine learning DC Mocanu, J Pokhrel, JP Garella, J Seppänen, E Liotou, M Narwaria Journal of Electronic Imaging 24 (6), 061208, 2015	29	2015
Towards ABAC Policy Mining from Logs with Deep Learning DC Mocanu, F Turkmen, A Liotta 18th International Multiconference, IS 2015, Intelligent Systems, Ljubljana …, 2015	29	2015
Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance F Cauteruccio, G Fortino, A Guerrieri, A Liotta, DC Mocanu, C Perra, ... Information Fusion 52, 13-30, 2019	26	2019
An experimental survey of no-reference video quality assessment methods MT Vega, V Sguazzo, DC Mocanu, A Liotta International Journal of Pervasive Computing and Communications, 2016	23	2016
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	23	2013
Cognitive No-Reference Video Quality Assessment for Mobile Streaming Services MT Vega, E Giordano, DC Mocanu, D Tjondronegoro, A Liotta Quality of Multimedia Experience (QoMEX), 1-6, 2015	20*	2015
Online contrastive divergence with generative replay: Experience replay without storing data DC Mocanu, MT Vega, E Eaton, P Stone, A Liotta arXiv preprint arXiv:1610.05555, 2016	16	2016

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